وظائف محلل أعمال في المغرب

<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>Developing and maintaining data transformation pipelines with DBT.</li><li>Handling and processing large volumes of data using BigQuery and advanced SQL.</li><li>Managing data flows and integration with Pub/Sub.</li><li>Automating data workflows using GitLab CI/CD and Docker Compose.</li><li>Developing batch processes for feeding and exporting data flows.</li><li>Deploying generic UIs through SQL inserts.</li><li>Developing Shell Bash scripts in a Linux environment.</li><li>Using the internal Carrefour framework (Génépi).</li><li>Collaborating with the Flux team in an Agile environment.</li></ul> <br> Required profile : <p>Graduated with a Bac+5 (Master's degree) from an engineering school or equivalent university with a specialization in computer science, or with equivalent significant experience.</p><br><br><p><u><strong>Experience</strong></u>: +7 years in Data Engineering.</p><br><br><p><strong><u>Required Skills:</u></strong></p><br><br><ul><li>DBT, advanced SQL, BigQuery, GCP, Pub/Sub, GitLab CI/CD, Docker Compose, PostgreSQL, Linux, Shell Bash, Git, Vim, Agile Scrum.</li></ul> <br><br> </div>

<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>Your goal will be to ensure the validation of the performance, effectiveness, and robustness of AI models, by developing test strategies adapted to AI use cases (RAG, autonomous agents, LLMs), with particular attention to responsible and ethical aspects.</p><br><br><p>Your missions will be:&nbsp;</p><br><br><ul><li>Collaborate with product and data teams to ensure alignment of test results with business needs.</li><li>Develop the test approach, scenarios, and validation plans covering functional, non-functional (performance, security) aspects, and vulnerabilities.</li><li>Implement test processes and tools adapted to AI use cases (RAG validation, autonomous agents).</li><li>Track and share quality indicators (KPIs) to measure model effectiveness.</li><li>Industrialize AI testing practices within the teams.</li><li>Ensure technological watch on the evolution of AI testing frameworks and methodologies.</li><li>Be proactive in transforming concepts into operational testing solutions.</li></ul> <br> <br> Required profile : <p>Graduated with a Master's degree (Bac+5) in computer science.</p><br><br><p>Experience: Minimum 3 years.</p><br><br><p><u><strong>Required Skills:&nbsp;</strong></u></p><br><br><ul><li>Methodologies: Agile Testing, ISTQB guide, Data/AI acculturation (GenAI and non-GenAI)</li><li>Programming: Python, Pandas, NumPy</li><li>Generative AI: RAG, Prompt Engineering, Agentic, LLMs</li><li>AI Frameworks: LangChain, LangGraph or equivalents</li><li>AI Testing Tools: Giskard, RAGAS, Deep-Eval or similar model evaluation solutions</li></ul> <br><br> </div>

<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>Your tasks will include:</p><br><br><ul><li>Developing data pipelines.</li><li>Processing large volumes of data.</li><li>Optimizing processing performance.</li><li>Maintaining Big Data platforms.</li><li>Participating in support activities.</li><li>Collaborating with Data teams.</li></ul> <br> Required profile : <p>You have a Master's degree (Bac+5) in computer science.</p><br><br><p>Significant experience in Big Data.</p><br><br><p><u><strong>Required skills: </strong></u></p><br><br><ul><li><p>Spark, Hadoop, Python, SQL, Kafka, Cloud.</p><br><br></li></ul> <br><br> </div>

<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>Your goal will be to design, develop, and maintain large-scale data processing solutions within the Data Platform, to support analytical, operational, and real-time uses in a data-centric architecture..</p><br><br><p>Within the Data Platform teams, the consultant will be responsible for:</p><br><br><ul><li>Designing, developing, and maintaining large-scale data processing solutions</li><li>Implementing batch and streaming data pipelines</li><li>Using technologies such as BigQuery, BigTable, Apache Kafka, and Apache Spark</li><li>Collaborating closely with development and production teams</li><li>Ensuring the quality, performance, and robustness of deployed solutions</li></ul> <br> Required profile : <p>Graduate of a Bac+5 (Master's degree) from an engineering school or equivalent university with a specialization in computer science, or with equivalent significant experience</p><br><br><p><u><strong>Experience</strong></u>: More than 6/7 years of confirmed experience in Scala / Java and Data Engineering.<br>Experience in retail or large-scale distribution is a plus.</p><br><br><p><u><strong>Required Skills:</strong></u></p><br><br><p><strong>Technical:</strong></p><br><br><ul><li>Scala and/or Java</li><li>Functional programming</li><li>Apache Kafka / Kafka Streams</li><li>Apache Spark</li><li>BigQuery &amp; advanced SQL</li><li>GCP or AWS (Cloud Storage, BigQuery, Dataproc, Kubernetes)</li><li>CI/CD: GitLab CI/CD, Docker Compose</li><li>Linux &amp; command line</li><li>Microservices architecture</li><li>Unit and integration testing</li><li>Spring Boot</li></ul><p><strong>Methodologies:</strong></p><br><br><ul><li>DevOps</li><li>Agile Scrum</li></ul><p><strong>Soft skills:</strong></p><br><br><ul><li>Excellent written and oral communication</li><li>Ability to produce quality deliverables and reports</li><li>Analytical thinking and continuous improvement mindset</li><li>Ability to take a step back</li><li>Team spirit and cross-functional collaboration</li></ul> <br><br> </div>

