Database Developer Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p> Ce que nos collaborateurs aiment le plus chez nous <span>❤</span> : Pour consulter leurs avis certifiés </p><br><br> <br> <br> Company culture : <p> <strong>Sofrecom Maroc</strong> stands out for its <strong>strongly collaborative culture</strong>, where people, trust and employee well-being are central priorities. A close management approach promotes support, accountability and long-lasting teamwork. This collaborative foundation is complemented by a <strong>notable innovation dimension</strong>, encouraging initiative, agility and experimentation. <strong>Structured processes</strong> ensure reliability and operational efficiency, while performance-driven practices play a more supportive and balanced role. </p><br><br> <br> <br> Job : <p>As part of the Cyber Threats Mitigation Crash Program launched to strengthen the cybersecurity and resilience of Orange Middle East and Africa (OMEA), a specific component is dedicated to Personal Data Protection. This aims to enhance OMEA subsidiaries' capacity to prevent, qualify, document, and manage personal data breaches in the context of cyberattacks or operational crises.<br>Within the DPO Office OMEA, and in close collaboration with MEA-Sec, local legal departments, cybersecurity teams, BCCM, IT/Network, and communication departments, the consultant will contribute for 12 months to the design, structuring, deployment, and operational management of this program in the OMEA region.<br>The consultant will primarily focus on the following crash program workstreams:<br>• Data Privacy Playbook ;• Privacy-by-design ;• Data Loss Prevention ;• Data Breach Response PlanDescription of activitiesThe consultant's main activities are as follows:1. Structuring the Data Privacy Program</p><br><br><ul><li>Contribute to the scoping, governance, and management of the Personal Data Protection component of the OMEA crash program.</li><li>Define, with the OMEA DPO and MEA-Sec, the roadmap, priorities, milestones, and monitoring indicators.</li><li>Prepare management materials, reports, dashboards, and follow-up committees.</li></ul><p>2. Data Privacy Playbook / Crisis Management</p><br><br><ul><li>Design and formalize a Data Privacy Playbook applicable to OMEA subsidiaries in case of a cyber incident affecting personal data.</li><li>Define roles, responsibilities, escalation procedures, and RACI matrices between DPO, cybersecurity, legal, communication, customer service, and management.</li><li>Develop operational models (breach register; notification decision tree; notification templates for authorities / affected individuals / clients / partners; FAQ and crisis communication talking points).</li></ul><p>3. Data Breach Response Plan</p><br><br><ul><li>Build a personal data breach response plan integrated into cyber crisis management.</li><li>Define workflows for qualification, risk assessment, documentation, evidence preservation, notification, and lessons learned.</li><li>Prepare and conduct crisis exercises/simulations, including a data exfiltration or disclosure scenario.</li></ul><p>4. Privacy by Design / Data Governance</p><br><br><ul><li>Contribute to integrating privacy by design and by default requirements into subsidiaries' projects, applications, repositories, and document sharing.</li><li>Formalize minimum requirements for data minimization, access control, need-to-know principle, retention, and document classification.</li><li>Provide tools or strengthen Privacy Risk Assessment reviews for priority cases.</li></ul><p>5. Data Loss Prevention / Exposure Mapping</p><br><br><ul><li>Contribute to the functional definition of the Data Loss Prevention workstream regarding data protection.</li><li>Participate in defining detection and prevention rules for personal data leaks or sensitive document exposure.</li></ul><p>6. Operational Support to Subsidiaries</p><br><br><ul><li>Provide expert support to OMEA entities in qualifying their local data protection challenges.</li><li>Assist priority subsidiaries in implementing the program's deliverables.</li><li>Help with gap analysis, defining remediation plans, and maturity improvement.</li></ul><p>7. Incident Management / Crisis Management</p><br><br><ul><li>Support the DPO Office OMEA in handling significant personal data incidents or breaches in the region.</li><li>Participate, if necessary, in crisis management teams for data protection, notification, communication, and relations with authorities/clients.</li><li>Ensure consistency between local regulatory requirements, Group policies, and operational imperatives.</li></ul><p>8. Awareness, Documentation, and Change Management</p><br><br><ul><li>Design or enhance awareness and training kits on personal data breaches; DPO/cyber reflexes during crises; personal data qualification; notification obligations.</li><li>Contribute to spreading best practices across the entire OMEA region.</li><li>Participate in capitalizing on lessons learned (RETEX) and continuous improvement of the system.<br>&nbsp;</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>&amp;nbsp;</p><br>Who are we?<p>Artefact is a global leader in data and AI consulting, helping organizations transform data into measurable business impact. We combine deep expertise in data, artificial intelligence and digital transformation to solve complex business challenges and accelerate innovation.</p><br><p>With<span>&amp;nbsp;</span><strong>1,700+ experts across 25+ offices worldwide</strong>, Artefact supports leading international companies in designing and deploying cutting-edge data platforms, AI solutions and cloud architectures that create long-term value.