وظائف مدخل بيانات في المغرب
١٤٠٩ وظائف شاغرة
<h2 class="h5">Job description</h2>
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Job : <p> Reporting to the logistics operations manager, your main tasks will be: <br> • Manually enter orders received by email into the WMS. <br> • Integrate customer order files according to internal procedures. <br> • Check the consistency of information received before entry or integration. <br> • Verify item references, quantities, recipients, delivery addresses, and requested dates. <br> • Identify and report missing, inconsistent, or non-compliant data. <br> • Follow up on entered orders until they are validated in the system. <br> • Update tracking tables and reporting tools related to orders. <br> • File and archive emails, files, and documents related to customer orders. <br> • Collaborate with the preparation, stock, control, shipping, and customer service teams. <br> • Meet processing deadlines to ensure the smooth execution of operations. <br> • Ensure the reliability, confidentiality, and traceability of the entered data. <br> </p><br><br> <br> Required profile : <p> • High school diploma or equivalent. <br> • Previous experience in data entry, logistics administration, sales administration, customer service, or order management is desired. <br> • Good command of office tools, especially Excel and Outlook. <br> • Comfortable with order files, Excel spreadsheets, and computer systems. <br> • Knowledge or use of a WMS, ERP, or order management software is desired. <br> • Good ability to check references, quantities, addresses, and customer information. <br> • Rigor, speed, and reliability in data entry. <br> • Attention to detail and good concentration skills. <br> • Ability to handle multiple requests within deadlines. <br> • Seriousness, discretion, and respect for procedures. <br> • Team spirit and availability.</p><br><br> <br><br> </div>
<h2 class="h5">Job description</h2>
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<span></span><p><span><b><span><span><span>Ribatis</span></span></span></b><span><span><span> éditeur de solutions logicielles innovantes dans le
secteur e-Gov, recherche son/sa prochain(e) </span><b><span>Superviseur d'équipe de saisie de données</span></b><span> pour </span></span></span><span><span><span><span>Superviser et coordonner le travail
d'une équipe d'opérateurs de saisie chargés de collecter, vérifier et mettre à
jour les données d'un annuaire de services, en garantissant l'exhaustivité,
l'exactitude et la conformité juridique des informations publiées.</span></span></span></span><br></span></p><br><p><span><span><span>·</span></span></span><b><span><span><span>PRINCIPALES RESPONSABILITÉS</span></span></span></b><br></p><br><p><b><span><span><span>1. Pilotage opérationnel de l'équipe</span></span></span></b><br></p><br><ul><li><span><span>Organiser et répartir les charges de travail quotidiennes</span></span><br></li><li><span><span>Définir et suivre les objectifs quantitatifs et qualitatifs</span></span><br></li><li><span><span>Assurer la rotation et la polyvalence des opérateurs</span></span><br></li><li><span><span>Gérer les plannings et les absences</span></span><br></li></ul><p><b><span><span><span>2. Contrôle qualité des données</span></span></span></b><br></p><br><ul><li><span><span>Mettre en place des procédures de vérification systématique</span></span><br></li><li><span><span>Effectuer des audits aléatoires sur les fiches saisies</span></span><br></li><li><span><span>Maintenir un tableau de bord des indicateurs qualité</span></span><br></li><li><span><span>Traiter les réclamations et demandes de correction</span></span><br></li></ul><p><b><span><span><span>3. Gestion des sources et de la
conformité</span></span></span></b><br></p><br><ul><li><span><span>Valider les sources de collecte des données</span></span><br></li><li><span><span>Veiller au respect de la loi de protection des données à caractère personnel et des règles de diffusion</span></span><br></li><li><span><span>Mettre à jour le référentiel des données autorisées</span></span><br></li><li><span><span>Archiver les justificatifs de collecte</span></span><br></li></ul><p><b><span><span><span>4. Amélioration continue</span></span></span></b><br></p><br><ul><li><span><span>Identifier et résoudre les problèmes récurrents</span></span><br></li><li><span><span>Proposer des optimisations des processus</span></span><br></li><li><span><span>Former les opérateurs aux nouvelles procédures</span></span><br></li><li><span><span>Rédiger des guides méthodologiques</span></span><br></li></ul><p><b><span><span><span>5. Reporting et communication</span></span></span></b><br></p><br><ul><li><span><span>Rendre compte régulièrement à la direction</span></span><br></li><li><span><span>Faire remonter les difficultés opérationnelles</span></span><br></li><li><span><span>Animer les réunions d'équipe</span></span><br></li><li><span><span>Assurer l'interface avec les autres services</span></span><br></li></ul><p><span><b><span><span>Comment
postuler ?</span></span></b><br></span></p><br><p><span><span><span>Les candidats
intéressés sont invités à envoyer <b>leur CV et leur lettre de motivation</b> à
l'adresse suivante : <b>rh@ribatis.com</b> en précisant dans
l'objet <b>« Candidature - Supérviseur équipe saisie de données »</b>.</span></span><br></span></p><br><br><span>Profil</span><p><b><span><span><span>Formation et expérience :</span></span></span></b><br></p><br><ul><li><span><span>Bac+3 minimum en gestion de l'information ou équivalent</span></span><br></li><li><span><span>3 ans d'expérience dont 1 an en encadrement</span></span><br></li><li><span><span>Expérience dans la gestion de données de référence appréciée</span></span><br></li></ul><b><span><span><span>Compétences techniques :</span></span></span></b><br><br><ul><li><span><span>Expérience confirmée en gestion de données</span></span><br></li><li><span><span>Maîtrise des outils de gestion de bases de données</span></span><br></li><li><span><span>Connaissance des enjeux juridiques (Données personnelles, droit de réutilisation)</span></span><br></li><li><span><span>Pratique avancée d'Excel et des outils de reporting</span></span><br></li><li><span><span>Compréhension des enjeux des annuaires de services</span></span><br></li></ul><p><b><span><span><span>Qualités personnelles :</span></span></span></b><br></p><br><ul><li><span><span>Sens aigu de l'organisation</span></span><br></li><li><span><span>Rigueur et exigence qualité</span></span><br></li><li><span><span>Pédagogie et leadership</span></span><br></li><li><span><span>Capacité d'analyse et de synthèse</span></span><br></li><li><span><span>Résistance au stress</span></span><br></li></ul><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>As a Senior Data Engineer, you will be responsible for designing, coding, testing, and deploying data ingestion, processing, modeling, and valorization pipelines, so that this data can be restored and visualized through web applications, using modern technologies.</p><p>Your main missions:</p><ul><li>Work on Data and Cloud environments, particularly GCP.</li><li>Exploit BigQuery and advanced SQL on large volumes of data.</li><li>Appropriation of new LLM technologies in its development routine</li><li>Manage real-time flows with Pub/Sub.</li><li>Automate data workflows via GitLab CI/CD and Docker Compose.</li><li>Version code with Git.</li><li>Collaborate in an agile environment (Scrum).</li><li>Data modeling and preparation: design optimized pipelines in BigQuery, ensuring the quality, reliability, and consistency of analyses.</li><li>Meet deadlines while maintaining high standards of quality and excellence</li><li>Communicate clearly and effectively in writing and orally in French for fluid interactions with the business and teams</li><li>Analyze situations and propose appropriate solutions while identifying areas for improvement</li><li>Actively collaborate with team members, share knowledge and foster a collective spirit to achieve common goals</li><li>Apply a spirit of continuous improvement to optimize practices and results</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>For this position, you will need:</p><ul><li>Mastery of DBT for data transformation and orchestration.</li><li>Significant experience in data modeling and implementation of semantic layers with Looker/LookML</li><li>Knowledge of machine learning and Agentic</li><li>Experience with the Google suite.