<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>Your missions will be:&nbsp;</p><br><br><ul><li>Developing data pipelines.</li><li>Designing and maintaining Data architectures.</li><li>Data integration.</li><li>Optimizing processes.</li><li>Automating deployments.</li><li>Support and continuous improvement.</li></ul> <br> Required profile : <p>Graduate of a Bac+5 (Master's degree) in computer science.</p><br><br><p><u><strong>Experience:</strong></u>4 years of experience in Data Engineering.</p><br><br><p><u><strong>Required skills:&nbsp;</strong></u></p><br><br><ul><li>Python, SQL, ETL, Cloud, Data Warehouse, CI/CD</li><li>Cloud experience appreciated</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p><strong>Mission Details</strong></p><br><br><p>Within a team of data scientists and data engineers organized in Scrum Agile mode, the consultant will be involved in implementing analytical and predictive solutions for the Supply Chain.</p><br><br><p>The main responsibilities are:</p><br><br><ul><li>Structure, plan, and coordinate the team's work in collaboration with data scientists, the lead data scientist, data analysts, the Product Owner, business teams, and other technical teams.</li><li>Align the construction of analytical and technical solutions with business needs.</li><li>Advise, guide, and ensure the upskilling of the team's data engineers.</li><li>Be responsible for data science and software development methodologies (qualification of sub-projects, iterative developments, industrialization of solutions, maintainability, measurement, and performance monitoring).</li><li>Arbitrate technical discussions when necessary.</li><li>Ensure continuous technological watch to challenge the existing and propose innovative solutions.</li><li>Contribute directly to projects as a Data Scientist.</li></ul> <br> Required profile : <p>Master's degree (Bac+5) in Computer Science</p><br><br><p>More than <strong>7 years of proven experience</strong> in SQL / BigQuery, Python, GCP, Git, and DBT.</p><br><br><p>Experience in the retail or mass distribution sector is a plus.</p><br><br><p><u><strong>Required Skills</strong></u></p><br><br><p><strong><em>Technical:</em></strong></p><br><br><ul><li><em>SQL / BigQuery</em></li><li><em>Python</em></li><li><em>GCP (Google Cloud Platform)</em></li><li><em>Git</em></li><li><em>DBT</em></li><li><em>Machine Learning &amp; Deep Learning</em></li><li><em>Forecasting and optimization under constraints</em></li><li><em>Industrialization of ML models in a cloud environment</em></li><li><em>Large-scale database manipulation</em></li></ul><p><strong><em>Methodologies &amp; Organization:</em></strong></p><br><br><ul><li><em>Mastery of the complete Data Science project lifecycle</em></li><li><em>Agile Methods: Scrum, Sprint Planning, Backlog</em></li><li><em>Code quality, simplicity, and maintainability</em></li></ul><p><strong><em>Soft skills:</em></strong></p><br><br><ul><li><em>Excellent written and oral communication in French</em></li><li><em>Ability to simplify complex topics for non-technical audiences</em></li><li><em>Analytical mindset and continuous improvement</em></li><li><em>Ability to step back and make proposals</em></li><li><em>Adherence to deadlines and quality standards</em></li><li><em>Team spirit and cross-functional collaboration</em></li></ul> <br><br> </div>

<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>Designing and developing interactive and dynamic dashboards in Tableau Desktop.</li><li>Optimizing dashboards and applying Data Visualization best practices.</li><li>Writing and optimizing SQL queries for data analysis.</li><li>Using BigQuery for data extraction and analysis.</li><li>Designing visualizations adapted to business needs.</li><li>Participating in the simplification and enhancement of data.</li><li>Collaborating with business and technical teams.</li><li>Contributing to the Vusion and RFF projects.</li></ul> <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 of experience in Data Visualization</p><br><br><p><strong><u>Required Skills:</u></strong></p><br><br><ul><li>Tableau Desktop, SQL, BigQuery, Data Visualization, Data Analytics, Dashboard Design<br></li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p><strong>Responsibilities - Migration and technical execution </strong></p><br><br><p>- Perform migration operations according to the schedule and established procedures.</p><br><br><p>- Use dedicated tools (SPMT, ShareGate, Migration Manager, PowerShell scripts).</p><br><br><p>- Prepare source and target environments (permissions, paths, prerequisites).</p><br><br><p>- Participate in pre- and post-migration validation tests.