</p><br><p>At<span>&amp;nbsp;</span><strong>Artefact Casablanca</strong>, you'll join one of our fastest-growing hubs, working alongside highly skilled Data Engineers, Data Scientists, Analytics Consultants and Cloud Experts on ambitious international projects. Our culture is built around excellence, collaboration, continuous learning and entrepreneurship.</p><br><p>If you are passionate about technology, leadership and delivering business impact through data, we'd love to meet you.</p><br>Your Role<p>As a<span>&amp;nbsp;</span><strong>Manager Data Engineering</strong>, you will play a strategic role in delivering large-scale Data &amp;amp; AI transformation programs while leading and growing high-performing engineering teams.</p><br><p>You will combine technical expertise, people leadership and client engagement to build modern, scalable and cloud-native data platforms.</p><br>Your ResponsibilitiesLead Data Engineering Projects<ul><li>Lead the design and delivery of modern cloud data platforms.</li><li>Define scalable architectures aligned with business and technical requirements.</li><li>Ensure engineering excellence, code quality, security and performance.</li><li>Drive best practices across Data Engineering, DevOps and MLOps.</li></ul>Manage &amp;amp; Grow Teams<ul><li>Lead, mentor and coach a team of Data Engineers.</li><li>Support consultants in their technical development and career progression.</li><li>Foster a collaborative, high-performance and knowledge-sharing culture.</li><li>Participate in recruitment, onboarding and capability building.</li></ul>Partner with Clients<ul><li>Act as a trusted advisor for clients throughout their data transformation journey.</li><li>Understand business challenges and translate them into scalable technical solutions.</li><li>Lead technical workshops and architecture discussions.</li><li>Communicate effectively with both technical and executive stakeholders.</li></ul>Drive Innovation<ul><li>Stay at the forefront of Cloud, Data Engineering and AI technologies.</li><li>Promote engineering best practices and reusable frameworks.</li><li>Contribute to Artefact's internal communities, technical events and innovation initiatives.</li></ul>Your Profile<p>We're looking for passionate leaders who combine strong technical expertise with excellent communication and people management skills.</p><br>Technical Skills<ul><li>Strong experience designing and implementing modern Data Platforms.</li><li>Excellent knowledge of Python and SQL.</li><li>Strong experience with cloud ecosystems such as Google Cloud Platform, AWS and/or Microsoft Azure.</li><li>Experience with distributed data processing technologies including Spark, Beam or Databricks.</li><li>Expertise with orchestration tools such as Airflow or Composer.</li><li>Experience building CI/CD pipelines and Infrastructure as Code.</li><li>Solid understanding of Docker and Kubernetes.</li><li>Good knowledge of DevOps, DataOps and MLOps practices.</li><li>Experience with relational and cloud-native databases.</li><li>Understanding of API development and microservices architecture.</li></ul>Leadership Skills<ul><li>Proven experience leading Data Engineering teams.</li><li>Ability to mentor engineers and foster technical excellence.</li><li>Strong project management and delivery capabilities.</li><li>Ability to anticipate risks and make strategic technical decisions.</li><li>Excellent stakeholder management and communication skills.</li><li>Comfortable presenting complex technical topics to business audiences.</li></ul>Preferred Qualifications<ul><li>Engineering degree or Master's in Computer Science, Data Engineering or related field.</li><li>7+ years of experience in Data Engineering.</li><li>Previous experience leading teams in consulting or large-scale transformation projects.</li><li>Professional proficiency in English (French is a plus).</li></ul>What You'll Find at Artefact CasablancaImpactful International Projects<p>Work on large-scale Data &amp;amp; AI transformation programs for leading international organizations across multiple industries.</p><br>Cutting-Edge Technologies<p>Build modern cloud-native solutions using the latest technologies and engineering best practices.</p><br>Leadership Opportunities<p>Lead talented teams, shape technical strategy and influence major transformation programs.</p><br>Continuous Learning<p>Access technical certifications, internal academies, conferences and continuous learning opportunities with major cloud providers.</p><br>Fast Career Growth<p>Whether your ambition is technical expertise, people management or client leadership, Artefact offers clear and accelerated career paths.</p><br>A Collaborative Culture<p>Join an international community of passionate experts who believe in knowledge sharing, innovation and collective success.</p><br>Our Tech Stack<ul><li>Python</li><li>SQL</li><li>Apache Spark</li><li>Airflow / Composer</li><li>Google Cloud Platform (BigQuery, Dataflow, GKE, Composer, Cloud Storage)</li><li>AWS (EKS, Lambda, Glue, RDS, Redshift)</li><li>Microsoft Azure (Databricks, Data Factory, Synapse)</li><li>Docker</li><li>Kubernetes</li><li>Terraform</li><li>GitHub Actions / GitLab CI</li><li>Ansible</li><li>Redis</li><li>Kafka</li></ul>Why Join Artefact Casablanca?<p>Because you'll join one of the world's leading Data &amp;amp; AI consulting firms, work alongside exceptional engineers, tackle ambitious international projects and have the opportunity to shape the future of Data Engineering while accelerating your own career.</p><br><p><strong>Ready to build the future of Data &amp;amp; AI with us?</strong></p><br><p><strong>Join Artefact Casablanca.