</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>You will be responsible for designing, coding, testing, and deploying data ingestion, processing, modeling, and valorization pipelines, leveraging senior expertise and adopting new LLM technologies in the development routine. The consultant will be responsible for:</p><p>Designing and developing optimized data pipelines (ingestion, processing, modeling, valorization).</p><p>Mastering and using DBT for data transformation and orchestration.</p><p>Leveraging BigQuery and advanced SQL on large data volumes.</p><p>Implementing semantic layers with Looker / LookML.</p><p>Modeling data ensuring the quality, reliability, and consistency of analyses.</p><p>Integrating new LLM technologies into the data development routine.</p><p>Managing real-time flows with Pub/Sub (nice to have).</p><p>Automating data workflows via GitLab CI/CD and Docker Compose.</p><p>Versioning code with Git.</p><p>Collaborating in an agile Scrum environment.</p><p>Communicating clearly with business and technical teams in French.</p><p>Analyzing situations and proposing appropriate solutions by identifying areas for improvement.</p><p>Applying a spirit of continuous improvement to optimize practices and results.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Graduated from a Bac+5 in an engineering school or equivalent university with a specialization in IT, or with equivalent significant experience.</p><p>Experience: More than 7 years of experience in Data Engineering DBT / SQL and BigQuery.</p><p>Bac+5 degree (Engineering school or university) oriented towards IT or equivalent experience.</p><p>Required skills:</p><p>Must have: DBT, GCP, BigQuery, advanced SQL, Looker / LookML, data modeling, LLM (integration into development)</p><p>Nice to have: Pub/Sub, GitLab CI/CD, Docker Compose, Git, Scrum / Agile, Machine Learning, Agentic AI, Google Workspace / Google suite</p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >As part of strengthening our Data teams, we are looking for profiles capable of designing, industrializing and optimizing data platforms (batch & real-time) within distributed environments based on Cloudera.</font></font></p><p><font dir="auto" ><font dir="auto" >Your responsibilities:</font></font></p><p><font dir="auto" ><font dir="auto" >Development & Industrialization</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Develop massive data processing pipelines in PySpark (Batch and Real-Time / Streaming modes).</font></font></li><li><font dir="auto" ><font dir="auto" >Set up real-time streams via Kafka (topics, partitions, schemes, offsets) and ensure ingestion with NiFi.</font></font></li><li><font dir="auto" ><font dir="auto" >Model and optimize NoSQL schemas, especially on Cassandra (tables, keys, clustering, replication) and Hive.</font></font></li><li><font dir="auto" ><font dir="auto" >Integrate and transform data from multiple sources (APIs, databases, streams, files).</font></font></li></ul><p><font dir="auto" ><font dir="auto" >Quality, Performance & Reliability</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Deploy Data Quality mechanisms (controls, monitoring, alerting).</font></font></li><li><font dir="auto" ><font dir="auto" >Optimize Spark processing (partitioning, tuning, data formats) specifically for distributed architectures.</font></font></li><li><font dir="auto" ><font dir="auto" >To ensure the supervision and resolution of incidents in a production environment.</font></font></li></ul><p><font dir="auto" ><font dir="auto" >CI/CD & Governance</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Industrialize developments via CI/CD chains (automated testing, deployments).</font></font></li><li><font dir="auto" ><font dir="auto" >Documenting flows, models and best practices.</font></font></li><li><font dir="auto" ><font dir="auto" >Collaborating occasionally with third-party teams on Dataviz topics and collaborating with Data Scientists (particularly on customer segmentation algorithms).</font></font></li><li><font dir="auto" ><font dir="auto" >Contribute to data governance (catalogue, traceability, security).</font></font></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><font dir="auto" ><font dir="auto" >Experience: ~4 years of experience in distributed environments and Big Data architectures.</font></font></li><li><font dir="auto" ><font dir="auto" >Architecture: Strong interest and significant experience in On-Premise infrastructures.</font></font></li><li><font dir="auto" ><font dir="auto" >Spark / PySpark: Essential mastery in Batch and Streaming processing.</font></font></li><li><font dir="auto" ><font dir="auto" >NoSQL: Confirmed experience on Cassandra and/or Hive</font></font></li><li><font dir="auto" ><font dir="auto" >Streaming & Ingestion: Very good mastery of Kafka and NiFi</font></font></li><li><font dir="auto" ><font dir="auto" >Nice-to-have / Bonus: Good understanding of the Hadoop/HDFS ecosystem. Cloudera proficiency is a plus but remains optional.</font></font></li><li><font dir="auto" ><font dir="auto" >Concepts in Data Science (models of customer clustering/segmentation) and Dataviz tools.</font></font></li><li><font dir="auto" ><font dir="auto" >Tools & DevOps: Skills in Git, CI/CD (GitLab CI) and an orchestration tool (Airflow, Luigi, Prefect).</font></font></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <p><font dir="auto" ><font dir="auto" >As an experienced Data Engineer, you will be responsible for:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop, and maintain robust and scalable ETL/ELT data pipelines using Databricks, </font></font><strong><font dir="auto" ><font dir="auto" >Python</font></font></strong><font dir="auto" ><font dir="auto" > , and SQL</font></font></li> <li><font dir="auto" ><font dir="auto" > Integrate data from multiple sources (databases, files, APIs, etc.)</font></font></li> <li><font dir="auto" ><font dir="auto" > Transform and clean the data to guarantee its quality and consistency</font></font></li> <li><font dir="auto" ><font dir="auto" > Automate data processing tasks for efficient and reliable execution</font></font></li> <li><font dir="auto" ><font dir="auto" > Implement monitoring and alert processes to ensure pipeline availability and health.</font></font></li> <li><font dir="auto" ><font dir="auto" > Collaborating with data analysts and data scientists to understand their data needs and provide them with high-quality data</font></font></li> <li><font dir="auto" ><font dir="auto" > Document data pipelines and processes clearly and concisely</font></font></li> <li><font dir="auto" ><font dir="auto" > Stay up-to-date on the latest technologies and trends in Big Data and data analytics.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li><font dir="auto" ><font dir="auto" > Degree in computer engineering, mathematics, statistics or a related field</font></font></li> <li><font dir="auto" ><font dir="auto" > Proficiency in </font></font><strong><font dir="auto" ><font dir="auto" >English, both written and spoken.</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" > Minimum </font></font><strong><font dir="auto" ><font dir="auto" >5 years of experience as a Data Engineer</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" > Expertise in Databricks, Python and SQL</font></font></li> <li><font dir="auto" ><font dir="auto" > Experience in data integration, data transformation, and data cleansing</font></font></li> <li><font dir="auto" ><font dir="auto" > Solid understanding of Big Data architectures</font></font></li> <li><font dir="auto" ><font dir="auto" > Experience in developing batch and streaming data pipelines</font></font></li> <li><font dir="auto" ><font dir="auto" > Experience in setting up monitoring and alert processes</font></font></li> <li><font dir="auto" ><font dir="auto" > Excellent communication and collaboration skills</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" > Ability to work independently and manage multiple projects simultaneously. </font></font><br><font dir="auto" ><font dir="auto" >