</p><br><br><p><strong>Responsibilities - Quality control &amp; integrity </strong></p><br><br><p>- Verify the completeness of migrated data (volume, structure, permissions).</p><br><br><p>- Identify and report detected anomalies.</p><br><br><p>- Propose simple corrective actions or escalate them to N3.</p><br><br><p><strong>Responsibilities - Reporting &amp; documentation </strong></p><br><br><p>- Produce progress reports (migration log, success rate, errors).</p><br><br><p>- Document incidents, actions taken, and technical follow-ups.</p><br><br><p>- Update dashboards, procedures, and checklists.</p><br><br> <br> <br> Required profile : <p><strong>Technical Skills </strong></p><br><br><ul><li>Proficiency in Microsoft 365: SharePoint Online, OneDrive, Teams.</li><li>Knowledge of Windows File Servers (NTFS, shares).</li><li>Migration tools: SPMT, ShareGate, Migration Manager.</li><li>Basic SQL knowledge.</li><li>PowerShell knowledge.</li></ul><p><strong>Behavioral Skills </strong></p><br><br><ul><li>Rigor and attention to detail.</li><li>Ability to follow procedures and document precisely.</li><li>Team spirit.</li><li>Organization.</li></ul><p><strong>Qualifications:</strong></p><br><br><p><em>Associate's or Bachelor's degree in IT / Systems and Networks / Cloud.</em></p><br><br><p><em>Proficiency in Microsoft 365: SharePoint Online, OneDrive, Teams</em></p><br><br><p><em>Good level of English. </em></p><br><br> <br><br> </div>

<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>Joining the Digital Factory Supply Chain to support forecasting and optimization topics using data and advanced analysis</li><li>Designing, structuring, and industrializing forecasting calculation tools (store demand forecasting, warehouse load forecasting, supply chain optimization)</li><li>Structuring, planning, and coordinating the team's work in collaboration with Data Scientists, Data Engineers, Data Analysts, Product Owners, and business teams</li><li>Aligning analytical and technical solutions with business and company goals</li><li>Supervising, guiding, and supporting the skill development of more junior profiles</li><li>Ensuring best practices in Data Science and software development (quality, maintainability, performance, industrialization)</li><li>Arbitrating technical choices and contributing to the continuous improvement of methodologies and solutions</li><li>Actively participating in modeling, analysis, and industrialization topics as a senior contributor</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>: between 5 to 7 years</p><br><br><p><strong><u>Required Skills:</u></strong></p><br><br><ul><li>Excellent command of SQL / BigQuery for exploring, transforming, and analyzing large-scale data</li><li>Excellent command of Python for analysis, modeling, and industrialization</li><li>Good command of GCP (Google Cloud Platform)</li><li>Good command of Git and collaborative development best practices</li><li>Good command of DBT</li><li>Solid command of the complete Data Science project lifecycle (collection, preparation, modeling, evaluation, deployment)</li><li>Proven experience in industrializing Machine Learning solutions in a cloud environment</li><li>Good command of large-scale data manipulation issues</li><li>Good understanding of business issues related to supply chain, forecasting, and optimization</li><li>Command of Agile methodologies (Scrum, Sprint Planning, Backlog)</li></ul><p><strong><u>Soft Skills:</u></strong></p><br><br><ul><li>Technical leadership</li><li>Excellent written and oral communication</li><li>Analytical mindset and critical thinking</li><li>Ability to step back</li><li>Ability to challenge the status quo</li><li>Rigor and attention to quality</li><li>Team spirit</li><li>Ability to simplify complex topics</li></ul> <br><br> </div>

<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>Joining the Digital Factory Supply Chain to support forecasting and optimization topics using data and advanced analysis</li><li>Designing, structuring, and industrializing forecasting calculation tools (store demand forecasting, warehouse load forecasting, supply chain optimization)</li><li>Structuring, planning, and coordinating team work in collaboration with Data Scientists, Data Engineers, Data Analysts, Product Owners, and business teams</li><li>Aligning analytical and technical solutions with business and operational challenges</li><li>Mentoring, guiding, and supporting the skill development of junior profiles</li><li>Ensuring good practices in Data Science and software development (quality, maintainability, performance, industrialization)</li><li>Arbitrating technical choices and contributing to the continuous improvement of methodologies and solutions</li><li>Actively participating in modeling, analysis, and industrialization topics as a senior contributor</li></ul> <br> <br> Required profile : <p>Graduated with a Bac+5 (Master's degree) from an engineering school or equivalent university with a specialization in computer science, or with equivalent significant experience.