وظائف مدخل بيانات في المغرب

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><b>GEC recrute | Data Analyst Senior | Power BI</b><br></p><br><p>Dans le cadre d'une mission stratégique pour le compte de son client dans le retail, <b>GEC – Global Experts Consulting</b> recherche un <b>Data Analyst Senior</b> passionné par la valorisation des données et la Business Intelligence.<br></p><br><p><b>Vos principales missions :</b><br></p><br><p>Analyser, explorer et valoriser les données afin d'accompagner la prise de décision.<br></p><br><p>Concevoir et implémenter des modèles de données performants.<br></p><br><p>Développer des tableaux de bord et des rapports interactifs sous <b>Power BI</b>.<br></p><br><p>Assurer la qualité, la cohérence et la fiabilité des données.<br></p><br><p>Produire des analyses, recommandations et indicateurs Ã&nbsp; forte valeur ajoutée pour les métiers.<br></p><br><p>Collaborer avec les équipes métiers et les squads de la Digital Factory pour comprendre les besoins fonctionnels.<br></p><br><p>Optimiser les performances des rapports et contribuer Ã&nbsp; l'amélioration continue des processus d'analyse.<br></p><br><p>Réaliser une veille technologique autour des solutions Data &amp; BI.<br></p><br><p><b>Profil recherché :</b><br></p><br><p>Bac+5 en école d'ingénieur, université ou école de commerce.<br></p><br><p>Minimum <b>5 ans d'expérience</b> en tant que <b>Data Analyst</b>.<br></p><br><p>Excellente maîtrise de <b>Power BI</b> (Power BI Desktop, Service, DAX, Data Modeling).<br></p><br><p>Solides compétences en modélisation de données, transformation des données et création de tableaux de bord décisionnels.<br></p><br><p>Bonne connaissance des bases de données relationnelles et des techniques de visualisation.<br></p><br><p>Certification <b>Microsoft Power BI</b> fortement appréciée.<br></p><br><p>Français, anglais et arabe.<br></p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>Capgemini</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its practices. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This culture is reinforced by a strong <strong>organizational dimension</strong>, ensuring process rigor, reliability and operational efficiency. It is complemented by a <strong>competitive component</strong> focused on performance and customer satisfaction, while a more moderate <strong>innovation dimension</strong> supports the continuous evolution of services and expertise. </p><br><br> <br> Job : <p>Join an innovative company in the <strong>IT</strong> sector and help shape the future of data as a <strong>Data Engineer GCP</strong> in <strong>Casablanca</strong>. This is a unique opportunity to use your expertise on challenging projects at the heart of Google's cloud ecosystem.</p><br><br><p>As a Data Engineer GCP, you will be responsible for designing, developing, and maintaining data pipelines on the Google Cloud Platform environment. You will work in a data-driven transformation context, in collaboration with Data Science, BI, and IT teams.</p><br><br><p>Your missions include:</p><br><br><p>Design and develop robust and scalable data pipelines (ETL/ELT) on GCP.<br>Implement and maintain data architectures (BigQuery, Dataflow, Pub/Sub, etc.).<br>Ensure data quality, security, and governance.<br>Participate in the industrialization of machine learning models.<br>Collaborate with business teams to understand needs and propose suitable solutions.<br>Document processes and stay updated on GCP tools.</p><br><br><p><br>Required skills</p><br><br><p>Technical:</p><br><br><p>Proficiency in Google Cloud Platform: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Vertex AI.<br>Solid experience in SQL, Python, and orchestration tools (Airflow).<br>Knowledge of Data Lake / Data Warehouse architectures.<br>Experience with CI/CD tools (Cloud Build, GitLab CI, Terraform…).<br>Basic understanding of data security and governance.</p><br><br><p>Functional:</p><br><br><p>Ability to understand business needs and translate them into technical solutions.<br>Good communication and teamwork skills.<br>Analytical mindset, rigor, and autonomy.</p><br><br><p>.</p><br><br> <br> Required profile : <p>To excel in this role, a <strong>higher education level, Bachelor's degree +5 or more</strong>, is required. A degree in <strong>Computer Science</strong> or <strong>Electronics</strong> will be particularly appreciated.</p><br><br><p>With <strong>5 to 10 years of experience</strong> in data or Cloud Architect roles, you have developed solid expertise in managing and processing large volumes of data.</p><br><br><p>Essential skills for success include in-depth mastery of the <strong>Google Cloud Platform (GCP) ecosystem</strong>, particularly services like BigQuery, Dataflow, Dataproc, and Cloud Storage. A strong understanding of data modeling principles, programming languages like Python or Java, and SQL and NoSQL databases is essential. The ability to design and implement complex data pipelines, along with strong problem-solving skills, is also expected. Good communication and teamwork skills complete this profile.</p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>CGI Technologies and Solutions Morocco</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its operations. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This dynamic is reinforced by a structured <strong>organizational culture</strong>, ensuring process rigor, reliability and operational efficiency. It is complemented by an <strong>innovation dimension</strong> that encourages adaptability and initiative, while a more moderate <strong>competitive component</strong> supports a balanced results-driven mindset. </p><br><br> <br> Job : <p>As part of a Data Service Center, we are looking for Data Engineers to design, develop, and maintain data collection on Google Cloud Platform.</p><br><br><p><span><u><strong>Main Responsibilities:</strong></u></span></p><br><br><p>• Develop and evolve batch and streaming data collection pipelines.<br>• Design data ingestion, transformation, and exposure flows on GCP.<br>• Develop Python and SQL processes for populating Data platforms.<br>• Implement and maintain solutions based on BigQuery, Dataflow, Composer (Airflow), Pub/Sub, Cloud Run, and GCS.<br>• Perform impact analyses, testing, production deployments, and support for existing data collections.<br>• Ensure the quality, performance, reliability, and traceability of data.