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<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" >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 & 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 passionate and experienced Tableau Developer to join our Business Intelligence team. You will be responsible for creating, developing, and optimizing interactive dashboards and reports using Tableau to help business teams make decisions based on reliable and relevant data. As a key member of our team, you will contribute to the evolution of our data platform, working with data analysts, data scientists, and project managers.</font></font></p> <p> <strong>Missions :</strong> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Dashboard design and development</font></font></strong><font dir="auto" ><font dir="auto" > : Design and develop interactive dashboards, reports and impactful visualizations using Tableau, tailored to the needs of business users.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Needs analysis</font></font></strong><font dir="auto" ><font dir="auto" > : Collaborate with business teams to understand their reporting and data visualization needs, and translate these needs into effective Tableau solutions.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Performance optimization</font></font></strong><font dir="auto" ><font dir="auto" > : Optimize the performance of dashboards, calculations, and data sources to ensure a smooth user experience.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data source management</font></font></strong><font dir="auto" ><font dir="auto" > : Prepare and integrate data from different sources (databases, APIs, Excel files, etc.) to make it accessible and usable in Tableau.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Automation and data flow management</font></font></strong><font dir="auto" ><font dir="auto" > : Implement automation for data updates and ensure report consistency.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Support and training</font></font></strong><font dir="auto" ><font dir="auto" > : Provide technical support to end users, provide training on the use of Tableau dashboards and resolve technical problems encountered.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Technology watch</font></font></strong><font dir="auto" ><font dir="auto" > : Stay informed about new features and best practices related to Tableau, and propose continuous improvements to the platform.</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> <strong><font dir="auto" ><font dir="auto" >Education</font></font></strong><font dir="auto" ><font dir="auto" > : Bac +5 in computer science, Data Science, Business Intelligence or equivalent field.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Experience</font></font></strong><font dir="auto" ><font dir="auto" > : Minimum 3 years of experience in developing data visualizations and reports using Tableau.</font></font></li> <li> <strong>Comp tences techniques</strong> :<ul> <li><font dir="auto" ><font dir="auto" >Proficiency in Tableau Desktop and Tableau Server (creating visualizations, calculations, filters, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with SQL databases and ability to design complex queries to populate Tableau.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of best practices in visualization design and storytelling with data.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with Tableau Prep or other ETL tools is a plus.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of Tableau integrations with external systems (APIs, third-party BI tools).</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in version control with Git or other similar tools is a plus.</font></font></li> </ul> </li> <li> <strong><font dir="auto" ><font dir="auto" >Personal skills</font></font></strong><font dir="auto" ><font dir="auto" > :</font></font><ul> <li><font dir="auto" ><font dir="auto" >Analytical mind and ability to solve complex problems.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent communication skills, both technical and non-technical, to interact with third-party teams.</font></font></li> <li><font dir="auto" ><font dir="auto" >Autonomy, organization and prioritization in a dynamic environment.</font></font></li> <li><font dir="auto" ><font dir="auto" >Attention to detail, creativity and the ability to transform raw data into relevant visual insights.</font></font></li></ul></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 passionate Talend Engineer to join our team.</font></font></p> <p><font dir="auto" ><font dir="auto" >As part of ambitious digital transformation projects, you will be responsible for designing, developing and deploying high-performance data integration solutions.</font></font></p> <p><font dir="auto" ><font dir="auto" >You will work within a dynamic team, collaborating with experts to ensure the success of our projects.</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Your responsibilities:</font></font></strong> </p> <ol> <li><font dir="auto" ><font dir="auto" >Data routing:</font></font></li> </ol> <ul> <li><font dir="auto" ><font dir="auto" >Gather the business needs of the different companies.