</p><br><br><p><u><strong>Experience</strong></u>: More than 7 years</p><br><br><p><strong><u>Required Skills:</u></strong></p><br><br><ul><li>Excellent command of SQL / BigQuery for large-scale data exploration, transformation, and analysis</li><li>Excellent command of Python for analysis, modeling, and industrialization</li><li>Good command of GCP (Google Cloud Platform)</li><li>Good command of Git and collaborative development best practices</li><li>Good command of DBT</li><li>Solid command of the full Data Science project lifecycle (collection, preparation, modeling, evaluation, deployment)</li><li>Proven experience in industrializing Machine Learning solutions in a cloud environment</li><li>Good command of large-scale data manipulation issues</li><li>Good understanding of business issues related to supply chain, forecasting, and optimization</li><li>Proficiency in Agile methodologies (Scrum, Sprint Planning, Backlog)</li></ul><p><strong><u>Soft Skills:</u></strong></p><br><br><ul><li>Technical leadership</li><li>Excellent written and oral communication</li><li>Analytical thinking and critical judgment</li><li>Ability to step back and analyze</li><li>Ability to challenge the existing</li><li>Rigor and attention to quality</li><li>Team spirit</li><li>Ability to simplify complex topics</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).<br> Our proprietary AI orchestrator.<br> Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> About this role This role will give you the opportunity to work on high added value data governance and data quality projects, building robust data management frameworks for our clients within a growing service company.<br> As our Data Governance Specialist, you will help clients take control of their data assets — defining policies, enforcing quality standards, managing metadata, and deploying governance tooling.<br> You will collaborate closely with data engineers, analysts, and client stakeholders to embed governance practices across the full data lifecycle.<br> What will you do?<br> Design, implement, and operationalize data governance frameworks across client engagements, covering the following areas: DATA GOVERNANCE &amp; POLICY Define and implement data governance frameworks, policies, and standards tailored to client environments.<br> Establish data ownership, stewardship models, and accountability structures across business and technical teams.<br> Develop and maintain data dictionaries, business glossaries, and classification taxonomies.<br> Ensure compliance with data regulations and internal data management policies (GDPR, BCBS 239, etc.<br>). DATA QUALITY &amp; LINEAGE Design and implement data quality rules, profiling routines, and monitoring dashboards.<br> Investigate and remediate data quality issues across structured and unstructured data sources.<br> Map and document end-to-end data lineage to support auditability and impact analysis.<br> Define and track data quality KPIs and SLAs in collaboration with data owners.<br> METADATA &amp; CATALOGUING Deploy and administer data catalog and metadata management tools (e.<br>g. Informatica, Collibra, Alation, Microsoft Purview).<br> Enrich metadata assets with business context, ownership, sensitivity classification, and usage information.<br> Drive adoption of the data catalog across business and technical teams.<br> TOOLING &amp; INTEGRATION Configure and operate data governance platforms, primarily Informatica (IDMC, Axon, EDC, DQ) and equivalent tools.<br> Integrate governance tooling with existing data pipelines, warehouses, and BI environments.<br> Automate data quality checks and governance workflows within ETL/ELT pipelines.<br> OTHER Provide internal training and knowledge-sharing sessions on data governance best practices.<br> Support the Team Lead/Manager on client relationships, business development, and internal projects.<br> Who are you?<br> EDUCATION &amp; PROFESSIONAL EXPERIENCE Master’s degree in a relevant field such as Computer Science, Information Systems, Data Management, Statistics, or Applied Mathematics.<br> Full proficiency in French and English 3 to 6 years of experience in data governance, data management, or data engineering with a strong governance focus.<br> Experience working in a consulting, financial services, or multi-client environment is a plus.<br> TECHNICAL SKILLS DATA GOVERNANCE TOOLS Proven hands-on experience with Informatica (IDMC / Intelligent Data Management Cloud, Axon Data Governance, Enterprise Data Catalog, Data Quality).<br> Experience with other governance and cataloguing platforms such as Collibra, Alation, Ataccama, or Microsoft Purview.<br> Familiarity with data quality tools: Great Expectations, Monte Carlo, Soda, or equivalent.<br> DATA ENGINEERING &amp; QUERYING Solid experience with SQL for data profiling, querying, and quality rule implementation across relational databases and data warehouses (Snowflake, BigQuery, Synapse, Redshift).<br> Experience in Python for automating data quality checks, metadata extraction, and governance workflows.