Team spirit and willingness to share knowledge.</font></font></p></div><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p><font dir="auto" ><font dir="auto" >We are looking for a </font></font><strong><font dir="auto" ><font dir="auto" >Data Expert</font></font></strong><font dir="auto" ><font dir="auto" > to join our team and play a strategic role in the management, analysis, and use of our data. As a Data Expert, you will be the technical point of contact for all data management issues within the company, ensuring data quality, security, and compliance while enabling its optimal use by business teams.</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Responsibilities</font></font></strong> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Data architecture and governance</font></font></strong><font dir="auto" ><font dir="auto" > : Design and implement robust and scalable data architectures, ensuring clear and effective data governance across the organization.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data quality management</font></font></strong><font dir="auto" ><font dir="auto" > : developing and implementing processes and tools to ensure the quality, consistency and reliability of data at each stage of its lifecycle.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data modeling</font></font></strong><font dir="auto" ><font dir="auto" > : Create data models adapted to the needs of the business, ensuring their alignment with strategic objectives.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Advanced data analysis and exploitation</font></font></strong><font dir="auto" ><font dir="auto" > : Analyze large datasets to extract relevant insights that support strategic decision-making. Design and implement dashboards and reports to facilitate business analysis.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Security and compliance</font></font></strong><font dir="auto" ><font dir="auto" > : Ensure compliance of data management practices with current regulations (GDPR, etc.), and implement robust security protocols to protect sensitive data.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Support for business teams</font></font></strong><font dir="auto" ><font dir="auto" > : Working closely with operational, marketing, sales, etc. teams to understand their data needs and provide them with suitable solutions.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Process optimization</font></font></strong><font dir="auto" ><font dir="auto" > : Propose continuous improvements to data management processes, using the latest available technologies to maximize efficiency and reduce costs.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Technology watch</font></font></strong><font dir="auto" ><font dir="auto" > : Staying at the forefront of trends in data management, Big Data, AI and analytics to anticipate developments and provide innovative solutions.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Training and awareness</font></font></strong><font dir="auto" ><font dir="auto" > : Train and raise awareness among employees regarding data management, data quality and information security within the company.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><font dir="auto" ><font dir="auto" >Qualifications </font></font></p><div> <p> <strong><font dir="auto" ><font dir="auto" >Required skills</font></font></strong> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Expertise in data management</font></font></strong><font dir="auto" ><font dir="auto" > : In-depth knowledge of best practices in data management, governance, data quality and security.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data management tools</font></font></strong><font dir="auto" ><font dir="auto" > : Proficiency in data management tools (ETL, Data Warehousing, Data Lakes), as well as Business Intelligence solutions (Power BI, Tableau, etc.).</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data modeling skills</font></font></strong><font dir="auto" ><font dir="auto" > : Knowledge of data modeling methodologies (e.g. relational, dimensional modeling).</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data analysis skills</font></font></strong><font dir="auto" ><font dir="auto" > : Experience with analytical tools and statistical techniques for data analysis (Python, R, SQL, etc.).</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Knowledge of databases</font></font></strong><font dir="auto" ><font dir="auto" > : Proficiency in relational (SQL Server, Oracle, MySQL) and non-relational (NoSQL) database management systems.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Knowledge of Big Data technologies</font></font></strong><font dir="auto" ><font dir="auto" > : Experience with Big Data platforms (Hadoop, Spark, etc.) and large-scale data processing tools.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data compliance and security</font></font></strong><font dir="auto" ><font dir="auto" > : Knowledge of data security standards and legal compliance, in particular the GDPR.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Technical English</font></font></strong><font dir="auto" ><font dir="auto" > : Good command of spoken and written English to interact with international teams and consult documentation.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >Desired profile</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Bac +5 degree in computer science, data science, engineering or equivalent.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Minimum 5-7 years experience</font></font></strong><font dir="auto" ><font dir="auto" > in data management, with specific experience in data governance, quality and analysis.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data Management certification</font></font></strong><font dir="auto" ><font dir="auto" > (DAMA, CDMP, etc.) or equivalent, a plus.</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid experience in managing complex data projects in a dynamic environment.</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong ability to transform technical challenges into solutions tailored to business needs.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent communication and presentation skills, with the ability to simplify technical concepts for non-technical stakeholders.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Analytical and problem-solving skills</font></font></strong><font dir="auto" ><font dir="auto" > , with the ability to identify opportunities for continuous improvement.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >Strengths</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Experience in integrating data from various sources (internal applications, APIs, external data).</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of AI and machine learning tools applied to data.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Experience with Data Governance tools</font></font></strong><font dir="auto" ><font dir="auto" > (Collibra, Alation, Informatica, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience in team management or technical mentoring.</font></font></li></ul></div><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><b><font dir="auto" ><font dir="auto" >Job Description </font></font></b><div> <p><font dir="auto" ><font dir="auto" >As a Data Engineer, you will join our data team to participate in strategic data analysis projects and the implementation of large-scale data processing solutions. You will be responsible for the design, optimization, and development of data pipelines on cloud platforms, with a focus on the use of </font></font><strong><font dir="auto" ><font dir="auto" >PySpark</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >Azure Data Factory</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Your main responsibilities will be:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and maintain large-scale data pipelines using </font></font><strong><font dir="auto" ><font dir="auto" >PySpark</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Set up data flows with </font></font><strong><font dir="auto" ><font dir="auto" >Azure Data Factory</font></font></strong><font dir="auto" ><font dir="auto" > , integrating various data sources and destinations (SQL, Data Lakes, APIs, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the integration of data from various systems in a cloud environment (Azure).