</strong></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>APM Terminals</p><br><br><br><br><br><br><br><br><br><br>At APM Terminals, a global leader in port and terminal operations, we enable global trade and drive sustainable growth. What drives us forward is a mindset of always improving — observing how work happens, identifying what creates value, and removing what gets in the way. We constantly look for smarter, simpler, and safer ways of operating. If you thrive in environments where people value learning and are committed to continuously improve daily operations, join us and be a part of our journey.<br>What We Can OfferAt APM Terminals, we foster a dynamic learning and training culture that empowers our employees to excel. Our commitment to improvement means every team member has the opportunity to develop their skills and advance their careers by continuously refining how we work. Experience a diverse, multinational workplace where your operational insights directly influence how we work.<br><ul><li>Work on a globally deployed data product that supports operational performance and decision making across APM Terminals’ network.</li><li>Collaborate with business, technology, data, and operational stakeholders in an international environment.</li><li>Contribute to the evolution of data, analytics, and emerging AI-driven capabilities that create measurable business value.</li><li>Develop your product ownership and data product expertise through continuous learning and collaboration.</li></ul>Key Responsibilities<ul><li>Define and communicate the vision, strategy, and roadmap for assigned data products.</li><li>Own and prioritize the product backlog, balancing business value, user needs, and technical requirements.</li><li>Translate business objectives into product capabilities, epics, user stories, acceptance criteria, and success metrics.</li><li>Partner with Data Engineers, Data Scientists, BI Developers, Architects, and business stakeholders to deliver scalable data solutions.</li><li>Drive data quality, governance, security, and compliance requirements across data products.</li><li>Monitor adoption, product performance, and business outcomes, driving continuous improvement through user feedback and insights.</li><li>Act as the primary bridge between business stakeholders and delivery teams, communicating progress, risks, priorities, and value realization.</li></ul>What We Are Looking For<ul><li>Continuous improvement mindset: we are looking for someone who brings a thoughtful improvement mindset—curious about how work gets done and motivated to make meaningful, sustainable improvements over time.</li><li>Leadership expectation: We are looking for people who consistently put customers first, lead by example with respect for people, deliver results with integrity, and drive continuous improvement by solving problems at the root, developing people, and raising standards every day.</li><li>A minimum Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, Analytics, Statistics, or a related field.</li><li>Minimum 3 years of Product Owner or Product Manager experience, with proven backlog management and prioritization capabilities.</li><li>Strong understanding of data architecture, data pipelines, analytics solutions, and modern data platforms.</li><li>Experience developing product roadmaps, managing stakeholders, and delivering data-driven products and services.</li><li>Ability to write epics, user stories, acceptance criteria, and measurable success metrics.</li><li>Working knowledge of Agile and Scrum methodologies.</li><li>Experience with Power BI or similar data visualization tools.</li><li>Exposure to Lean methodologies, terminal operations, TOS platforms, or operational KPI management is advantageous.</li><li>Comfortable working with global stakeholders and cross-functional teams to deliver product outcomes. This role will support the continued evolution and adoption of strategic data products across APM Terminals’ global network.</li></ul><br><p>#LIPOST</p><br><br><br><br><p><span><span>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.</span></span></p><br><br><br><p><span><span><span>We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing&nbsp; </span><span><span><span><span><span><span><span><span><span><span><span>accommodationrequests@maersk.com</span></span></span></span></span></span></span></span></span></span></span><span>.&nbsp;</span></span></span></p><br><br><br><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >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>

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Publication date :</strong> Sep 14, 2026, 12:00AM</p><br><br>Vidéo EVP<br>Déclaration de mission de l'entreprise<p>Join us at Orange Business!<br>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.<br>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 rôle<p><span>De formation supérieure en informatique vous avez une première expérience réussie d'au moins 3 ans en analyse et développement dans un environnement JAVA/JEE.</span></p><br><br><p><span>Vos missions principales seront les suivantes :</span><br><span>- Intervention sur l'ensemble des phases de développement d’un projet : analyse, spécification, conception, développement, intégration continue, tests unitaires et fonctionnels, documentation technique, revue de code.</span><br><span>- Déploiement, suivi de production, support technique aux utilisateurs métiers, maintenance corrective.</span><br><span>- Mise en oeuvre sur des projets en mode Agile Scrum, SAFe ou Kanban.</span><br></p><br><br>À propos de vous<p><span>De formation Bac+ 5, vous êtes doté d'un bon esprit d'équipe, d'un très bon relationnel, de fortes capacités d'adaptation et de solides compétences techniques avec au moins 3 années d'expériences sur du JAVA, Spring Boot, Angular, React et Git.