<br> Understanding of ETL/ELT pipelines and ability to embed governance controls within them (dbt, Airflow, Informatica PowerCenter/IDMC).<br> DATA ARCHITECTURE &amp; PLATFORMS Good understanding of data platform architectures: data lake, lakehouse, and data warehouse environments.<br> Familiarity with cloud platforms and their native governance services: Azure Purview, AWS Glue Data Catalog, Google Dataplex.<br> Understanding of data modelling concepts and their impact on governance (dimensional modelling, data vault, etc.<br>). STANDARDS &amp; COMPLIANCE Knowledge of data governance frameworks and standards: DAMA-DMBOK, BCBS 239, GDPR, ISO 8000.<br> Experience defining and applying data classification schemes (sensitivity labels, PII tagging, retention policies).<br> Exposure to master data management (MDM) concepts and tools is a plus.<br> INTERPERSONAL SKILLS Ability to engage and influence both technical teams and business stakeholders on data governance topics.<br> Strong analytical mindset with the ability to diagnose data quality issues and translate them into actionable remediation plans.<br> Good communication skills with the ability to document governance frameworks clearly and present findings to senior audiences.<br> Detail-oriented, rigorous, and comfortable working across multiple client contexts simultaneously.<br> What we offer A competitive salary.<br> A great working environment.<br> A steep learning curve with interesting and diverse topics to work on.<br> A healthy work-life balance.<br> Health insurance benefits.<br> Equal opportunity employer Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).<br> If you believe you match our requirements and values, we would be happy to hear from you.<br> Visit our website to know more about us, our services and company culture.<br></span> </div>

<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>

<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>In a Data-driven context, we are looking for a Project Manager specialized in Data to lead BI and Data Engineering projects. The candidate will be responsible for coordinating teams, managing projects, while ensuring compliance with costs, deadlines, and quality.</p><br><br><p><u><strong>Functions and responsibilities:</strong></u></p><br><br><br><ul><li>Lead Data and BI projects from start to finish</li><li>Manage and coordinate technical teams</li><li>Design Data architectures adapted to business needs</li><li>Supervise ETL flows and BI tools</li><li>Ensure the quality, governance, and reliability of data</li><li>Develop, monitor, and control project budgets, ensuring cost compliance and resource optimization</li><li>Monitor financial indicators, anticipate budget variances, and propose necessary corrective actions</li><li>Guarantee compliance with deadlines, risks, and project commitments</li></ul> <br> <br> Required profile : <p><u><strong>Qualities required to succeed in this role</strong></u></p><br><br><ul><li>Expertise in Data (ETL, BI, MicroStrategy, Power BI...)</li><li>Solid experience in Data project management</li><li>Proficiency in budget management and financial monitoring of projects</li><li>Ability to simplify technical topics for stakeholders</li><li>Technical leadership and excellent coordination skills</li><li>Analytical mindset and results-oriented</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>Chez Devoteam, nous sommes des « Digital Transformakers ». Le respect, la franchise et la passion animent chaque jour notre tribu.&nbsp;</p><br><p>Ensemble, nous aidons nos clients à remporter la bataille du Digital : du conseil à la mise en œuvre de technologies innovantes, jusqu’à l’adoption des usages.</p><br><p>Cloud, Cybersecurity, Data, DevOps, Fullstack Dev, Low Code, RPA n’ont plus aucun secret pour notre tribu !&nbsp;</p><br><p>Nos 10 000+ collaborateurs sont certifiés, formés et accompagnés au quotidien pour relever de nouveaux challenges innovants.</p><br><p>Leader du Cloud, de la Cybersécurité et de la Data en EMEA, le Groupe Devoteam a réalisé en 2022 un chiffre d’affaires de 1,036 milliard d’euros et se donne pour ambition de le doubler dans les 5 années à venir.</p><br><p>Devoteam Maroc, acteur de référence dans les expertises IT depuis plus de 30 ans&nbsp; (350+ consultants) accélère sa croissance en développant ses activités d’expertise en nearshore pour répondre aux besoins de nos clients français, européens et moyen orientaux.</p><br><p><strong>Es-tu prêt(e) à nous rejoindre et relever ensemble ce défi ?</strong></p><br><br>Job Description<br><p>Dans le cadre du renforcement des équipes Data, nous recherchons des profils capables de concevoir, industrialiser et optimiser des plateformes de données (batch &amp; temps réel) au sein d’environnements distribués basés sur Cloudera.<br> <br> <strong>Vos missions :</strong></p><br><p><strong>Développement &amp; Industrialisation</strong></p><br><ul><li><p><strong>Développer des pipelines de traitement</strong> de données massives en <strong>PySpark</strong> (modes Batch et <strong>Real-Time / Streaming</strong>).