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >D. Develop technical solutions for data collection</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Developing technical solutions for data storage</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Perform unit and integration tests.</font></font></li> </ul> <ol> <li><font dir="auto" ><font dir="auto" >Data provision:</font></font></li> </ol> <ul> <li><font dir="auto" ><font dir="auto" >To industrialize and automate data cleaning according to the selected specifications.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Manage, maintain, and document data flows</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Ensure production monitoring and maintenance.</font></font></li> </ul> <ol> <li><font dir="auto" ><font dir="auto" >Monitoring of development projects:</font></font></li> </ol> <ul> <li><font dir="auto" ><font dir="auto" >establish the technical specifications based on the needs analysis.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Report the activity to the project manager.</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" >Engineer with advanced training.</font></font></li> <li><font dir="auto" ><font dir="auto" >You have at least </font></font><strong><font dir="auto" ><font dir="auto" >3 years of experience in </font></font></strong><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >data engineering</font></font></strong><font dir="auto" ><font dir="auto" > issues </font><font dir="auto" >and skills in </font></font><strong><font dir="auto" ><font dir="auto" >Talend Data</font></font></strong><font dir="auto" ><font dir="auto" > Integration or </font></font><strong><font dir="auto" ><font dir="auto" >Talend Big Data in an </font></font></strong><font dir="auto" ><strong><font dir="auto" >agile</font></strong><font dir="auto" > context .</font></font><strong><font dir="auto" ></font></strong> </li> <li><font dir="auto" ><font dir="auto" >You have knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >data architectures</font></font></strong><font dir="auto" ><font dir="auto" > and cloud environments</font></font></li> <li><font dir="auto" ><font dir="auto" >You have experience in data visualization </font></font><strong><font dir="auto" ><font dir="auto" >(Power BI, Tableau, QlikView, D3.js)</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" >You are proficient in at least one specific programming language </font></font><strong><font dir="auto" ><font dir="auto" >(Spark, Scala, Python, Java, SQL)</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" >You are proficient in operating systems (UNIX, Linux, Solaris) with expertise in data storage and </font></font><strong><font dir="auto" ><font dir="auto" >ETL tools.</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" >Always on the lookout for new technologies and you like to change (Events, conferences, meetups, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Proactive and solution-oriented, you feel free to take risks and excel by sharing your ideas.</font></font></li> <li><font dir="auto" ><font dir="auto" >You are fluent in both spoken and written English.</font></font></li> </ul> <p> </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 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>
<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"><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><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 & 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 & 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"><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><ul><li><font dir="auto" ><font dir="auto" >Development & 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 & 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 & 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 & 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 & 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"><br>YOUR ROLE<br>Develop and test machine learning models for predictive analytics and data-driven optimization tasks.<br>* Collect, clean, and analyze business data to generate insights and interactive dashboards for decision-making.<br> * Develop and test machine learning models for predictive analytics and data-driven optimization tasks.<br> * Assist in building introductory computer vision solutions using Python, OpenCV, and deep learning frameworks.<br> * Participate in data pipeline development, preprocessing workflows, and model performance evaluation.<br> * Collaborate with the technical team on research, experimentation, and deployment of AI and analytics solutions.<br>YOUR SKILLS & EXPERIENCES<br>* Master's student<br> * Speciality : Big Data or Data science.<br> * Extensive knowledge of Python, C, Machine Learning and UML.<br> * Good level of English<br> * ____________________________________<br>ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.<br>At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.<br>To discover more, visit st.com/careers.<br><br></div></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>
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<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.