<br>• Work in an Agile/DevOps environment with GitLab CI/CD.<br>&nbsp;<br>&nbsp;</p><br><br> <br> <br> Required profile : <p><span><u><strong>Profile sought:</strong></u></span></p><br><br><p>• 2 to 6 years of experience in Data Engineering<br>• Significant experience with GCP and BigQuery<br>• Good level of communication in French<br> • Ability to work on high-volume and high-criticality data collection topics. </p><br><br><p><span><u><strong>Required skills:</strong></u></span></p><br><br><p>• GCP (BigQuery, Dataflow, Composer, Pub/Sub, Cloud Run, GCS)<br>• Python, SQL<br>• Airflow / job orchestration<br>• Data Engineering, ETL/ELT, data collection<br>• Experience with Kafka, Spark, or Nifi is a plus.</p><br><br><p>CGI is an inclusive employer and attentive to applications from people with disabilities and to the career development of men and women.<br>&nbsp;</p><br><br> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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><h2><font dir="auto" ><font dir="auto" >Qualifications</font></font></h2><p><font dir="auto" ><font dir="auto" >Experience: ~4 years of experience in distributed environments and Big Data architectures.</font></font></p><p><font dir="auto" ><font dir="auto" >Architecture: Strong interest and significant experience in On-Premise infrastructures.</font></font></p><p><font dir="auto" ><font dir="auto" >Spark / PySpark: Essential mastery in Batch and Streaming processing.</font></font></p><p><font dir="auto" ><font dir="auto" >NoSQL: Confirmed experience on Cassandra and/or Hive</font></font></p><p><font dir="auto" ><font dir="auto" >Streaming &amp; Ingestion: Very good mastery of Kafka and NiFi</font></font></p><p><font dir="auto" ><font dir="auto" >Nice-to-have / Bonus:</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Good understanding of the Hadoop/HDFS ecosystem. Mastery of Cloudera 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 &amp; 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 &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >We are looking for a Senior Data &amp; FinOps Engineer to join our Data team. You will be responsible for the design, development, maintenance, and evolution of data solutions that improve visibility into cloud costs, ensure reliable data processing, and support analytics and management needs. You will be involved in the entire data processing lifecycle, from pipeline development to dashboard production, including performance optimization and technical incident resolution. As a technical expert, you will also be expected to contribute to architectural choices, best development practices, and the continuous improvement of data platforms.</font></font></p><p><font dir="auto" ><font dir="auto" >Main missions</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Ensure the maintenance and evolution of Power BI dashboards dedicated to monitoring and analyzing Cloud costs.</font></font></li><li><font dir="auto" ><font dir="auto" >Design, develop and maintain Python applications and scripts for data collection, transformation and integration.</font></font></li><li><font dir="auto" ><font dir="auto" >Design, develop and optimize data pipelines (ETL/ELT) orchestrated with Apache Airflow.</font></font></li><li><font dir="auto" ><font dir="auto" >To guarantee the quality, reliability and performance of data processing.</font></font></li><li><font dir="auto" ><font dir="auto" >Diagnose and resolve incidents related to Python scripts, ETL pipelines, databases, and cloud services.</font></font></li><li><font dir="auto" ><font dir="auto" >Designing high-performance data solutions based on native cloud services.</font></font></li><li><font dir="auto" ><font dir="auto" >Develop and optimize SQL queries and data models under PostgreSQL, particularly in Cloud environments.</font></font></li><li><font dir="auto" ><font dir="auto" >Participate in technical choices, propose architectural improvements and promote good development practices.</font></font></li><li><font dir="auto" ><font dir="auto" >Contribute to FinOps initiatives by providing reliable data on the consumption and costs of Cloud resources.</font></font></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2><font dir="auto" ><font dir="auto" >Qualifications</font></font></h2><ul><li><font dir="auto" ><font dir="auto" >Significant experience as a Data Engineer or in a similar role.</font></font></li><li><font dir="auto" ><font dir="auto" >Excellent mastery of Python development for applications and data processing in a production environment (beyond notebooks).</font></font></li><li><font dir="auto" ><font dir="auto" >Solid experience with the following Python libraries: Pandas, Polars, Matplotlib</font></font></li><li><font dir="auto" ><font dir="auto" >Very good mastery of the design and maintenance of ETL/ELT pipelines.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience confirmed with Apache Airflow.</font></font></li><li><font dir="auto" ><font dir="auto" >Mastery of Power BI for the development, maintenance and optimization of dashboards.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience in diagnosing and debugging Python scripts, data pipelines, and Cloud components.</font></font></li><li><font dir="auto" ><font dir="auto" >Good knowledge of AWS and/or Microsoft Azure platforms.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience with serverless and/or containerized services such as AWS Lambda, AWS ECS or Azure Functions.</font></font></li><li><font dir="auto" ><font dir="auto" >Excellent command of SQL and good knowledge of PostgreSQL, including managed databases in the Cloud and their constraints.</font></font></li><li><font dir="auto" ><font dir="auto" >Good understanding of good software development practices (code quality, testing, version control).</font></font></li></ul><h2><font dir="auto" ><font dir="auto" >Desired qualifications</font></font></h2><ul><li><font dir="auto" ><font dir="auto" >Knowledge of FinOps principles and Cloud cost management.</font></font></li><li><font dir="auto" ><font dir="auto" >Understanding of the pricing models of major Cloud providers and cost optimization strategies.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience with modern Data Cloud architectures.</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of DevOps and CI/CD practices.