</p><br></li><li><p><strong>Mettre en place des flux temps réel</strong> via <strong>Kafka</strong> (topics, partitions, schémas, offsets) et assurer l'ingestion avec <strong>NiFi</strong>.</p><br></li><li><p><strong>Modéliser et optimiser</strong> les schémas <strong>NoSQL</strong>, notamment sur <strong>Cassandra</strong> (tables, clés, clustering, réplication) et <strong>Hive</strong>.</p><br></li><li><p>Intégrer et transformer des données provenant de multiples sources (APIs, BDD, streams, fichiers).</p><br></li></ul><p><strong>Qualité, Performance &amp; Fiabilité</strong></p><br><ul><li><p>Déployer des mécanismes de Data Quality (contrôles, monitoring, alerting).</p><br></li><li><p><strong>Optimiser les traitements Spark</strong> (partitioning, tuning, formats de données) spécifiquement pour des architectures distribuées.</p><br></li><li><p>Assurer la supervision et la résolution des incidents dans un environnement de production.</p><br></li></ul><p><strong>CI/CD &amp; Gouvernance</strong></p><br><ul><li><p>Industrialiser les développements via des chaînes CI/CD (tests automatisés, déploiements).</p><br></li><li><p>Documenter les flux, modèles et bonnes pratiques.</p><br></li><li><p>Collaborer ponctuellement avec les équipes métiers sur des sujets <strong>Dataviz</strong> et collaborer avec les Data Scientists (notamment sur des algorithmes de <strong>segmentation client</strong>).</p><br></li><li><p>Contribuer à la gouvernance des données (catalogue, traçabilité, sécurité).</p><br></li></ul><br>Qualifications<br><ul><li><p><strong>Expérience :</strong> ~4 ans d’expérience dans des environnements distribués et des architectures Big Data.</p><br></li><li><p><strong>Architecture :</strong> Forte appétence et expérience significative sur des infrastructures <strong>On-Premise</strong>.</p><br></li><li><p><strong>Spark / PySpark :</strong> Maîtrise impérative en traitement Batch et Streaming.</p><br></li><li><p><strong>NoSQL :</strong> Expérience confirmée sur <strong>Cassandra</strong> et/ou <strong>Hive</strong></p><br></li><li><p><strong>Streaming &amp; Ingestion :</strong> Très bonne maîtrise de <strong>Kafka</strong> et <strong>NiFi</strong></p><br></li><li><p><strong>Nice-to-have / Bonus :</strong> Bonne compréhension de l'écosystème Hadoop/<strong>HDFS</strong>.</p><br></li><li><p>La maîtrise de <strong>Cloudera</strong> est un plus mais reste facultative.</p><br></li><li><p>Notions en <strong>Data Science</strong> (modèles de clustering/segmentation client) et outils de <strong>Dataviz</strong>.</p><br></li><li><p><strong>Outils &amp; DevOps :</strong> Compétences en Git, CI/CD (GitLab CI…) et un outil d’orchestration (Airflow, Luigi, Prefect…).</p><br></li></ul><br>Additional Information<br><p><strong>Pourquoi nous rejoindre ?</strong></p><br><p>Rejoindre Devoteam, c’est :</p><br><ul><li><p>Évoluer sur des <strong>projets stratégiques</strong> autour de la donnée</p><br></li><li><p>Bénéficier d’un <strong>accompagnement personnalisé</strong> pour le développement de vos compétences et certifications</p><br></li><li><p>Travailler dans un <strong>environnement stimulant, collaboratif et bienveillant</strong></p><br></li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Contexte :</strong></p><br><p>Dans le cadre du renforcement de l’équipe de développement DATA&amp;IA, nous recherchons pour notre client un consultant pour participer à la conception, au développement et à l’industrialisation de solutions Data, BI et Intelligence Artificielle, afin de valoriser les données de l’entreprise et accompagner sa transformation digitale.</p><br><ul><li><strong>Durée :</strong>&nbsp;110 JH&nbsp; renouvelables </li><li><strong>Démarrage :</strong>&nbsp;ASAP</li><li><strong>Localisation :</strong>&nbsp;Casablanca, Maroc</li></ul><p><strong>Missions principales :</strong></p><br><ul><li>Gérer le cycle de vie des données : extraction, transformation, chargement et valorisation via pipelines et tableaux de bord</li><li>Développer et maintenir des flux ETL (Talend Open Studio, Python) et orchestrer les workflows avec Apache Airflow</li><li>Concevoir et déployer des tableaux de bord interactifs avec Qlik Sense</li><li>Utiliser Python pour automatiser les traitements et réaliser des analyses avancées</li><li>Concevoir, entraîner et optimiser des modèles IA (Machine Learning, Deep Learning, NLP, Computer Vision)</li><li>Industrialiser les solutions IA (socle technique, intégration dans les applications existantes)</li><li>Définir et implémenter des architectures IA robustes et scalables (API, microservices, MLOps)</li><li>Nettoyer, transformer et garantir la qualité des datasets pour l’entraînement des modèles</li><li>Collaborer avec les équipes métiers, Data et Dev pour assurer la mise en production</li><li>Assurer une veille technologique pour enrichir le socle technique</li></ul><p><strong>Activités complémentaires :</strong></p><br><ul><li>Assister aux ateliers de cadrage technique et fonctionnel</li><li>Communiquer avec les parties prenantes des projets</li></ul><p><strong>Compétences techniques requises :</strong></p><br><ul><li>ETL : Talend Open Studio, Python, Apache Airflow</li><li>BI : Qlik Sense</li><li>Python : automatisation, analyse, développement IA (Pandas, NumPy)</li><li>Frameworks IA : TensorFlow, PyTorch, Scikit-learn</li><li>Industrialisation IA : socle technique, intégration, MLOps</li><li>Gouvernance et qualité des données</li><li>Capacité à transformer les besoins métiers en solutions Data &amp; IA performantes</li></ul><p><strong>Compétences comportementales :</strong></p><br><ul><li>Travail collaboratif avec développeurs et équipes techniques</li><li>Fort engagement et disponibilité</li></ul> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Publication date :</strong> May 19, 2026, 12:00AM</p><br><br>Vidéo EVP<br>Déclaration de mission de l'entreprise<p>Join us at Orange Business!</p><br><br><p>We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.</p><br><br><p>Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.</p><br><br>À propos du rôleDS est à la recherche d'un chef de projet data IA orienté PMO afin d'accompagner l'entité dans les appels d'offre du marché local<br><strong>Activités principales :</strong><br><br><ul><li>Analyser les besoins clients (workshops, cadrage initial)</li><li>Identifier les enjeux métiers et techniques (Data, IA, SI)</li><li>Évaluer la faisabilité (technique, organisationnelle, budgétaire)</li><li>Formaliser les cas d’usage Data &amp; IA</li><li>Définir une trajectoire projet (roadmap, jalons, livrables)</li><li>Rédiger les propositions commerciales (réponse à appel d’offres / RFP/RFI)</li><li>Structurer le planning projet et les macro-charges</li><li>Définir le modèle de gouvernance (comités, PMO, KPI)</li><li>Contribuer au chiffrage (coûts, marges, risques)</li><li>réparer et présenter les offres (soutenance client)</li><li>Argumenter sur la valeur métier et le ROI</li><li>Adapter le discours à des interlocuteurs variés (IT, métier, direction)</li><li>Répondre aux questions techniques et organisationnelles</li></ul><br>À propos de vous<br><p>Vous être d'une formation supérieure (école d’ingénieur ou équivalent) avec au moins 5 ans d'expérience confirmée en gestion de projet</p><br><br><br><p><span>Prérequis </span>:</p><br><br><br><ul><li>Excellente maîtrise des méthodes de gestion de projet .</li><li>Sens de l’organisation, rigueur et orientation résultats.</li><li>Compétences attendues : rigueur, esprit de synthèse, prise d'initiative</li><li>Très bonne communication, bon rédactionnel, pédagogie autonomie.</li></ul><br><p>You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.</p><br><br>Informations supplémentaires<p><strong>• Opportunités mondiales:</strong> Travailler au sein d’équipes multinationales avec la possibilité de collaborer avec des collègues et des clients du monde entier..<br><strong>• Environnement de travail flexible:</strong> Horaires flexibles et possibilité de combiner travail au bureau et à domicile (modalités hybrides).<br><strong>• Développement professionnel:</strong> Programmes de formation et opportunités de montée en compétences ou de reconversion.<br><strong>• Évolution de carrière:</strong> Possibilités de progression interne et de mobilité au sein d’Orange.<br><strong>• Culture bienveillante et audacieuse:</strong> Programmes de santé et de bien-être, initiatives en faveur de la diversité et de l’inclusion, actions de Responsabilité Sociétale des Entreprises (RSE) et événements de lien avec les salariés.<br><strong>• Programmes de récompenses:</strong> Programme de parrainage.</p><br><br>Égalité des chances en matière d'emploi<p>Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.</p><br><br>Récompenses..<p> At Orange, only your skills matter. </p><br><br> <p> Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have. </p><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" >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"><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"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <p><font dir="auto" ><font dir="auto" >In this role, you will collaborate closely with our stakeholders, the IoT product management team, development teams, and other data scientists to define new products, services, and tools using data and machine learning. As a team member, you will work on developing data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets. You will also be responsible for supporting the teams with operational data-related tasks. </font></font><br> <br><font dir="auto" ><font dir="auto" ><b> Responsibilities</b></font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and deploy data-driven solutions to address a variety of business problems (predictive maintenance, equipment lifecycle analysis, etc.)</font></font></li> <li><font dir="auto" ><font dir="auto" >Understanding the requirements of product managers and providing insights and recommendations based on data analysis.</font></font></li> <li><font dir="auto" ><font dir="auto" >Working on the development of data models, algorithms and statistical analyses to extract meaningful insights from complex datasets.