</span><br></p><br><br><p><span>Des compétences additionnelles sur AWS, Jenkins, GitLab-CI, Sonar, Artifactory, NodeJS, Docker, Kubernetes, Redis, RabbitMQ, Camunda sont un plus.</span></p><br><br><p><br><span>Nous recherchons une personne autonome, ayant de bonnes capacités d'adaptation et d'analyse, curieuse et sachant être force de proposition.</span><br></p><br><br><p><span>La communication en français aussi bien à l'écrit ou à l'oral est obligatoire, la maîtrise de l'anglais technique est nécessaire, permettant de rédiger les livrables en anglais et de communiquer avec nos partenaires anglophones.</span></p><br><br><p>You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.</p><br><br>Informations supplémentaires<p><strong>• Global Opportunities:</strong> Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.<br><strong>• Flexible Work Environment:</strong> Flexible working hours and possibility to combine work from office and home (hybrid ways of working).<br><strong>• Professional Development:</strong> training programs and upskilling/re-skilling opportunities.<br><strong>• Career Growth:</strong> Internal growth and mobility opportunities within Orange.<br><strong>• Caring and Daring Culture:</strong> Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.<br><strong>• Reward Programs:</strong> Employee Referral Program, Change Maker Awards.</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, neurotype, 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"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p><font dir="auto" ><font dir="auto" >We are looking for a Senior Data Engineer to join our teams </font></font><strong><font dir="auto" ><font dir="auto" >in Rabat</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >Casablanca</font></font></strong><font dir="auto" ><font dir="auto" > and participate in the development and maintenance of our Data Warehouse solutions. The successful candidate will be responsible for the design, development, and implementation of data pipelines.</font></font></p> <p> <strong>Responsabilit s</strong> :</p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and deploy data pipelines for our Data solutions using PySpark, Azure Data Factory and Azure Databricks, ensuring data quality and reliability.</font></font></li> <li><font dir="auto" ><font dir="auto" >Optimize the performance of data processing and queries.</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating closely with the business teams to understand the requirements and functional needs.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in technology monitoring and propose continuous improvements to optimize Data Warehouse processes and solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure complete documentation of architectures, solutions and data flows.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li><font dir="auto" ><font dir="auto" >5 years or more of experience in developing Data solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent PySpark master.</font></font></li> <li><font dir="auto" ><font dir="auto" >Practical experience with Azure Data Factory and Azure Databricks.</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid understanding of distributed data processing concepts.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to solve problems independently and debug effectively.</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong communication and teamwork skills.</font></font></li> </ul> <p> <strong>Comp tences appr ci es</strong> :</p> <ul> <li><font dir="auto" ><font dir="auto" >Experience with other Data Warehouse tools such as Hadoop, Hive, Kafka, etc.</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in Power BI for data visualization.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of Terraform for infrastructure automation.</font></font></li> <li><font dir="auto" ><font dir="auto" >Familiarity with Power Apps for business application development.</font></font></li></ul></div><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>DXC – CDG</strong> stands out for a culture strongly focused on <strong>performance and competitiveness</strong>, where ambition, challenge and customer orientation shape priorities. This dynamic is balanced by a <strong>collaborative culture</strong>, fostering trust, empowerment and close managerial support. It also integrates an <strong>innovation dimension</strong>, encouraging initiative, adaptability and experimentation. Finally, a well-established <strong>organizational culture</strong> provides structure, ensuring process rigor, reliability and operational efficiency. </p><br><br> <br> Job : <p>Responsibilities</p><br><br><ul><li>Design and manage complex end-to-end data architectures (ingestion, transformation, exposure).</li><li>Participate in high-value projects combining Data Engineering, Data Management, and data governance, with the ability to communicate with both technical teams and business stakeholders.</li><li>Act as a technical reference for junior/experienced profiles.</li><li>Participate in estimations and the writing of technical proposals.</li><li>Contribute to lessons learned, templates, and best practices for the Data capability.</li><li>Define and enforce data governance standards within projects (data quality, data lineage, master data management).</li></ul> <br> <br> Required profile : <p>Profile sought</p><br><br><ul><li>Master's degree in Engineering School, Data, Information Systems, or equivalent.</li><li>8 to 12 years of experience in Data projects in a client-facing context.</li><li>Proficiency in Data frameworks and tools: dbt, Spark, Airflow, Kafka, or equivalents.</li><li>Experience with cloud platforms: Azure (Data Factory, Synapse, Fabric), AWS, or GCP.</li><li>Certifications in Cloud Data, Databricks, Snowflake, or others are appreciated.</li><li>Ability to translate data challenges into business value.</li><li>Nice to Have: Experience in data governance: Informatica, Purview, Collibra, or equivalents.</li><li>Nice to Have: Knowledge of repositories and standards: DAMA-DMBOK appreciated.</li><li>Nice to Have: Experience in MDM (Master Data Management) and Data Quality with tools.</li><li>Languages: Fluent French and English.</li></ul> <br><br> </div>