</font></font></li></ul><h2><font dir="auto" ><font dir="auto" >Behavioral skills</font></font></h2><ul><li><font dir="auto" ><font dir="auto" >Excellent communication skills, both with technical and professional interlocutors.</font></font></li><li><font dir="auto" ><font dir="auto" >Ability to present technical subjects and simplify complex concepts.</font></font></li><li><font dir="auto" ><font dir="auto" >Ability to challenge technical choices and defend reasoned proposals.</font></font></li><li><font dir="auto" ><font dir="auto" >Strong autonomy, sense of responsibility and ability to bring projects to completion.</font></font></li><li><font dir="auto" ><font dir="auto" >Analytical mind, rigor and problem-solving orientation.</font></font></li><li><font dir="auto" ><font dir="auto" >Curiosity and ability to quickly develop expertise in new areas, including FinOps and financial issues related to the Cloud.</font></font></li><li><font dir="auto" ><font dir="auto" >Team spirit and ability to collaborate effectively in a cross-functional environment.</font></font></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><br></p><p>Support the team by centralizing and preparing data to automate controls, detect anomalies, and produce actionable Power BI dashboards.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Studies in audit/finance/management/IT with data interest. Advanced Excel, basic SQL, Power BI (modeling, basic DAX). Analytical, rigorous, confidentiality-aware.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; 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" >Within the Technology Department, the BI/Data team manages and executes Business Intelligence and Data Engineering projects, ensuring the quality, performance and scalability of the solutions.</font></font></p> <p><font dir="auto" ><font dir="auto" >You will play a key role in the design, optimization, and monitoring of our data pipelines. You will contribute your Databricks expertise to improve the architecture, performance, and reliability of our data flows for internal clients.</font></font></p> <p> <strong> <em><font dir="auto" ><font dir="auto" >Main tasks:</font></font></em> </strong> </p> <p><font dir="auto" ><font dir="auto" >As a Databricks expert, you will be involved in the main aspects of designing, optimizing, and developing the data platform:</font></font></p> <ul> <li> <p><font dir="auto" ><font dir="auto" >Design, develop and optimize data processing and transformation pipelines on </font></font><strong><font dir="auto" ><font dir="auto" >Azure Databricks</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >Azure Data Lake</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Define and implement robust and scalable data architectures to support the growth of data volumes.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Implement automated tests and guarantee the quality and reliability of data pipelines.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Participate in the definition and optimization of </font></font><strong><font dir="auto" ><font dir="auto" >CI/CD</font></font></strong><font dir="auto" ><font dir="auto" > pipelines via </font></font><strong><font dir="auto" ><font dir="auto" >Azure DevOps</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Apply best practices in </font></font><strong><font dir="auto" ><font dir="auto" >Data Engineering</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >software engineering</font></font></strong><font dir="auto" ><font dir="auto" > at all stages of development.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Collaborating with Data Product Owners and business teams to propose innovative solutions tailored to needs.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Supervise data processing and ensure monitoring via </font></font><strong><font dir="auto" ><font dir="auto" >Datadog</font></font></strong><font dir="auto" ><font dir="auto" > or equivalent tools.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Identify and implement optimizations to improve performance and reduce costs on Databricks.</font></font></p> </li> </ul> <p> <em> <strong><font dir="auto" ><font dir="auto" >Main technical environment:</font></font></strong> </em> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Languages</font></font></strong><font dir="auto" ><font dir="auto" > : SQL, PySpark, Python, Scala.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Tools &amp; BI</font></font></strong><font dir="auto" ><font dir="auto" > : ​​Power BI, SSIS, SSAS, Business Objects, Datadog, Snyk.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Cloud &amp; Data</font></font></strong><font dir="auto" ><font dir="auto" > : Azure Databricks, Azure Data Factory, ADLS Gen2.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >CI/CD &amp; DevOps</font></font></strong><font dir="auto" ><font dir="auto" > : Git, Azure DevOps.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><font dir="auto" ><font dir="auto" ><b>Qualifications </b></font></font></p><div> <p> <em> <strong><font dir="auto" ><font dir="auto" >Your strengths to make a difference:</font></font></strong> </em> </p> <ul> <li><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) in computer science, engineering or equivalent field.</font></font></li> <li><font dir="auto" ><font dir="auto" >Minimum 5 years of experience in </font></font><strong><font dir="auto" ><font dir="auto" >Data Engineering, Data Architecture or Databricks</font></font></strong><font dir="auto" ><font dir="auto" > , with experience in leading teams or projects.</font></font></li> <li><font dir="auto" ><font dir="auto" >Advanced mastery of several languages: </font></font><strong><font dir="auto" ><font dir="auto" >Python, PySpark, Scala, SQL</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Proven expertise in the </font></font><strong><font dir="auto" ><font dir="auto" >development and optimization of Databricks pipelines</font></font></strong><font dir="auto" ><font dir="auto" > , with the ability to define technical standards and best practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Mastering </font></font><strong><font dir="auto" ><font dir="auto" >Spark UI</font></font></strong><font dir="auto" ><font dir="auto" > to diagnose and improve the performance of complex treatments.