</font></font></li> <li><font dir="auto" ><font dir="auto" >Design and implement data pipelines and data warehouses to support data analysis and reporting needs.</font></font></li> <li><font dir="auto" ><font dir="auto" >Develop and maintain dashboards and visualizations to communicate insights and discoveries to stakeholders.</font></font></li> <li><font dir="auto" ><font dir="auto" >Mentor and coach developers on best practices in data analysis, modeling and visualization.</font></font></li> <li><font dir="auto" ><font dir="auto" >Keeping up to date with the latest advances in data science, machine learning and artificial intelligence technologies, and applying them to solve business problems.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li><font dir="auto" ><font dir="auto" >At least 7 years of experience in a similar role</font></font></li> <li><font dir="auto" ><font dir="auto" >At least 3 years of experience in a similar role</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with Big Data technologies such as Hadoop, Spark or Hive (experience with Databricks is a big plus).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with cloud technologies (ideally Microsoft Azure).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with Agile/Scrum disciplines based on Azure DevOps</font></font></li></ul></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &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" >In this key role, you will be responsible for designing and implementing BI, Analytics, and Big Data solutions. You will provide valuable and timely data analytics and solutions to the business, verifying requirements, defining the architecture, and developing an implementation plan. You will also be responsible for designing solutions that meet business needs and exceed client expectations. </font></font><br> <br> <strong><font dir="auto" ><font dir="auto" >Responsibilities and tasks:</font></font></strong> <br> <br><font dir="auto" ><font dir="auto" > As a technical lead:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Collaborating with the business solutions manager to implement data strategies and design data flows.</font></font></li> <li><font dir="auto" ><font dir="auto" >To serve as a reference in development and ensure consistency with existing assets and data architectures.</font></font></li> <li><font dir="auto" ><font dir="auto" >Perform complex data analyses and clearly communicate the procedure to follow.</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >You are responsible for development:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Provide other team members with clear updates on the progress of development, unit testing, and documentation of developed data pipelines.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the quality of the developed code and compliance with guidelines.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with Azure-based data solution architectures, the software development lifecycle (including Agile &amp; Waterfall), data engineering and ETL tools/platforms, and data modeling practices.</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >You develop and document the standards and methodologies surrounding the data platform, ensuring the security of knowledge and know-how:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Maintain the integration documentation.</font></font></li> <li><font dir="auto" ><font dir="auto" >Provide a critical judgment on the effectiveness of the data model based on your experience and best practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure that validation processes are followed.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li> <strong><font dir="auto" ><font dir="auto" >A minimum of </font></font></strong> <strong><font dir="auto" ><font dir="auto" >5 years of experience</font></font></strong><font dir="auto" ><font dir="auto" > in managing and implementing data projects.</font></font></li> <li><font dir="auto" ><font dir="auto" >But sad advance and of the </font></font><strong><font dir="auto" ><font dir="auto" >Azure</font></font></strong><font dir="auto" ><font dir="auto" > platform .</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent mastery of </font></font><strong><font dir="auto" ><font dir="auto" >PL/SQL</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Extensive expertise in </font></font><strong><font dir="auto" ><font dir="auto" >Data Analytics</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >bug analysis</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Advanced knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >Snowflake</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Basic knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >Power BI</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Advanced mastery with </font></font><strong><font dir="auto" ><font dir="auto" >Azure DevOps</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Good level in French and English</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li></ul></div><p></p></section>