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div> <div> <div> <u> <b>Mission</b> </u> </div> <div> <p><font dir="auto" ><font dir="auto" >We are looking for a Data Specialist, reporting to the HR Shared Services department, whose responsibilities will include:</font></font></p> <p> </p> <ul> <li><font dir="auto" ><font dir="auto" >Collect, consolidate and ensure the reliability of HR data from different sources</font></font></li> <li><font dir="auto" ><font dir="auto" >Analyze the key indicators</font></font></li> <li><font dir="auto" ><font dir="auto" >Build automated and interactive dashboards</font></font></li> <li><font dir="auto" ><font dir="auto" >Automating HR processes</font></font></li> <li><font dir="auto" ><font dir="auto" >Identify trends, propose predictive analyses</font></font></li> <li><font dir="auto" ><font dir="auto" >Supporting HR teams in interpreting data and making decisions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in HR digital transformation projects (implementation of tools, data migration, improvement of reference data).</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensuring the quality, confidentiality and security of processed HR data</font></font></li> </ul> </div> </div> <div> <div> <u> <b><font dir="auto" ><font dir="auto" >Search Profile</font></font></b> </u> </div> <div> <p><font dir="auto" ><font dir="auto" >A Master's degree (Bac+5) in Mathematics or Statistics with initial experience in data analysis.</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Excellent mastery of computer tools and language;</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in development languages ​​(Python);</font></font></li> <li><font dir="auto" ><font dir="auto" >Ap tences in AI;</font></font></li> <li><font dir="auto" ><font dir="auto" >Good command of data analysis techniques and statistical methodologies;</font></font></li> <li><font dir="auto" ><font dir="auto" >Good level of English;</font></font></li> <li><font dir="auto" ><font dir="auto" >Organization, rigor and ease in writing.</font></font></li> </ul> </div> </div> </div></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p><font dir="auto" ><font dir="auto" >We are looking for a GCP (Google Cloud Platform) Data Engineer to join our rapidly growing team.</font></font></p> <p><font dir="auto" ><font dir="auto" >In this key role, you will be responsible for the management, optimization and implementation of data solutions on GCP, thus contributing to strategic digital transformation projects.</font></font></p> <p><font dir="auto" ><font dir="auto" >You will work closely with architects, data scientists and development teams to build scalable, secure and high-performance data architectures.</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Your responsibilities:</font></font></strong> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Design and deployment of cloud solutions</font></font></strong><font dir="auto" ><font dir="auto" > : Design, deploy and maintain robust data solutions on Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.).</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data pipeline management</font></font></strong><font dir="auto" ><font dir="auto" > : Setting up and automating data integration, processing and transformation pipelines using GCP tools and associated technologies.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Performance optimization</font></font></strong><font dir="auto" ><font dir="auto" > : Ensuring the performance, scalability and security of data infrastructures on GCP.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Collaboration and support</font></font></strong><font dir="auto" ><font dir="auto" > : Work closely with internal teams to understand business needs and provide tailored data solutions. Provide technical support to development and data science teams.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Technology watch</font></font></strong><font dir="auto" ><font dir="auto" > : Keeping informed of the latest trends and innovations on Google Cloud, particularly in the field of data management and machine learning.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data quality management</font></font></strong><font dir="auto" ><font dir="auto" > : Implement processes to ensure data quality, integrity, and security within the GCP infrastructure.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Automation and infrastructure as code</font></font></strong><font dir="auto" ><font dir="auto" > : Use tools like Terraform, Cloud Deployment Manager to automate the management of GCP infrastructure.</font></font></li> </ul> <p> </p></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><font dir="auto" ><font dir="auto" >Qualifications </font></font></p><div> <p> </p> <ul> <li><font dir="auto" ><font dir="auto" >Knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >GCP</font></font></strong><font dir="auto" ><font dir="auto" > (Google Cloud Platform) technologies such as BigQuery, Dataflow, Cloud Storage, Cloud Functions, etc.