</font></font></li> <li><font dir="auto" ><font dir="auto" >Very good knowledge of the </font></font><strong><font dir="auto" ><font dir="auto" >Azure Cloud</font></font></strong><font dir="auto" ><font dir="auto" > ecosystem and its data-oriented services (ADF, ADLS, Databricks).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience in implementing good development practices: </font></font><strong><font dir="auto" ><font dir="auto" >clean code, versioning, unit testing, CI/CD</font></font></strong><font dir="auto" ><font dir="auto" > , and BI modeling principles.</font></font></li> <li><font dir="auto" ><font dir="auto" >Advanced practice of </font></font><strong><font dir="auto" ><font dir="auto" >dbt</font></font></strong><font dir="auto" ><font dir="auto" > or similar frameworks for SQL transformation and data orchestration.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience working in </font></font><strong><font dir="auto" ><font dir="auto" >Agile methodology</font></font></strong><font dir="auto" ><font dir="auto" > , in collaboration with Product Owners, Data and project teams.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Leadership and team spirit</font></font></strong><font dir="auto" ><font dir="auto" > : able to guide and coach team members, make strategic decisions and propose innovative solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to adapt quickly in a constantly evolving technical environment and proactive in suggesting improvements to architecture and processes.</font></font></li></ul></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; 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 &amp; real-time) within distributed environments based on Cloudera.</font></font></p><p><font dir="auto" ><font dir="auto" >Your responsibilities:</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Development &amp; Industrialization</font></font><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></li><li><font dir="auto" ><font dir="auto" >Quality, Performance &amp; Reliability</font></font><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></li><li><font dir="auto" ><font dir="auto" >CI/CD &amp; Governance</font></font><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></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 &amp; 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 not required. Knowledge of Data Science (clustering/customer segmentation models) and Data Visualization tools.</font></font></li><li><font dir="auto" ><font dir="auto" >Tools &amp; 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 &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description: As a GCP Data Engineer, you will report to the data management team and will be responsible for: Managing the evolutionary and corrective maintenance of the various technical modules that operate the project's data platform. Integrating external data such as files, web service calls, or TOPIC consumption (WebMethod Universal Messenger and Kafka). Configurations on Terraform. SFTP server. IAM security. Management of a specific HTML/Java portal. ELT/KPI data pipeline via SQL. Managing the platform's runtime: Monitoring daily processes and resolving anomalies. Performance monitoring. Managing the obsolescence of the technologies used. Technology watch and roadmap tracking.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Education: Master's degree (Bac+5) in Computer Science or equivalent field. You have at least 3 years of experience as a Data Engineer on Google Cloud Platform. You must be able to integrate well into an Agile team, demonstrating strong listening, communication, and cooperation skills. You must possess analytical and synthesis skills, as well as excellent writing skills. Knowledge of the retail environment (sales/merchandising back office/supply chain back office/marketing) is preferred.</font></font></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >We are looking for a Senior Data &amp; FinOps Engineer to join our Data team. You will be responsible for the design, development, maintenance, and evolution of data solutions that improve visibility into cloud costs, ensure reliable data processing, and support analytics and management needs. You will be involved in the entire data processing lifecycle, from pipeline development to dashboard production, including performance optimization and technical incident resolution. As a technical expert, you will also be expected to contribute to architectural choices, best development practices, and the continuous improvement of data platforms.</font></font></p><p><font dir="auto" ><font dir="auto" >Main missions</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Ensure the maintenance and evolution of Power BI dashboards dedicated to monitoring and analyzing Cloud costs.</font></font></li><li><font dir="auto" ><font dir="auto" >Design, develop and maintain Python applications and scripts for data collection, transformation and integration.</font></font></li><li><font dir="auto" ><font dir="auto" >Design, develop and optimize data pipelines (ETL/ELT) orchestrated with Apache Airflow.</font></font></li><li><font dir="auto" ><font dir="auto" >To guarantee the quality, reliability and performance of data processing.</font></font></li><li><font dir="auto" ><font dir="auto" >Diagnose and resolve incidents related to Python scripts, ETL pipelines, databases, and cloud services.</font></font></li><li><font dir="auto" ><font dir="auto" >Designing high-performance data solutions based on native cloud services.</font></font></li><li><font dir="auto" ><font dir="auto" >Develop and optimize SQL queries and data models under PostgreSQL, particularly in Cloud environments.</font></font></li><li><font dir="auto" ><font dir="auto" >Participate in technical choices, propose architectural improvements and promote good development practices.</font></font></li><li><font dir="auto" ><font dir="auto" >Contribute to FinOps initiatives by providing reliable data on the consumption and costs of Cloud resources.</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" >Significant experience as a Data Engineer or in a similar role.</font></font></li><li><font dir="auto" ><font dir="auto" >Excellent mastery of Python development for applications and data processing in a production environment (beyond notebooks).</font></font></li><li><font dir="auto" ><font dir="auto" >Solid experience with the following Python libraries: Pandas, Polars, Matplotlib</font></font></li><li><font dir="auto" ><font dir="auto" >Very good mastery of the design and maintenance of ETL/ELT pipelines.