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<br> Job : <p><strong>In this role, your main tasks will be:</strong></p><br><br><p>• Quality Data Management: Manage quality data for analysis and reports.<br>• Quality Animation: Lead quality initiatives and manage technical issues.<br>• Development Tools: Use tools for managing defects during development.<br>• Reactive Quality: Implement reactive quality measures, learn from them, and ensure quality at launch.<br>• Coordination: Coordinate and lead teams to ensure quality standards.</p><br><br> <br> Required profile : <p><strong>Degree:</strong> A Master's degree in Engineering (Mechanical, Industrial, Mechatronics, or Quality Engineering)</p><br><br><p><strong>Experience:</strong> at least 1 year of experience in quality management, data analysis, or a coordination role, preferably in industries like automotive, aerospace, or manufacturing.</p><br><br><p><strong>Skills:</strong></p><br><br><p>• Experience in automotive interior, mechatronics, or similar fields (preferred).<br>• Knowledge of Stellantis processes and tools (e.g., GST, APQP).<br>• Proficiency in tools for managing defects during development.<br>• Knowledge of CATIA V6 (not mandatory but a plus).<br>Personal Skills<br>• Strong ability to coordinate and lead teams.<br>• Analytical and problem-solving mindset.<br>• Ability to manage technical issues and implement quality improvements.<br>Languages<br>• English: minimum level B2.1.</p><br><br> <br><br> </div>
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<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 www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and 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 & removable media data movement actions.</li><li>Analyze DLP events & escalations to customize & improve existing use cases.</li><li>Implement dashboards, metrics & 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 & Experience</strong></p><br><p>Must possess a Bachelor’s Degree in Information Security, Cyber Security or related degree & 5 years managing & supporting networking concepts, data loss technologies & enterprise engineering related to security solutions</p><br><p>Of work experience required, must have 5 years:</p><br><ol><li>evaluating & (re)configuring data loss utilizing prevention (DLP) tools to implement technology support;</li><li>administrating & managing data classification, DLP policy creation configuration within a global organization, working across multiple geographic regions;</li><li>integrating technology solutions & ensuring continuous data ingestion for security event correlation using Splunk;</li><li>troubleshooting use cases & policy events to ensure accuracy & integrity of the data being presented to support lines of business; &</li><li>performing insider risk data mapping, including identification & remediation of critical asset data within our cloud & network storage locations.</li></ol><p>Alternatively, would accept a Master's in Information Security, Cyber Security or related degree & 6 months managing & supporting networking concepts, data loss technologies & enterprise engineering related to security solutions.</p><br><p>Of work experience required, must have 6 months:</p><br><ol><li>evaluating & (re)configuring data loss utilizing prevention (DLP) tools to implement technology support;</li><li>administrating & managing data classification, DLP policy creation configuration within a global organization, working across multiple geographic regions;</li><li>integrating technology solutions & ensuring continuous data ingestion for security event correlation using Splunk;</li><li>troubleshooting use cases & policy events to ensure accuracy & integrity of the data being presented to support lines of business; &</li><li>performing insider risk data mapping, including identification & remediation of critical asset data within our cloud & 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: 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. </p><br><p>US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US & 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>
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<br> Company culture : <p>
<strong>Coface</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and quality professional relationships at the core of its operations. A close management approach encourages guidance, empowerment and skills development within a supportive environment. This culture is strongly complemented by a <strong>competitive dimension</strong>, focused on performance, results and customer orientation. It is also supported by a structured <strong>organizational foundation</strong> ensuring rigor and reliability, while a more moderate <strong>innovation component</strong> contributes to adaptability and continuous improvement. </p><br><br>
<br> Job : <p>Reporting to the Strategy and Development Department, the Data Lab brings together Data Science, AI, and Software Engineering skills to design, develop, and deploy operational solutions that improve the company's processes, products, and services. The team has about thirty people spread across Paris, Toronto, and Casablanca.</p><br><br><p>The Data Lab aims to implement best development practices, mainly in Python but also in React and Java, and manages CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, on Apache Airflow, and in the Cloud.</p><br><br><p>Knowledge sharing through presentations among team members, training, and technological watch on reserved time are part of the Data Lab's operating method.</p><br><br><p>The use cases for data science are varied and lead to concrete implementations in internal tools and client applications, for example:</p><br><br><ul><li>Scoring the risk of business failure</li><li>Extracting information from images and documents</li><li>Building and exploiting knowledge graphs</li><li>Search engine specialized in identifying companies</li><li>Financial modeling and simulations</li></ul><p><strong>The missions: </strong></p><br><br><ul><li>You will join Coface's Data Lab team and work most often in pairs or in small teams on innovative projects</li><li>You will fully design and develop solutions that may implement Machine Learning technologies, up to deployment on our container infrastructures or in the cloud, and production monitoring</li><li>You will contribute to technological watch</li></ul> <br> Required profile : <ul><li>Engineering degree or equivalent in Data Science: supervised and unsupervised learning, clustering, NLP...</li><li>Two years or more of experience in a similar role</li><li>Proficiency in Python, its ecosystem, and best practices for code review and continuous integration</li><li>Use of Linux and Git</li><li>Autonomy, curiosity, rigor</li><li>English: projects in international contexts</li></ul><p><br><strong>Appreciated skills:</strong></p><br><br><ul><li>Experience in developing Python applications with high-quality standards</li><li>Implementation of CI/CD pipelines</li><li>Experience with Docker/Kubernetes deployment and cloud applications</li><li>Proficiency in SQL and experience with NoSQL databases (document, graph)</li></ul> <br><br> </div>
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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>
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<br> Company culture : <p><strong>Leyton</strong> stands out for a <strong>strongly cooperative and people-centered culture</strong>, where trust, collaboration and employee well-being are key pillars. The company promotes a close management approach focused on support, empowerment and high-quality team relationships. This collaborative foundation is complemented by a <strong>significant innovation dimension</strong>, fostering initiative, creativity and agility. Competitive and organizational cultures play a more secondary role, providing structure, performance orientation and operational efficiency.