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Proven skill in </font></font><strong><font dir="auto" ><font dir="auto" >Python</font></font></strong><font dir="auto" ><font dir="auto" > for developing data pipelines, analyzing and manipulating data.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Experience with data visualization tools such as Looker, for creating dashboards and reports.</font></font></li> </ul> <ul> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >In-depth knowledge of SQL</font></font></strong><font dir="auto" ><font dir="auto" > concepts </font><font dir="auto" >and their practical implementation.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Ability to work with large volumes of data and optimize query performance.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Understanding of distributed data architectures and real-time data processing concepts.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Excellent written and oral </font></font><strong><font dir="auto" ><font dir="auto" >communication</font></font></strong><font dir="auto" ><font dir="auto" > : Ability to produce high-quality deliverables and reports.</font></font></li> </ul> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Analytical mindset</font></font></strong><font dir="auto" ><font dir="auto" > and continuous improvement: Ability to evaluate code and its impacts, as well as to question existing solutions in order to improve them.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Ability to </font></font><strong><font dir="auto" ><font dir="auto" >step back and reflect</font></font></strong><font dir="auto" ><font dir="auto" > : The ability to evaluate problems objectively and propose solutions for improvement.</font></font></li> </ul> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Team spirit</font></font></strong><font dir="auto" ><font dir="auto" > : Ability to collaborate effectively with team members to achieve common goals.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >My understanding of Agilit concepts ( </font></font><strong><font dir="auto" ><font dir="auto" >Scrum</font></font></strong><font dir="auto" ><font dir="auto" > , Sprint Planning, Backlog).</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Keen attention to detail and rigor in the design and implementation of data solutions.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >PROFILE SOUGHT:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >A Master's degree (Bac+5) from an engineering school or equivalent university qualification with a specialization in computer science, or equivalent significant experience.</font></font></li> </ul> <ul> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >Over 7 years</font></font></strong><font dir="auto" ><font dir="auto" > of experience </font><font dir="auto" >in </font></font><strong><font dir="auto" ><font dir="auto" >GCP</font></font></strong> </li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Experience in the retail or mass distribution sector would be an asset.</font></font></li></ul></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &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>

<p>OFFRE DE STAGE</p><p>&nbsp;</p><p>Data Analyst &amp; Intelligence Artificielle</p><p>&nbsp;</p><p>INFORMATIONS SUR LE STAGE</p><p>&nbsp;</p><p>**Poste :** Stagiaire Data Analyst &amp; Intelligence Artificielle</p><p>**Type :** Stage d’apprentissage</p><p>**Durée :** 1 mois minimum</p><p>**Rémunération :** Stage non rémunéré</p><p>**Lieu :** Jbel Gueliz, 40000</p><p>**Date de début :** Immédiate</p><p>À PROPOS DU STAGE</p><p>Chez nous recherchons un(e) **stagiaire Data Analyst &amp; Intelligence Artificielle**, curieux(se), analytique et passionné(e) par les données et les nouvelles technologies.</p><p>&nbsp;</p><p>Aujourd’hui, les données jouent un rôle essentiel dans la prise de décision. Associées à l’Intelligence Artificielle, elles permettent d’identifier des tendances, d’automatiser certaines tâches, de produire des analyses plus rapidement et de transformer les données en informations utiles.</p><p>&nbsp;</p><p>Ce stage d’apprentissage vous permettra de travailler sur des données réelles, de développer vos compétences analytiques et d’apprendre à utiliser **l’IA comme un véritable outil d’analyse et de productivité**.</p><p>&nbsp;</p><p>VOS MISSIONS</p><p>&nbsp;</p><p>Analyse de données &amp; Reporting</p><p>&nbsp;</p><p>* Participer à la collecte, au nettoyage et à l’organisation des données.</p><p>* Analyser des données afin d’identifier des tendances et des informations pertinentes.</p><p>* Préparer des tableaux de suivi et des reportings.</p><p>* Créer et mettre à jour des tableaux de bord.</p><p>* Participer à la préparation de rapports destinés à faciliter la prise de décision.</p><p>* Contrôler la qualité et la cohérence des données.</p><p>* Transformer des données brutes en informations claires et exploitables.</p><p>* Présenter les résultats de manière simple, structurée et compréhensible.</p><p>&nbsp;</p><p>Intelligence Artificielle &amp; Data</p><p>&nbsp;</p><p>* Utiliser des outils d’Intelligence Artificielle pour faciliter l’analyse des données.</p><p>* Exploiter **ChatGPT et d’autres outils d’IA** pour assister la recherche, l’analyse et l’interprétation des données.</p><p>* Utiliser l’IA pour identifier des tendances, générer des hypothèses et accélérer certaines analyses.</p><p>* Participer à l’automatisation de tâches répétitives liées au traitement des données.</p><p>* Explorer les possibilités de l’IA dans la création de rapports et de dashboards.