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience confirmed with Apache Airflow.</font></font></li><li><font dir="auto" ><font dir="auto" >Mastery of Power BI for the development, maintenance and optimization of dashboards.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience in diagnosing and debugging Python scripts, data pipelines, and Cloud components.</font></font></li><li><font dir="auto" ><font dir="auto" >Good knowledge of AWS and/or Microsoft Azure platforms.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience with serverless and/or containerized services such as AWS Lambda, AWS ECS or Azure Functions.</font></font></li><li><font dir="auto" ><font dir="auto" >Excellent command of SQL and good knowledge of PostgreSQL, including managed databases in the Cloud and their constraints.</font></font></li><li><font dir="auto" ><font dir="auto" >Good understanding of good software development practices (code quality, testing, version control).</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of FinOps principles and Cloud cost management.</font></font></li><li><font dir="auto" ><font dir="auto" >Understanding of the pricing models of major Cloud providers and cost optimization strategies.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience with modern Data Cloud architectures.</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of DevOps and CI/CD practices.</font></font></li><li><font dir="auto" ><font dir="auto" >Excellent communication skills, both with technical and professional interlocutors.</font></font></li><li><font dir="auto" ><font dir="auto" >Ability to present technical subjects and simplify complex concepts.</font></font></li><li><font dir="auto" ><font dir="auto" >Ability to challenge technical choices and defend reasoned proposals.</font></font></li><li><font dir="auto" ><font dir="auto" >Strong autonomy, sense of responsibility and ability to bring projects to completion.</font></font></li><li><font dir="auto" ><font dir="auto" >Analytical mind, rigor and problem-solving orientation.</font></font></li><li><font dir="auto" ><font dir="auto" >Curiosity and ability to quickly develop expertise in new areas, including FinOps and financial issues related to the Cloud.</font></font></li><li><font dir="auto" ><font dir="auto" >Team spirit and ability to collaborate effectively in a cross-functional environment.</font></font></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">Job Description <div> <p> <strong>Key Responsibilities:</strong> </p> <p>As a Data Analyst you will: </p> <p>- Receive and develop briefs from your Client Lead and work collaboratively to ensure work of the highest quality </p> <p>- Maintain analytics data views for accurate reporting and insights capability </p> <p>- Maintain and update stored procedures </p> <p>- Combine internal data with other data sources to provide a holistic view </p> <p>- Participate in all daily ceremonies and events, raising issues as soon as identified to facilitate delivery </p> <p>- Inspect and adapt your way of working for continuous improvement </p> <p>- Embody an Agile mindset and culture</p> <p>- Provide accurate, insightful and timely analysis to the business to help decision making. </p> <p>- Ability to simplify the complex and generate precise insights then communicate them clearly. </p> <p>- Continually look to improve processes through efficiencies and by applying best practice </p> <p>- Challenge the stakeholders and the business backlogs to focus work around the areas that really matter </p> <p>- Actively add to the Squads backlog with work that would benefit customers </p> <p>- Steer the agenda and be a trusted partner for work </p> <p>- Ability to contribute to an analytics roadmap for continuous insight delivery improvement</p></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong>Here are the key skills &amp; experience requested:</strong> </p> <p>* Strong interpersonal skills so that you can work closely with the Team</p> <p>* Skilled at adapting communication for both technical and non-technical audiences </p> <p>* Able to learn data sources and methodologies quickly and apply technical skills to curate accurate analytics data views </p> <p>* Familiarity with GitHub and quality assurance checking of SQL scripts </p> <p>* Experience in obtaining insight from large data sets and sharing actionable learnings with the wider business </p> <p>* 2 years+ experience in coding complex SQL queries against a large relational customer database, identifying relevant data sources and summarising to provide the insight as identified </p> <p>* Experience in updating SQL stored procedures </p> <p>* Ability to resolve data-related problems </p> <p>* Proficiency in Python and / or R a bonus </p> <p>* Proficiency with data visualization software (e.g. Power BI) a bonus </p> <p>* Good experience of using Excel and MS Office </p> <p>* Skilled at creating engaging, actionable, easy to understand insight </p> <p>* Track record of creating compelling data visualisations </p> <p>* Passion for customer and generally curious </p> <p>* Telecoms-industry experience desirable </p> <p>* Highly numerate with a Degree in Mathematics/Statistics or similar degree with high numerate content </p> <p>* Ability to collaborate and work effectively in a team but also comfortable with owning product backlog items and self-organising to deliver them </p> <p>* Highly organised and able to juggle multiple priorities concurrently </p> <p>* Excellent problem solving skills with a logical approach</p> <p>* Fluent in English</p></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for executing test cases, validating results and managing test data, primarily in remote-capable environments ( SiL , log-based validation, partially HiL support) Structured and disciplined execution mindset Ability to interpret results, not just record them Experience with large test campaigns</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Expertise Execute defined test cases in SiL / remote environments</li><li>Collect and analyze test data and logs</li><li>Identify deviations and prepare structured reports</li><li>Support PR (Problem Report) creation and tracking</li><li>Ensure data quality and completeness</li><li>Interface with automation and test design teams</li><li>Experience in Test execution, Data analysis, log interpretation</li><li>Basic understanding of vehicle systems and ECU behavior</li><li>Experience between 3 - 5 years'</li></ul><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. </p><br><br> <br> Job : <p>Role Summary</p><br><br><p>The Data Governance Engineer will design, implement, and operationalize data governance controls across Microsoft 365 (M365) services including SharePoint Online, OneDrive, Microsoft Teams. The role focuses on ensuring data quality, compliance, lifecycle management, classification, and protection using Microsoft Purview and native M365 capabilities.