</font></font></li> <li><font dir="auto" ><font dir="auto" >Optimize the performance of data processing (SQL, PySpark, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating with business teams, data analysts and data scientists to understand needs and propose effective and scalable solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in defining the data architecture and governance strategy.</font></font></li> <li><font dir="auto" ><font dir="auto" >Set up and monitor data processing jobs (error handling, performance management).</font></font></li> <li><font dir="auto" ><font dir="auto" >Document the solutions implemented and follow best development practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the continuous improvement of existing processes and tools.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications </b></p><div> <p><font dir="auto" ><font dir="auto" >We are looking for a candidate with strong technical expertise in large-scale data management and processing, with the following skills:</font></font></p> <p> <strong>Comp tences techniques :</strong> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Mastering PySpark</font></font></strong><font dir="auto" ><font dir="auto" > for processing massive data in a distributed environment.</font></font></li> <li><font dir="auto" ><font dir="auto" >Significant experience in setting up and managing </font></font><strong><font dir="auto" ><font dir="auto" >Azure Data Factory</font></font></strong><font dir="auto" ><font dir="auto" > for creating and orchestrating data pipelines.</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid experience in relational and non-relational databases (SQL, NoSQL).</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of data management tools in the </font></font><strong><font dir="auto" ><font dir="auto" >Azure</font></font></strong><font dir="auto" ><font dir="auto" > ecosystem (Azure Data Lake, Azure SQL Database, Azure Blob Storage, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Practical knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >Azure cloud services</font></font></strong><font dir="auto" ><font dir="auto" > and their use in data processing solutions (Azure Databricks, Azure Synapse Analytics, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with version control tools (Git, Azure DevOps, etc.) and good software development practices.</font></font></li> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >Knowledge of Big Data</font></font></strong><font dir="auto" ><font dir="auto" > concepts </font><font dir="auto" >and performance optimization in distributed environments.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >Personal skills:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Autonomy, rigor and attention to detail.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent ability to solve complex technical problems.</font></font></li> <li><font dir="auto" ><font dir="auto" >Good communication skills and ability to work in a team.</font></font></li> <li><font dir="auto" ><font dir="auto" >Analytical mindset and ability to understand business needs in order to propose appropriate solutions.</font></font></li> </ul> <p> <strong>Formation et exp rience :</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Master's degree (Bac +5) in computer science, data science, or an equivalent field.</font></font></li> <li><font dir="auto" ><font dir="auto" >Minimum of </font></font><strong><font dir="auto" ><font dir="auto" >3 years of experience</font></font></strong><font dir="auto" ><font dir="auto" > in a similar role, with proven experience in development on </font></font><strong><font dir="auto" ><font dir="auto" >PySpark</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >Azure Data Factory</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li></ul></div><p></p></section>
<h2 class="h5">Job description</h2>
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<span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).<br> Our proprietary AI orchestrator.<br> Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> About this role This role will give you the opportunity to work on high added value data governance and data quality projects, building robust data management frameworks for our clients within a growing service company.<br> As our Data Governance Specialist, you will help clients take control of their data assets — defining policies, enforcing quality standards, managing metadata, and deploying governance tooling.<br> You will collaborate closely with data engineers, analysts, and client stakeholders to embed governance practices across the full data lifecycle.<br> What will you do?<br> Design, implement, and operationalize data governance frameworks across client engagements, covering the following areas: DATA GOVERNANCE & POLICY Define and implement data governance frameworks, policies, and standards tailored to client environments.<br> Establish data ownership, stewardship models, and accountability structures across business and technical teams.<br> Develop and maintain data dictionaries, business glossaries, and classification taxonomies.<br> Ensure compliance with data regulations and internal data management policies (GDPR, BCBS 239, etc.<br>). DATA QUALITY & LINEAGE Design and implement data quality rules, profiling routines, and monitoring dashboards.<br> Investigate and remediate data quality issues across structured and unstructured data sources.<br> Map and document end-to-end data lineage to support auditability and impact analysis.<br> Define and track data quality KPIs and SLAs in collaboration with data owners.<br> METADATA & CATALOGUING Deploy and administer data catalog and metadata management tools (e.<br>g. Informatica, Collibra, Alation, Microsoft Purview).<br> Enrich metadata assets with business context, ownership, sensitivity classification, and usage information.<br> Drive adoption of the data catalog across business and technical teams.<br> TOOLING & INTEGRATION Configure and operate data governance platforms, primarily Informatica (IDMC, Axon, EDC, DQ) and equivalent tools.<br> Integrate governance tooling with existing data pipelines, warehouses, and BI environments.<br> Automate data quality checks and governance workflows within ETL/ELT pipelines.<br> OTHER Provide internal training and knowledge-sharing sessions on data governance best practices.<br> Support the Team Lead/Manager on client relationships, business development, and internal projects.<br> Who are you?<br> EDUCATION & PROFESSIONAL EXPERIENCE Master’s degree in a relevant field such as Computer Science, Information Systems, Data Management, Statistics, or Applied Mathematics.<br> Full proficiency in French and English 3 to 6 years of experience in data governance, data management, or data engineering with a strong governance focus.<br> Experience working in a consulting, financial services, or multi-client environment is a plus.<br> TECHNICAL SKILLS DATA GOVERNANCE TOOLS Proven hands-on experience with Informatica (IDMC / Intelligent Data Management Cloud, Axon Data Governance, Enterprise Data Catalog, Data Quality).<br> Experience with other governance and cataloguing platforms such as Collibra, Alation, Ataccama, or Microsoft Purview.<br> Familiarity with data quality tools: Great Expectations, Monte Carlo, Soda, or equivalent.<br> DATA ENGINEERING & QUERYING Solid experience with SQL for data profiling, querying, and quality rule implementation across relational databases and data warehouses (Snowflake, BigQuery, Synapse, Redshift).<br> Experience in Python for automating data quality checks, metadata extraction, and governance workflows.<br> Understanding of ETL/ELT pipelines and ability to embed governance controls within them (dbt, Airflow, Informatica PowerCenter/IDMC).<br> DATA ARCHITECTURE & PLATFORMS Good understanding of data platform architectures: data lake, lakehouse, and data warehouse environments.<br> Familiarity with cloud platforms and their native governance services: Azure Purview, AWS Glue Data Catalog, Google Dataplex.<br> Understanding of data modelling concepts and their impact on governance (dimensional modelling, data vault, etc.<br>). STANDARDS & COMPLIANCE Knowledge of data governance frameworks and standards: DAMA-DMBOK, BCBS 239, GDPR, ISO 8000.<br> Experience defining and applying data classification schemes (sensitivity labels, PII tagging, retention policies).