</p><p>* Proposer des solutions permettant d’améliorer la qualité, l’organisation et l’exploitation des données.</p><p>* Expérimenter de nouvelles méthodes d’analyse combinant **Data Analytics et Intelligence Artificielle**.</p><p>&nbsp;</p><p>PROFIL RECHERCHÉ</p><p>&nbsp;</p><p>Nous recherchons une personne **analytique, curieuse, rigoureuse et désireuse d’apprendre**.</p><p>&nbsp;</p><p>Vous êtes idéalement :</p><p>&nbsp;</p><p>* Étudiant(e) en **Data Analytics, Data Science, Informatique, Statistiques, Économie, Finance, Gestion** ou domaine similaire.</p><p>* À l’aise avec les chiffres et l’analyse.</p><p>* Bonne maîtrise ou connaissances d’**Excel**.</p><p>* Des connaissances en **Power BI, SQL, Python ou autres outils d’analyse** constituent un atout.</p><p>* Intéressé(e) par l’Intelligence Artificielle et les nouvelles technologies.</p><p>* Familiarisé(e) avec **ChatGPT ou les outils d’IA**.</p><p>* Capable d’utiliser l’IA comme outil d’analyse, de recherche et de productivité.</p><p>* Rigoureux(se), organisé(e) et attentif(ve) aux détails.</p><p>* Doté(e) d’un esprit logique et d’une capacité à résoudre des problèmes.</p><p>* Autonome, motivé(e) et capable de prendre des initiatives.</p><p>* À l’aise en français ; la maîtrise de l’anglais est un atout.</p><p>&nbsp;</p><p>CE QUE VOUS ALLEZ DÉVELOPPER</p><p>&nbsp;</p><p>Ce stage vous permettra de développer des compétences pratiques en :</p><p>&nbsp;</p><p>**Data Analysis • Excel • Power BI • SQL • Reporting • Data Visualization • Dashboards • Data Cleaning • Business Intelligence • Intelligence Artificielle • Automatisation**</p><p>&nbsp;</p><p>Vous aurez l’opportunité de travailler sur des problématiques concrètes, de renforcer votre capacité d’analyse et d’apprendre à transformer les données en **insights utiles à la prise de décision**.</p><p>&nbsp;</p><p>Vous découvrirez également comment combiner les compétences traditionnelles du **Data Analyst** avec les nouvelles possibilités offertes par l’**Intelligence Artificielle**.</p><p>&nbsp;</p><p>COMMENT POSTULER ?</p><p>&nbsp;</p><p>Vous êtes passionné(e) par les données, l’analyse et les nouvelles technologies ?</p><p>&nbsp;</p><p>Vous souhaitez développer votre expérience dans un environnement combinant **Data Analytics et Intelligence Artificielle** ?</p>

<p><font dir="auto" ><font dir="auto" >In this role, your main responsibilities will be: Designing and developing robust and automated data pipelines. Collecting and integrating data from various sources. Designing and maintaining ETL/ELT processes. Developing and optimizing SQL/BigQuery queries. Structuring datasets and models for BI and analytics. Designing, developing, and maintaining Power Automate workflows. Developing processes and automations in Python. Ensuring data quality, availability, and traceability. Monitoring pipelines and resolving data processing incidents. Optimizing BigQuery/GCP performance and costs. Implementing best practices for data security and access management. Collaborate closely with Data Analysts and business teams to provide reliable and easily usable datasets in Power BI. Document the architectures, flows and processes developed.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) required. Rigorous, autonomous, with the ability to solve technical problems, an interest in optimization and automation, strong communication skills, and the ability to work with both technical and functional profiles. Experience: 1-3 years. Skills: Essential: Strong SQL skills. Practical experience with Google Cloud Platform (GCP). Strong BigQuery skills. Proficiency in Python applied to data processing and automation. Good knowledge of Power Automate for workflow design and automation. Understanding of data architectures and ETL/ELT principles. Minimum 3 years of experience in Data Engineering or similar roles. Desirable: Experience with certain GCP services such as Cloud Storage, Cloud Functions/Cloud Run, Pub/Sub, Dataflow, or Composer. Knowledge of partitioning, clustering, and BigQuery query optimization issues. Experience with APIs and various data ingestion methods. Knowledge of Git and CI/CD. Knowledge of Power BI is appreciated to understand the needs of the reporting layer. Understanding of Data Governance, IAM, and GCP security. Knowledge of the Microsoft Power Platform ecosystem, particularly Power Apps, Power BI, and Dataverse.</font></font></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p><strong>In this role, your main tasks will be as follows:</strong></p><br><br><p><br>- Ensure the integrity of master data in Stellantis' key systems<br>- Ensure that all pending master data update requests are directed to the correct contact<br>- Maintain OBT master data processes to support data quality<br>- Develop and document processes with other functional data managers to support ongoing maintenance and data integrity<br>- Provide assistance in resolving data quality issues<br>- Be responsible for updating master data training documents<br>- Promote continuous improvement of the master data troubleshooting process<br>- Participate remotely in the "war room" for different markets to gather feedback on troubleshooting<br>- Assist and train on the application and implementation of procedures, standards, and guidelines on data ownership<br>- Ensure OBT troubleshooting is followed up by SP and Stellantis operations<br>- Update PowerBi data analysis with the help of the IT team if necessary</p><br><br> <br> Required profile : <p><strong>Degree:</strong> Master's degree (Bac+5)</p><br><br><p><strong>Experience:</strong> 1 to 3 years</p><br><br><p><strong>Skills:</strong></p><br><br><p><strong>IT skills to work