</p><br><br><p>This position requires deep technical expertise combined with governance framework design, automation, and compliance monitoring.</p><br><br><br><p>Key Responsibilities</p><br><br><p>1. Governance Framework Implementation</p><br><br><p>Design and implement enterprise-wide data governance models for M365<br>Define data classification, retention, and lifecycle policies<br>Establish control frameworks for file duplication, ownership, and metadata consistency<br>Align governance with regulatory standards (GDPR, HIPAA, ISO 27001, etc.)</p><br><br><p><br>2. Microsoft Purview &amp; Compliance Controls</p><br><br><p>Configure and manage:<br>Sensitivity Labels<br>Retention Labels &amp; Policies<br>Data Loss Prevention (DLP) Policies<br>Records Management<br>Information Barriers (if applicable)<br>Develop auto-labeling policies based on content inspection<br>Enable audit logs, eDiscovery, and insider risk management</p><br><br><p><br>3. Data Lifecycle &amp; Quality Management</p><br><br><p>Implement controls for:<br>Duplicate file detection &amp; remediation<br>Content sprawl reduction<br>Versioning and archival strategies<br>Define data ownership and stewardship models<br>Establish data quality rules and monitoring mechanisms</p><br><br><p><br>4. Automation &amp; Remediation</p><br><br><p>Develop Power Automate workflows for:<br>Metadata enforcement<br>File lifecycle actions (archival, deletion, labeling)<br>Use PowerShell / Graph API for:<br>Bulk enforcement of policies<br>Compliance validation<br>Reporting and remediation<br>Automate exception handling and governance violations</p><br><br><p><br>5. Monitoring, Reporting &amp; Auditing</p><br><br><p>Build and maintain governance dashboards using Power BI<br>Monitor compliance using:<br>Microsoft Purview Compliance Portal<br>Audit Logs<br>Define KPIs such as:<br>% labeled content<br>Data retention compliance<br>Duplicate file reduction rate<br>Provide audit-ready reports for internal and external stakeholders</p><br><br><p><br>6. Collaboration &amp; Operating Model</p><br><br><p>Work closely with:<br>Security &amp; Compliance teams<br>M365 administrators<br>Business data owners<br>Define RACI matrix for governance activities<br>Participate in governance councils and steering committees</p><br><br> <br> <br> Required profile : <p>Required Skills &amp; Experience</p><br><br><p>Technical Skills</p><br><br><p>Strong experience in:<br>Microsoft 365 (SharePoint, Teams, OneDrive, Exchange)<br>Microsoft Purview (Compliance &amp; Data Governance)<br>Hands-on expertise in:<br>Sensitivity &amp; Retention Labels<br>DLP policies<br>Records Management<br>Copilot Readiness<br>Scripting &amp; Automation:<br>PowerShell (mandatory)<br>Microsoft Graph API<br>Power Automate</p><br><br><p><br>Governance &amp; Compliance</p><br><br><p>Experience building:<br>Data governance frameworks<br>Data classification and lifecycle models<br>Knowledge of:<br>Regulatory requirements (GDPR, etc.)<br>Enterprise information management best practices</p><br><br><p><br>Analytics &amp; Reporting</p><br><br><p>Power BI or similar tools for compliance dashboards<br>Data analysis for identifying governance gaps</p><br><br><p><br>Preferred Qualifications</p><br><br><p>Microsoft Certifications:<br>SC-400: Information Protection Administrator<br>MS-101 / MS-102<br>Experience with:<br>Large enterprise M365 tenants<br>Migration or M&amp;A scenarios<br>Data estate governance at scale</p><br><br><p><br>Key Deliverables</p><br><br><p>Enterprise Data Governance Model (M365)<br>Purview Policy Implementation Pack<br>Automation Scripts &amp; Power Automate Flows<br>Compliance Monitoring Dashboards<br>Governance Runbooks &amp; SOPs</p><br><br><p><br>Success Metrics</p><br><br><p>Reduction in duplicate/unmanaged data<br>% of content classified and labeled<br>Compliance adherence rate<br>Reduction in data sprawl across M365 workloads<br>Audit readiness and policy enforcement coverage</p><br><br> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; 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 Data Consultant, you will join a Scrum team and focus on a specific functional area. Your role will be to contribute to data projects by providing your expertise on the following tasks: </font></font><br> <br><font dir="auto" ><font dir="auto" > Participate in the execution of all business projects; </font></font><br><font dir="auto" ><font dir="auto" > Handle correction requests arising from incidents or anomalies; </font></font><br><font dir="auto" ><font dir="auto" > Participate in the self-training and skills development of the development team; Apply best practices and development standards; </font></font><br><font dir="auto" ><font dir="auto" > Implement DevOps methodologies; </font></font><br><font dir="auto" ><font dir="auto" > Contribute to usage estimates and release planning; </font></font><br><font dir="auto" ><font dir="auto" > Contribute to delivery automation </font></font><br><font dir="auto" ><font dir="auto" > ; Develop and document your code; </font></font><br><font dir="auto" ><font dir="auto" > Work within a Scrum team (Product Owner, Developers, QA, Support).</font></font></p></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" > Experience in distributed systems architecture, Big Data, </font></font><br><font dir="auto" ><font dir="auto" > Scala/Java (experience in one of the two languages ​​is required), </font></font><br><font dir="auto" ><font dir="auto" > Big Data ecosystem (Hadoop, Spark, Apache Kafka, Avro...), </font></font><br><font dir="auto" ><font dir="auto" > Proficiency in CI/CD and deployment and orchestration tools (Jenkins, GitLab, Kubernetes, Docker, Ansible), </font></font><br><font dir="auto" ><font dir="auto" > Fundamental concepts of Kafka, </font></font><br><font dir="auto" ><font dir="auto" > NoSQL databases (Cassandra, BigTable), </font></font><br><font dir="auto" ><font dir="auto" > Search engines (Elastic Search...)