<br> Exposure to master data management (MDM) concepts and tools is a plus.<br> INTERPERSONAL SKILLS Ability to engage and influence both technical teams and business stakeholders on data governance topics.<br> Strong analytical mindset with the ability to diagnose data quality issues and translate them into actionable remediation plans.<br> Good communication skills with the ability to document governance frameworks clearly and present findings to senior audiences.<br> Detail-oriented, rigorous, and comfortable working across multiple client contexts simultaneously.<br> What we offer A competitive salary.<br> A great working environment.<br> A steep learning curve with interesting and diverse topics to work on.<br> A healthy work-life balance.<br> Health insurance benefits.<br> Equal opportunity employer Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).<br> If you believe you match our requirements and values, we would be happy to hear from you.<br> Visit our website to know more about us, our services and company culture.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p><font dir="auto" ><font dir="auto" >We are looking for a Senior Data Engineer to join our teams </font></font><strong><font dir="auto" ><font dir="auto" >in Rabat</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >Casablanca</font></font></strong><font dir="auto" ><font dir="auto" > and participate in the development and maintenance of our Data Warehouse solutions. The successful candidate will be responsible for the design, development, and implementation of data pipelines.</font></font></p> <p> <strong>Responsabilit s</strong> :</p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and deploy data pipelines for our Data solutions using PySpark, Azure Data Factory and Azure Databricks, ensuring data quality and reliability.</font></font></li> <li><font dir="auto" ><font dir="auto" >Optimize the performance of data processing and queries.</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating closely with the business teams to understand the requirements and functional needs.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in technology monitoring and propose continuous improvements to optimize Data Warehouse processes and solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure complete documentation of architectures, solutions and data flows.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li><font dir="auto" ><font dir="auto" >5 years or more of experience in developing Data solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent PySpark master.</font></font></li> <li><font dir="auto" ><font dir="auto" >Practical experience with Azure Data Factory and Azure Databricks.</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid understanding of distributed data processing concepts.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to solve problems independently and debug effectively.</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong communication and teamwork skills.</font></font></li> </ul> <p> <strong>Comp tences appr ci es</strong> :</p> <ul> <li><font dir="auto" ><font dir="auto" >Experience with other Data Warehouse tools such as Hadoop, Hive, Kafka, etc.</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in Power BI for data visualization.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of Terraform for infrastructure automation.</font></font></li> <li><font dir="auto" ><font dir="auto" >Familiarity with Power Apps for business application development.</font></font></li></ul></div><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<br> Company culture : <p><strong>DXC – CDG</strong> stands out for a culture strongly focused on <strong>performance and competitiveness</strong>, where ambition, challenge and customer orientation shape priorities. This dynamic is balanced by a <strong>collaborative culture</strong>, fostering trust, empowerment and close managerial support. It also integrates an <strong>innovation dimension</strong>, encouraging initiative, adaptability and experimentation. Finally, a well-established <strong>organizational culture</strong> provides structure, ensuring process rigor, reliability and operational efficiency.
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<br> Job : <p>Responsibilities</p><br><br><ul><li>Design and manage complex end-to-end data architectures (ingestion, transformation, exposure).</li><li>Participate in high-value projects combining Data Engineering, Data Management, and data governance, with the ability to communicate with both technical teams and business stakeholders.</li><li>Act as a technical reference for junior/experienced profiles.</li><li>Participate in estimations and the writing of technical proposals.</li><li>Contribute to lessons learned, templates, and best practices for the Data capability.</li><li>Define and enforce data governance standards within projects (data quality, data lineage, master data management).</li></ul> <br> <br> Required profile : <p>Profile sought</p><br><br><ul><li>Master's degree in Engineering School, Data, Information Systems, or equivalent.</li><li>8 to 12 years of experience in Data projects in a client-facing context.</li><li>Proficiency in Data frameworks and tools: dbt, Spark, Airflow, Kafka, or equivalents.</li><li>Experience with cloud platforms: Azure (Data Factory, Synapse, Fabric), AWS, or GCP.</li><li>Certifications in Cloud Data, Databricks, Snowflake, or others are appreciated.</li><li>Ability to translate data challenges into business value.</li><li>Nice to Have: Experience in data governance: Informatica, Purview, Collibra, or equivalents.</li><li>Nice to Have: Knowledge of repositories and standards: DAMA-DMBOK appreciated.</li><li>Nice to Have: Experience in MDM (Master Data Management) and Data Quality with tools.</li><li>Languages: Fluent French and English.</li></ul> <br><br> </div>
<h2 class="h5">Job description</h2>
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<span></span><p><span>GEC recrute | Architecte Data Expert</span><br></p><br><p><span>Dans le cadre d'une mission stratégique pour le compte de son client bancaire, GEC – Global Experts Consulting recherche un Architecte Data Senior pour accompagner la définition et le déploiement de l'architecture Data de l'entreprise.</span><br></p><br><p><span>Vos missions :</span><br></p><br><span>Définir l'architecture Data cible en alignement avec la stratégie de la banque.</span><br><br><span>Concevoir et mettre en Åuvre des architectures modernes de gestion, de stockage et d'analyse des données.</span><br><br><span>Superviser l'intégration des données internes et externes.</span><br><br><span>Mettre en place les mécanismes de gouvernance, de qualité, de sécurité et de traçabilité des données.</span><br><br><span>Accompagner les équipes IT et métiers dans les projets Data et de transformation.</span><br><br><span>Optimiser les plateformes Data existantes et contribuer à leur évolution.</span><br><br><span>Assurer une veille technologique autour du Big Data, de l'IA et de la Business Intelligence.</span><br><br><p><span>Profil recherché :</span><br></p><br><span>Bac+5 en Informatique ou équivalent.</span><br><br><span>Plus de 10 ans d'expérience en architecture Data.</span><br><br><span>Expérience significative dans le secteur bancaire.</span><br><br><span>Expertise des architectures Data Lake et Data Warehouse.</span><br><br><span>Maîtrise de Hadoop, Spark, Snowflake, Azure Data Factory, Talend, Informatica, Kafka, Cloudera…</span><br><br><span>Solides compétences en modélisation de données, SQL, NoSQL, gouvernance Data, Agile et DevSecOps.</span><br><br><span>Excellentes capacités d'analyse, de communication et de leadership technique.</span><br><br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <p><font dir="auto" ><font dir="auto" >In this role, you will collaborate closely with our stakeholders, the IoT product management team, development teams, and other data scientists to define new products, services, and tools using data and machine learning. As a team member, you will work on developing data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets. You will also be responsible for supporting the teams with operational data-related tasks. </font></font><br>
<br><font dir="auto" ><font dir="auto" ><b>