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<br> Job : <p><strong>The Associate Data Science Manager Is Responsible For :</strong></p><br><br><p>• Implementing and evolving the data domains and products required to support the needs of the company.</p><br><br><p>• Play a part in driving change management and process improvement.</p><br><br><p>• Work collaboratively with product management to create a roadmap and deliver on capabilities to increase the velocity of engineering teams.</p><br><br><p>• Ensuring team cohesion and motivation</p><br><br><p>• Designing, developing, and implementing methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured.</p><br><br><p>• Managing the daily operational activities that develop and implement tactical plans for specified area. Oversees team(s) assigned to projects and may manage implementations.</p><br><br><p>• Ensuring resources are accurately allocated in line with tactical plans and appropriately accounted for.</p><br><br><p>• Providing SMART objectives for the team and ensure its achievement</p><br><br><p>• Preparing clear career path for the team</p><br><br><p>• Providing the right support to operation ensuring clear work instruction and process definition by helping identify process deficiencies and leads the implementation of effective solutions.</p><br><br><p>• Ensuring agile SCRUM</p><br><br><p>• Delivering work products consistently, on time and on budget</p><br><br><p>• Ensuring the recruitement needs of the project</p><br><br> <br> Required profile : <p>• Master's Degree in Data Science, Computer Engineering, IT Project Management or related field;</p><br><br><p>• 8+ years of experience in software engineering;</p><br><br><p>• minimum 2-3 years in project management;</p><br><br><p>• Fluent in English & French;</p><br><br><p>• Curious, honest, ambitious, team-oriented, innovative, rigorous, and entrepreneurship mindset;</p><br><br><p>• Likes to challenge and be challenged in return.</p><br><br><p><strong>Join the Leyton IT Vision !</strong></p><br><br> <br><br> </div>
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<strong>Contexte :</strong><p>Dans le cadre de notre projet, nous recrutons un consultant IT et Data spécialisé en fiscalité pour accompagner la modernisation des processus déclaratifs et de reporting d’une Direction Fiscale. L’objectif est de réduire les risques opérationnels liés aux traitements manuels sous Excel et d’industrialiser les calculs complexes.</p><br><ul><li><strong>Durée :</strong> 6 mois</li><li><strong>Démarrage :</strong> ASAP</li><li><strong>Localisation :</strong> Casablanca, Maroc</li></ul><strong>Missions :</strong><ul><li>Cartographier les processus manuels existants (déclarations fiscales, reporting, contrôles)</li><li>Identifier les opportunités d’automatisation et d’industrialisation</li><li>Proposer une feuille de route priorisée des initiatives</li><li>Développer et déployer les automatisations retenues (VBA, Power Query, extractions sources)</li><li>Optimiser les calculs fiscaux et les flux de données</li><li>Explorer des cas d’usage IA pour les contrôles de cohérence et traitements volumineux</li></ul><strong>Profil recherché :</strong><ul><li>Maîtrise avancée d’Excel (VBA, Power Query, modélisation de données)</li><li>Expérience en automatisation de processus et gestion de flux de données</li><li>Compréhension des processus fiscaux et déclaratifs (un plus significatif)</li><li>Capacité à dialoguer avec des équipes métier non techniques</li><li>Autonomie, rigueur, pédagogie et orientation résultats</li></ul><strong>Compétences clés :</strong><ul><li>VBA Excel, Power Query</li><li>Extraction de données (SAP, EDS, etc.)</li><li>Automatisation de flux, optimisation de calculs</li><li>Sensibilité aux cas d’usage IA/data</li></ul><strong>Livrables :</strong><ul><li>Cartographie des processus manuels et des risques</li><li>Catalogue des opportunités d’automatisation (effort/valeur)</li><li>Recommandations techniques motivées</li><li>Feuille de route priorisée et chiffrage indicatif </li></ul>