</font></font></p></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <p><font dir="auto" ><font dir="auto" >Within a team composed of data scientists and data engineers organized in Scrum Agile mode, you will work to implement forecasting calculation tools (forecasting store needs for warehouse supply, forecasting warehouse load, etc.).</font></font></p> <p><font dir="auto" ><font dir="auto" >In this context, you will be amenable to:</font></font></p> <p><font dir="auto" ><font dir="auto" > Structure, plan and coordinate the team's work, actively collaborating with data scientists, the lead data scientist, data analysts, the product owner, third-party teams and other technical teams.</font></font></p> <p><font dir="auto" ><font dir="auto" > align the construction of analytical and technical solutions with business and industry challenges</font></font></p> <p><font dir="auto" ><font dir="auto" > to advise, guide, and ensure the skills development of the various engineers on the team</font></font></p> <p><font dir="auto" ><font dir="auto" > to be responsible for the team's data science and software development methodologies (facilitating in particular the qualification of sub-projects, iterative developments, the industrialization of solutions, their maintainability, the measurement and monitoring of their performance)</font></font></p> <p><font dir="auto" ><font dir="auto" > to arbitrate technical debates if necessary</font></font></p> <p><font dir="auto" ><font dir="auto" > to remain attentive to new developments, in order to be able to challenge them and propose solutions if needed</font></font></p> <p><font dir="auto" ><font dir="auto" > contribute to the topics as data scientists</font></font></p></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p><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></p> <p> Exp rience de plus de 7 ans en SQL / BigQuery, Python, GCP, Git, DBT </p></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The consultant will be responsible for: Designing and developing optimized data pipelines (ingestion, processing, modeling, valorization). Mastering and using DBT for data transformation and orchestration. Exploiting BigQuery and advanced SQL on large volumes of data. Implementing semantic layers with Looker / LookML. Modeling data ensuring the quality, reliability, and consistency of analyses. Managing real-time flows with Pub/Sub (nice to have). Automating data workflows via GitLab CI/CD and Docker Compose. Versioning code with Git. Collaborating in an agile Scrum environment. Clearly communicating with business and technical teams in French. Analyzing situations and proposing appropriate solutions by identifying areas for improvement. 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><h2>Qualifications</h2><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: 3 to 7 years of experience in Data Engineering DBT / SQL.</p><p>Bac+5 training (engineering school or university) oriented towards IT or equivalent experience.</p><h2>Required Skills:</h2><ul><li>Must have: DBT, GCP, BigQuery, advanced SQL, Looker / LookML, data modeling</li><li>Nice to have: Pub/Sub, GitLab CI/CD, Docker Compose, Git, Scrum / Agile</li></ul><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>The consultant will be responsible for:</p><br><br><ul><li>Gathering, analyzing, and formalizing business needs for reporting, steering, and data analysis.</li><li>Designing, developing, and maintaining dashboards and analytical reports.</li><li>Using BigQuery to produce reliable, structured, and actionable analyses.</li><li>Understanding and using data from BigTable in a GCP environment focused on volume / near real-time data.</li><li>Producing ad hoc analyses to support business teams in decision-making.</li><li>Defining, tracking, and ensuring the reliability of KPIs.</li><li>Ensuring the quality, consistency, and availability of data used in reports.</li><li>Collaborating with Data / Product / Business teams to transform business needs into decision-making indicators.</li></ul> <br> <br> Required profile : <p>Graduated with a Master's degree (Bac+5) from an engineering school or equivalent university with a specialization in IT, or with equivalent significant experience.</p><br><br><p><u><strong>Experience</strong></u>: 3 to 7 years in data analysis, reporting, visualization, and performance management.</p><br><br><ul><li>Solid experience in SQL, BigQuery, and Data Visualization tools.</li><li>Good understanding of complex data environments on GCP, including BigTable.</li><li>Experience in the retail / mass distribution sector is a plus.</li></ul><p><strong><u>Required Skills:</u></strong></p><br><br><ul><li>Advanced proficiency in SQL for data exploration, transformation, and analysis.</li><li>Very good command of BigQuery for handling large volumes of data.</li><li>Good understanding of BigTable and its role in the data ecosystem, especially for processing data from large or near real-time sources.</li><li>Proven experience with a Data Visualization tool (Looker Studio, Power BI, Tableau…).</li><li>Good understanding of data modeling issues and KPI construction.</li><li>Experience in business analysis, needs gathering, and functional formalization.</li><li>Ability to produce clear, reliable, and decision-oriented dashboards.</li><li>Good understanding of data quality and governance issues.</li><li>Proficiency in Excel / Google Sheets for complementary analyses.</li><li>Good knowledge of the GCP ecosystem.</li><li>Knowledge of dbt (a plus).</li><li>Knowledge of Agile methodologies (Scrum, backlog, sprint…).</li></ul><p><u><strong>Soft Skills:</strong></u></p><br><br><ul><li>Excellent interpersonal and clear communication skills.</li><li>Analytical mindset and rigor.</li><li>Synthesis skills.</li><li>Business orientation.</li><li>Proactivity and autonomy.</li><li>Team spirit.