Responsibilities</b></font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and deploy data-driven solutions to address a variety of business problems (predictive maintenance, equipment lifecycle analysis, etc.)</font></font></li> <li><font dir="auto" ><font dir="auto" >Understanding the requirements of product managers and providing insights and recommendations based on data analysis.</font></font></li> <li><font dir="auto" ><font dir="auto" >Working on the development of data models, algorithms and statistical analyses to extract meaningful insights from complex datasets.</font></font></li> <li><font dir="auto" ><font dir="auto" >Design and implement data pipelines and data warehouses to support data analysis and reporting needs.</font></font></li> <li><font dir="auto" ><font dir="auto" >Develop and maintain dashboards and visualizations to communicate insights and discoveries to stakeholders.</font></font></li> <li><font dir="auto" ><font dir="auto" >Mentor and coach developers on best practices in data analysis, modeling and visualization.</font></font></li> <li><font dir="auto" ><font dir="auto" >Keeping up to date with the latest advances in data science, machine learning and artificial intelligence technologies, and applying them to solve business problems.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li><font dir="auto" ><font dir="auto" >At least 7 years of experience in a similar role</font></font></li> <li><font dir="auto" ><font dir="auto" >At least 3 years of experience in a similar role</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with Big Data technologies such as Hadoop, Spark or Hive (experience with Databricks is a big plus).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with cloud technologies (ideally Microsoft Azure).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with Agile/Scrum disciplines based on Azure DevOps</font></font></li></ul></div><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><div> <div> <div> <u> <b>Mission</b> </u>
</div> <div> <p><font dir="auto" ><font dir="auto" >We are looking for a Data Specialist, reporting to the HR Shared Services department, whose responsibilities will include:</font></font></p> <p> </p> <ul> <li><font dir="auto" ><font dir="auto" >Collect, consolidate and ensure the reliability of HR data from different sources</font></font></li> <li><font dir="auto" ><font dir="auto" >Analyze the key indicators</font></font></li> <li><font dir="auto" ><font dir="auto" >Build automated and interactive dashboards</font></font></li> <li><font dir="auto" ><font dir="auto" >Automating HR processes</font></font></li> <li><font dir="auto" ><font dir="auto" >Identify trends, propose predictive analyses</font></font></li> <li><font dir="auto" ><font dir="auto" >Supporting HR teams in interpreting data and making decisions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in HR digital transformation projects (implementation of tools, data migration, improvement of reference data).</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensuring the quality, confidentiality and security of processed HR data</font></font></li> </ul> </div> </div> <div> <div> <u> <b><font dir="auto" ><font dir="auto" >Search Profile</font></font></b> </u>
</div> <div> <p><font dir="auto" ><font dir="auto" >A Master's degree (Bac+5) in Mathematics or Statistics with initial experience in data analysis.</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Excellent mastery of computer tools and language;</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in development languages (Python);</font></font></li> <li><font dir="auto" ><font dir="auto" >Ap tences in AI;</font></font></li> <li><font dir="auto" ><font dir="auto" >Good command of data analysis techniques and statistical methodologies;</font></font></li> <li><font dir="auto" ><font dir="auto" >Good level of English;</font></font></li> <li><font dir="auto" ><font dir="auto" >Organization, rigor and ease in writing.</font></font></li> </ul> </div> </div> </div></div></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >In this role, your main responsibilities will be: - Ensuring the integrity of master data in Stellantis' key systems - Ensuring that all pending master data update requests are directed to the correct contact - Maintaining OBT master data processes to support data quality - Developing and documenting processes with other functional data leads to support ongoing maintenance and data integrity - Providing support for resolving data quality issues - Being responsible for updating master data training materials - Promoting the continuous improvement of the master data troubleshooting process - Participating remotely in the war room for different markets to gather troubleshooting feedback - Assisting and training on the application and implementation of Data ownership standards and guidelines procedures - Ensure OBT troubleshooting is followed up by SP and Stellantis operations - Update Power BI data analysis with the help of the IT team if necessary</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Degree: Master's (Bac+5) Experience: 1-3 years Skills: IT skills to work independently on IT systems Basic knowledge of logistics Ability to work with complex datasets in an environment with integrated and external systems Proficiency in Microsoft Office Strong problem-solving skills Ability to work with a variety of systems Ability to meet deadlines, prioritize workload, and achieve effective results in a dynamic and changing environment Data collection and processing KPI analysis and reporting Eliade Eole Excel OBT Power BI End-to-end outbound processes PO/Rate ticket management Coordination with stakeholders</font></font></p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <p><font dir="auto" ><font dir="auto" >As a Java Kafka Data Engineer, your main responsibilities will be as follows:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and maintain solutions for processing and managing large datasets on distributed architectures.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the implementation of data pipelines using Kafka for real-time data integration and distribution.</font></font></li> <li><font dir="auto" ><font dir="auto" >Develop Java applications for streaming and batch data processing.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the implementation of processes for optimizing and automating data flows.</font></font></li> <li><font dir="auto" ><font dir="auto" >To guarantee the quality, performance and scalability of applications by producing reliable and efficient code.</font></font></li> <li><font dir="auto" ><font dir="auto" >Working closely with the Data and DevOps teams to design suitable architectures and optimize system performance.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the evolution of the data infrastructure by providing continuous improvements and integrating new technologies.</font></font></li> <li><font dir="auto" ><font dir="auto" >Provide support and resolution of technical incidents in production related to data processing.</font></font></li> <li><font dir="auto" ><font dir="auto" >Write the technical documentation and specifications for the solutions implemented.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >Required skills:</font></font></strong> </p> <p> <strong>Comp tences techniques :</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Mastery of the Java language and best development practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid experience with Kafka (topic management, producers, consumers, Kafka Streams, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of distributed data architecture concepts.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with data processing frameworks (e.g., Apache Spark, Flink, etc.) is a plus.</font></font></li> <li>Ma trise des bases de donn es SQL et NoSQL (ex : PostgreSQL, MongoDB, Cassandra, etc.).</li> <li><font dir="auto" ><font dir="auto" >Knowledge of continuous integration tools and DevOps practices (Docker, Kubernetes, CI/CD).</font></font></li> <li><font dir="auto" ><font dir="auto" >Good understanding of distributed systems and the challenges of scalability and high availability.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of big data and cloud computing (AWS, GCP, Azure) would be a plus.