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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"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <p> <strong> <u>Missions</u> :</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Leads the SQLI project team and is the main point of contact for the client on operational matters; he works particularly closely with the client's Project Manager.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensures the team is well-organized throughout the day and that the team is on track to successfully complete the sprint (production workflow), monitoring the backlog</font></font></li> <li><font dir="auto" ><font dir="auto" >Responsible for project delivery (planning, organization, execution, decision-making)</font></font></li> <li><font dir="auto" ><font dir="auto" >Organizes and leads planning meetings (sprint planning) and retrospectives, participates in project committees and steering committees</font></font></li> <li><font dir="auto" ><font dir="auto" >Manages continuous improvement activities, identifies and eliminates obstacles encountered by the team</font></font></li> <li><font dir="auto" ><font dir="auto" >D defines and monitors the management indicators (Burndown, Burnup, Bug, Satisfaction)</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong> <u><font dir="auto" ><font dir="auto" >Prerequisites</font></font></u> </strong><font dir="auto" ><font dir="auto" > :</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Master's degree (or equivalent) from an engineering school</font></font></li> <li><font dir="auto" ><font dir="auto" >Having already worked on data-related topics</font></font></li> <li><font dir="auto" ><font dir="auto" >Having already worked in an Agile (SCRUM) environment</font></font></li> <li><font dir="auto" ><font dir="auto" >A technical background would be an asset</font></font></li> </ul> <p> <strong> <u>Comp tences</u> :</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Ability to understand business issues, ability to challenge</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to execute SQL queries and perform data checks</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to understand the principles and practices of data management: knowledge of data modeling, data integration, and data quality assurance.</font></font></li> <li><font dir="auto" ><font dir="auto" >Analytical capacity</font></font></li> <li><font dir="auto" ><font dir="auto" >Good communication skills, listening skills, and a sense of pedagogy to ensure coordination with team members and stakeholders.</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"><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 & Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <p><font dir="auto" ><font dir="auto" >Within a team 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> <ul> <li><font dir="auto" ><font dir="auto" >Explore and analyze customer datacenter data</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in defining the scope of new functionalities</font></font></li> <li><font dir="auto" ><font dir="auto" >Developing statistical forecasting and machine learning models</font></font></li> <li><font dir="auto" ><font dir="auto" >Test the functionalities developed</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating with operational teams to formulate relevant hypotheses during the creation of statistical models</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><strong><font dir="auto" ><font dir="auto" >Minimum 7 years'</font></font></strong><font dir="auto" ><font dir="auto" > experience </font><font dir="auto" >in a similar role (Python and SQL)</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Master's degree in Computer Science</font></font></strong> </p> <p><font dir="auto" ><font dir="auto" >You are proficient in the following languages:</font></font></p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >#SQL and #Python</font></font></strong> </li> <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" > and </font></font><strong><font dir="auto" ><font dir="auto" >BigQuery</font></font></strong><font dir="auto" ><font dir="auto" > would be a plus</font></font></li> <li><font dir="auto" ><font dir="auto" >Agility: being familiar with agile methods, especially </font></font><strong><font dir="auto" ><font dir="auto" >SCRUM</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"><p><font dir="auto" ><font dir="auto" >Job Description: Responsibilities include: Facilitating Change Management Projects (CMP). Facilitating the PLM process. Preparing and leading change management sessions to control and monitor changes. Facilitating the synchronization and coordination of the SMARTCAR schedule with the F2X/E2U teams.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Engineering degree or Master's degree (Bac+5) in Industrial Engineering, Mechanical Engineering, Quality or equivalent field. 1-3 years of experience. Good level of French and English. Proficiency in PLM. Proficiency in GDM Project. Ability to lead cross-functional teams. Autonomy and proactivity.</font></font></p><p></p></section>