</li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description As a Senior Data Scientist, you will be responsible for the following tasks: - Development of predictive and prescriptive models: Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized recommendation engines (collaborative filters, content-based filters, hybrid systems) to improve cross-selling and upselling. Develop Prediction models (churn, propensity, risk scoring, transaction volume forecasting). - Data and model engineering: Collaborate with Data Engineers to define features and prepare the necessary training pipelines from the Data Lakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, and performance monitoring in production (drift, bias). - Business value creation: Translate business needs (e.g., reduce churn, increase conversion rate) into Data Science problems. Interpret model results and communicate insights to Product Owners and business stakeholders. Contribute to enriching source systems and the Data Lakehouse with predictive data.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Education: Master's degree (Bac+5) in Engineering with a specialization in Data Science, Artificial Intelligence, or Applied Statistics/Mathematics. Experience: 3-5 years of proven experience on similar predictive modeling and recommendation systems projects. Technical Skills: Mastery of Machine Learning: Classic algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable). AI Frameworks: Mastery of Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow, or PyTorch). Big Data &amp; Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB). Ops &amp; CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps). Technological ecosystem: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak. Methodology: Agile working methodologies (Scrum of Scrums, weekly progress meetings). Collaboration: Multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Subject Matter Experts).</font></font></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for executing test cases, validating results and managing test data, primarily in remote-capable environments ( SiL , log-based validation, partially HiL support) Structured and disciplined execution mindset Ability to interpret results, not just record them Experience with large test campaigns</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>EXPERTISE Execute defined test cases in SiL / remote environments</li><li>Collect and analyze test data and logs</li><li>Identify deviations and prepare structured reports</li><li>Support PR (Problem Report) creation and tracking</li><li>Ensure data quality and completeness</li><li>Interface with automation and test design teams</li><li>Experience in Test execution, Data analysis, log interpretation</li><li>Basic understanding of vehicle systems and ECU behavior</li><li>Experience between 3 - 5 years'</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p>AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;www.abbvie.com. Follow @abbvie on&nbsp;X,&nbsp;Facebook,&nbsp;Instagram,&nbsp;YouTube,&nbsp;LinkedIn&nbsp;and&nbsp;Tik Tok.</p><br><br>Job Description<br><br><p>Senior Data Security Engineer (Insider Risk Management – Engineering), AbbVie Inc., Cambridge, MA; Hybrid (onsite 3 days a week/ 2 days WFH/remote).</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Create new DLP content to aid in protection of company IP.</li><li>Configure preventative controls for email, print, web &amp; removable media data movement actions.</li><li>Analyze DLP events &amp; escalations to customize &amp; improve existing use cases.</li><li>Implement dashboards, metrics &amp; reports associated with data loss actions identified.</li><li>Focus on implementation of data at rest solution to identify unprotected unstructured data within corporate ecosystem.</li></ul><br>Qualifications<br><br><p><strong>Education &amp; Experience</strong></p><br><p>Must possess a Bachelor’s Degree in Information Security, Cyber Security or related degree &amp; 5 years managing &amp; supporting networking concepts, data loss technologies &amp; enterprise engineering related to security solutions</p><br><p>Of work experience required, must have 5 years:</p><br><ol><li>evaluating &amp; (re)configuring data loss utilizing prevention (DLP) tools to implement technology support;</li><li>administrating &amp; managing data classification, DLP policy creation configuration within a global organization, working across multiple geographic regions;</li><li>integrating technology solutions &amp; ensuring continuous data ingestion for security event correlation using Splunk;</li><li>troubleshooting use cases &amp; policy events to ensure accuracy &amp; integrity of the data being presented to support lines of business; &amp;</li><li>performing insider risk data mapping, including identification &amp; remediation of critical asset data within our cloud &amp; network storage locations.</li></ol><p>Alternatively, would accept a Master's in Information Security, Cyber Security or related degree &amp; 6 months managing &amp; supporting networking concepts, data loss technologies &amp; enterprise engineering related to security solutions.</p><br><p>Of work experience required, must have 6 months:</p><br><ol><li>evaluating &amp; (re)configuring data loss utilizing prevention (DLP) tools to implement technology support;</li><li>administrating &amp; managing data classification, DLP policy creation configuration within a global organization, working across multiple geographic regions;</li><li>integrating technology solutions &amp; ensuring continuous data ingestion for security event correlation using Splunk;</li><li>troubleshooting use cases &amp; policy events to ensure accuracy &amp; integrity of the data being presented to support lines of business; &amp;</li><li>performing insider risk data mapping, including identification &amp; remediation of critical asset data within our cloud &amp; network storage locations.</li></ol><p>Work experience may be gained concurrently. Would accept reasonable combination of work, education and training.</p><br><br>Additional Information<br><br><p>Salary Range: $154,586.00 - $162,000.00 per year.</p><br><p>Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. Refer to Req ID:&nbsp;REF49862K</p><br><p>----------------------------------------------------------------------------</p><br><p>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs.</p><br><p>AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.</p><br><p>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.&nbsp;</p><br><p>US &amp; Puerto Rico only - to learn more, visit&nbsp;https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:</p><br><p>https://www.abbvie.com/join-us/reasonable-accommodations.html</p><br> </div>