independently on IT systems<br>Basic knowledge of logistics<br>Ability to work with complex datasets in an environment with integrated and external systems<br>Use of Microsoft Office</strong></p><br><br><p><strong>Strong problem-solving ability<br>Ability to work with a variety of systems<br>Ability to meet deadlines, prioritize workload, and achieve effective results in a dynamic and changing environment</strong></p><br><br><p>• Data collection and processing<br>• KPI analysis and reporting<br>• Eliade<br>• Eole<br>• Excel<br>• OBT<br>• Power BI<br>• End-to-end outbound process<br>• PO/Rate ticket management<br>• Stakeholder coordination</p><br><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The team<p><span>One of the most versatile teams of Artefact, our growing Data &amp;amp; Analytics team are present in many aspects of our data consulting projects: data collection, processing, and visualisation; but also giving insights and inputs on the business and digital media aspects.<br></span></p><br><p><span>Half of the team also works as the master of data solutions for our clients: dashboarding, business intelligence or web analysis.</span></p><br>&amp;nbsp;Mission<p><span>As a Data analyst, you will be conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data. It is up to you to extract valuable insights from our clients’ marketing-related data sources and to design dashboards for marketing decision-making while taking into account the business needs.</span></p><br><p><span>Depends on the mission(s), you might also find yourself accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.</span></p><br><p>&amp;nbsp;</p><br>Desirable skills<p><span>If:<br></span></p><br><ul><li><span>You have experience or have knowledge in data driven environment<br></span></li><li><span>Master of Data collection and data visualisation tools, programming in SQL or Python are your jam;<br></span></li><li><span>Some of these speak to you: Cloud technologies, API connection, ETL, Advertising tool…</span></li></ul><p><span>Or you are interested in learning those skills and use it in your work, contact us!</span></p><br><p>&amp;nbsp;</p><br>Why should you join us<ul><li>Artefact is the place to be: come and build the future of data and marketing</li><li>Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone.</li><li>Action: We make things rather than telling people how to make them.</li><li>Collaboration: We believe in bringing talented people together, in winning together, and in learning from each other.</li></ul><p><strong>Come join us!</strong></p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Senior Data Engineer, you will be responsible for designing, coding, testing, and deploying data ingestion, processing, modeling, and valorization pipelines, so that this data can be restored and visualized through web applications, using modern technologies.</p><p>Your main missions:</p><ul><li>Work on Data and Cloud environments, particularly GCP.</li><li>Exploit BigQuery and advanced SQL on large volumes of data.</li><li>Appropriation of new LLM technologies in its development routine</li><li>Manage real-time flows with Pub/Sub.</li><li>Automate data workflows via GitLab CI/CD and Docker Compose.</li><li>Version code with Git.</li><li>Collaborate in an agile environment (Scrum).</li><li>Data modeling and preparation: design optimized pipelines in BigQuery, ensuring the quality, reliability, and consistency of analyses.</li><li>Meet deadlines while maintaining high standards of quality and excellence</li><li>Communicate clearly and effectively in writing and orally in French for fluid interactions with the business and teams</li><li>Analyze situations and propose appropriate solutions while identifying areas for improvement</li><li>Actively collaborate with team members, share knowledge and foster a collective spirit to achieve common goals</li><li>Apply a spirit of continuous improvement to optimize practices and results</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>For this position, you will need:</p><ul><li>Mastery of DBT for data transformation and orchestration.</li><li>Significant experience in data modeling and implementation of semantic layers with Looker/LookML</li><li>Knowledge of machine learning and Agentic</li><li>Experience with the Google suite.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description: As a GCP Data Engineer, you will report to the data management team and will be responsible for: Managing the evolutionary and corrective maintenance of the various technical modules that operate the project's data platform. Integrating external data such as files, web service calls, or TOPIC consumption (WebMethod Universal Messenger and Kafka). Configurations on Terraform. SFTP server. IAM security. Management of a specific HTML/Java portal. ELT/KPI data pipeline via SQL. Managing the platform's runtime: Monitoring daily processes and resolving anomalies. Performance monitoring. Managing the obsolescence of the technologies used. Technology watch and roadmap tracking.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Education: Master's degree (Bac+5) in Computer Science or equivalent field. You have at least 3 years of experience as a Data Engineer on Google Cloud Platform. You must be able to integrate well into an Agile team, demonstrating strong listening, communication, and cooperation skills. You must possess analytical and synthesis skills, as well as excellent writing skills. Knowledge of the retail environment (sales/merchandising back office/supply chain back office/marketing) is preferred.</font></font></p><p></p></section>

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