</font></font></li> </ul> <p> <strong>Comp tences non techniques :</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Ability to work in a team and collaborate with different technical profiles (data scientists, devops, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Autonomy and rigor in the management of tasks and projects.</font></font></li> <li><font dir="auto" ><font dir="auto" >Good analytical skills and ability to solve complex problems.</font></font></li> <li><font dir="auto" ><font dir="auto" >A sense of innovation and curiosity for new technologies.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent communication.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong><font dir="auto" ><font dir="auto" >Search profile:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >You have a degree from an engineering school or a university degree in computer science, with a specialization in data technologies.</font></font></li> <li><font dir="auto" ><font dir="auto" >You have significant experience with a minimum of 3-5 years in Java development and data flow management systems, ideally with Kafka.</font></font></li> <li><font dir="auto" ><font dir="auto" >You have already worked in large-scale production environments and are comfortable with performance and scalability issues.</font></font></li></ul></div><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p><font dir="auto" ><font dir="auto" >We are looking for a GCP (Google Cloud Platform) Data Engineer to join our rapidly growing team.</font></font></p> <p><font dir="auto" ><font dir="auto" >In this key role, you will be responsible for the management, optimization and implementation of data solutions on GCP, thus contributing to strategic digital transformation projects.</font></font></p> <p><font dir="auto" ><font dir="auto" >You will work closely with architects, data scientists and development teams to build scalable, secure and high-performance data architectures.</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Your responsibilities:</font></font></strong> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Design and deployment of cloud solutions</font></font></strong><font dir="auto" ><font dir="auto" > : Design, deploy and maintain robust data solutions on Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.).</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data pipeline management</font></font></strong><font dir="auto" ><font dir="auto" > : Setting up and automating data integration, processing and transformation pipelines using GCP tools and associated technologies.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Performance optimization</font></font></strong><font dir="auto" ><font dir="auto" > : Ensuring the performance, scalability and security of data infrastructures on GCP.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Collaboration and support</font></font></strong><font dir="auto" ><font dir="auto" > : Work closely with internal teams to understand business needs and provide tailored data solutions. Provide technical support to development and data science teams.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Technology watch</font></font></strong><font dir="auto" ><font dir="auto" > : Keeping informed of the latest trends and innovations on Google Cloud, particularly in the field of data management and machine learning.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data quality management</font></font></strong><font dir="auto" ><font dir="auto" > : Implement processes to ensure data quality, integrity, and security within the GCP infrastructure.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Automation and infrastructure as code</font></font></strong><font dir="auto" ><font dir="auto" > : Use tools like Terraform, Cloud Deployment Manager to automate the management of GCP infrastructure.</font></font></li> </ul> <p> </p></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><font dir="auto" ><font dir="auto" >Qualifications </font></font></p><div> <p> </p> <ul> <li><font dir="auto" ><font dir="auto" >Knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >GCP</font></font></strong><font dir="auto" ><font dir="auto" > (Google Cloud Platform) technologies such as BigQuery, Dataflow, Cloud Storage, Cloud Functions, etc.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Proven skill in </font></font><strong><font dir="auto" ><font dir="auto" >Python</font></font></strong><font dir="auto" ><font dir="auto" > for developing data pipelines, analyzing and manipulating data.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Experience with data visualization tools such as Looker, for creating dashboards and reports.</font></font></li> </ul> <ul> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >In-depth knowledge of SQL</font></font></strong><font dir="auto" ><font dir="auto" > concepts </font><font dir="auto" >and their practical implementation.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Ability to work with large volumes of data and optimize query performance.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Understanding of distributed data architectures and real-time data processing concepts.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Excellent written and oral </font></font><strong><font dir="auto" ><font dir="auto" >communication</font></font></strong><font dir="auto" ><font dir="auto" > : Ability to produce high-quality deliverables and reports.</font></font></li> </ul> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Analytical mindset</font></font></strong><font dir="auto" ><font dir="auto" > and continuous improvement: Ability to evaluate code and its impacts, as well as to question existing solutions in order to improve them.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Ability to </font></font><strong><font dir="auto" ><font dir="auto" >step back and reflect</font></font></strong><font dir="auto" ><font dir="auto" > : The ability to evaluate problems objectively and propose solutions for improvement.</font></font></li> </ul> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Team spirit</font></font></strong><font dir="auto" ><font dir="auto" > : Ability to collaborate effectively with team members to achieve common goals.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >My understanding of Agilit concepts ( </font></font><strong><font dir="auto" ><font dir="auto" >Scrum</font></font></strong><font dir="auto" ><font dir="auto" > , Sprint Planning, Backlog).</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Keen attention to detail and rigor in the design and implementation of data solutions.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >PROFILE SOUGHT:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >A Master's degree (Bac+5) from an engineering school or equivalent university qualification with a specialization in computer science, or equivalent significant experience.</font></font></li> </ul> <ul> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >Over 7 years</font></font></strong><font dir="auto" ><font dir="auto" > of experience </font><font dir="auto" >in </font></font><strong><font dir="auto" ><font dir="auto" >GCP</font></font></strong> </li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Experience in the retail or mass distribution sector would be an asset.</font></font></li></ul></div><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <p><font dir="auto" ><font dir="auto" >In this key role, you will be responsible for designing and implementing BI, Analytics, and Big Data solutions. You will provide valuable and timely data analytics and solutions to the business, verifying requirements, defining the architecture, and developing an implementation plan. You will also be responsible for designing solutions that meet business needs and exceed client expectations. </font></font><br>
<br>
<strong><font dir="auto" ><font dir="auto" >Responsibilities and tasks:</font></font></strong> <br>
<br><font dir="auto" ><font dir="auto" >
As a technical lead:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Collaborating with the business solutions manager to implement data strategies and design data flows.</font></font></li> <li><font dir="auto" ><font dir="auto" >To serve as a reference in development and ensure consistency with existing assets and data architectures.</font></font></li> <li><font dir="auto" ><font dir="auto" >Perform complex data analyses and clearly communicate the procedure to follow.</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >You are responsible for development:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Provide other team members with clear updates on the progress of development, unit testing, and documentation of developed data pipelines.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the quality of the developed code and compliance with guidelines.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with Azure-based data solution architectures, the software development lifecycle (including Agile & Waterfall), data engineering and ETL tools/platforms, and data modeling practices.</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >You develop and document the standards and methodologies surrounding the data platform, ensuring the security of knowledge and know-how:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Maintain the integration documentation.</font></font></li> <li><font dir="auto" ><font dir="auto" >Provide a critical judgment on the effectiveness of the data model based on your experience and best practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure that validation processes are followed.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li> <strong><font dir="auto" ><font dir="auto" >A minimum of </font></font></strong> <strong><font dir="auto" ><font dir="auto" >5 years of experience</font></font></strong><font dir="auto" ><font dir="auto" > in managing and implementing data projects.</font></font></li> <li><font dir="auto" ><font dir="auto" >But sad advance and of the </font></font><strong><font dir="auto" ><font dir="auto" >Azure</font></font></strong><font dir="auto" ><font dir="auto" > platform .</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent mastery of </font></font><strong><font dir="auto" ><font dir="auto" >PL/SQL</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Extensive expertise in </font></font><strong><font dir="auto" ><font dir="auto" >Data Analytics</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >bug analysis</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Advanced knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >Snowflake</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Basic knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >Power BI</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Advanced mastery with </font></font><strong><font dir="auto" ><font dir="auto" >Azure DevOps</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Good level in French and English</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li></ul></div><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p> <strong><font dir="auto" ><font dir="auto" >Job Description</font></font></strong> </p> <p><font dir="auto" ><font dir="auto" >We are looking for a Snowflake Data Engineer to join our Data Engineering team. Your responsibilities will include the design, implementation, and optimization of data management solutions on the Snowflake platform, in collaboration with technical and business teams.</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Main missions</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Design, deploy and maintain data architectures on Snowflake.</font></font></li> <li><font dir="auto" ><font dir="auto" >Working on integrating data from different sources (databases, APIs, files, etc.) into Snowflake.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensuring the performance and optimization of SQL queries in a Snowflake environment.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure data quality and the implementation of good data governance practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Set up and automate ETL/ELT processes with Snowflake.</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating with Data Science, Business Intelligence teams and other stakeholders to define data requirements.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the implementation of monitoring and alerting solutions to ensure data availability and quality.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the management of large and complex data while optimizing the costs of using Snowflake.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong><font dir="auto" ><font dir="auto" >Search profile</font></font></strong> </p> <p> <strong>Comp tences techniques</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Mastery of Snowflake (architecture, data sharing, performance, security).</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong skills in SQL (T-SQL, PL/SQL, etc.) and query optimization.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with data integration tools such as Fivetran, Talend, or Apache NiFi.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience in managing ETL/ELT pipelines on cloud platforms.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of Python or other languages for automation and data integration.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with Cloud environments (AWS, Azure, GCP) and associated services (S3, Redshift, BigQuery, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with Business Intelligence tools (Power BI, Tableau, Looker) is a plus.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >Behavioral skills</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Autonomy and ability to work independently.</font></font></li> <li><font dir="auto" ><font dir="auto" >Good communication skills and collaborative spirit.</font></font></li> <li><font dir="auto" ><font dir="auto" >Rigour and attention to detail in data and process management.</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong ability to solve complex problems and innovate in systems optimization.</font></font></li> <li><font dir="auto" ><font dir="auto" >Adaptability and curiosity to learn new technologies and best practices in the sector.</font></font></li> </ul> <p> <strong>Qualifications</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Master's degree (Bac +5) in computer science, data engineering, or a similar field.</font></font></li> <li><font dir="auto" ><font dir="auto" >Minimum of 3 years of experience in a similar position, with specific experience on Snowflake.</font></font></li> <li><font dir="auto" ><font dir="auto" >Snowflake certification (desired).</font></font></li></ul></div><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
</p><br><br>
<br> Job : <p><strong>In this role, your main tasks will be as follows:</strong></p><br><br><p><br>- Ensure the integrity of master data in Stellantis' key systems<br>- Ensure that all pending master data update requests are directed to the correct contact<br>- Maintain OBT master data processes to support data quality<br>- Develop and document processes with other functional data managers to support ongoing maintenance and data integrity<br>- Provide assistance in resolving data quality issues<br>- Be responsible for updating master data training documents<br>- Promote continuous improvement of the master data troubleshooting process<br>- Participate remotely in the "war room" for different markets to gather feedback on troubleshooting<br>- Assist and train on the application and implementation of procedures, standards, and guidelines on data ownership<br>- Ensure OBT troubleshooting is followed up by SP and Stellantis operations<br>- Update PowerBi data analysis with the help of the IT team if necessary</p><br><br> <br> Required profile : <p><strong>Degree:</strong> Master's degree (Bac+5)</p><br><br><p><strong>Experience:</strong> 1 to 3 years</p><br><br><p><strong>Skills:</strong></p><br><br><p><strong>IT skills to work independently on IT systems<br>Basic knowledge of logistics<br>Ability to work with complex datasets in an environment with integrated and external systems<br>Use of Microsoft Office</strong></p><br><br><p><strong>Strong problem-solving ability<br>Ability to work with a variety of systems<br>Ability to meet deadlines, prioritize workload, and achieve effective results in a dynamic and changing environment</strong></p><br><br><p>• Data collection and processing<br>• KPI analysis and reporting<br>• Eliade<br>• Eole<br>• Excel<br>• OBT<br>• Power BI<br>• End-to-end outbound process<br>• PO/Rate ticket management<br>• Stakeholder coordination</p><br><br><br> <br><br> </div>