Database Developer Jobs
1366 Jobs Found
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <p><font dir="auto" ><font dir="auto" >As a Java Kafka Data Engineer, your main responsibilities will be as follows:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and maintain solutions for processing and managing large datasets on distributed architectures.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the implementation of data pipelines using Kafka for real-time data integration and distribution.</font></font></li> <li><font dir="auto" ><font dir="auto" >Develop Java applications for streaming and batch data processing.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the implementation of processes for optimizing and automating data flows.</font></font></li> <li><font dir="auto" ><font dir="auto" >To guarantee the quality, performance and scalability of applications by producing reliable and efficient code.</font></font></li> <li><font dir="auto" ><font dir="auto" >Working closely with the Data and DevOps teams to design suitable architectures and optimize system performance.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the evolution of the data infrastructure by providing continuous improvements and integrating new technologies.</font></font></li> <li><font dir="auto" ><font dir="auto" >Provide support and resolution of technical incidents in production related to data processing.</font></font></li> <li><font dir="auto" ><font dir="auto" >Write the technical documentation and specifications for the solutions implemented.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >Required skills:</font></font></strong> </p> <p> <strong>Comp tences techniques :</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Mastery of the Java language and best development practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid experience with Kafka (topic management, producers, consumers, Kafka Streams, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of distributed data architecture concepts.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with data processing frameworks (e.g., Apache Spark, Flink, etc.) is a plus.</font></font></li> <li>Ma trise des bases de donn es SQL et NoSQL (ex : PostgreSQL, MongoDB, Cassandra, etc.).</li> <li><font dir="auto" ><font dir="auto" >Knowledge of continuous integration tools and DevOps practices (Docker, Kubernetes, CI/CD).</font></font></li> <li><font dir="auto" ><font dir="auto" >Good understanding of distributed systems and the challenges of scalability and high availability.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of big data and cloud computing (AWS, GCP, Azure) would be a plus.</font></font></li> </ul> <p> <strong>Comp tences non techniques :</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Ability to work in a team and collaborate with different technical profiles (data scientists, devops, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Autonomy and rigor in the management of tasks and projects.</font></font></li> <li><font dir="auto" ><font dir="auto" >Good analytical skills and ability to solve complex problems.</font></font></li> <li><font dir="auto" ><font dir="auto" >A sense of innovation and curiosity for new technologies.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent communication.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong><font dir="auto" ><font dir="auto" >Search profile:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >You have a degree from an engineering school or a university degree in computer science, with a specialization in data technologies.</font></font></li> <li><font dir="auto" ><font dir="auto" >You have significant experience with a minimum of 3-5 years in Java development and data flow management systems, ideally with Kafka.</font></font></li> <li><font dir="auto" ><font dir="auto" >You have already worked in large-scale production environments and are comfortable with performance and scalability issues.</font></font></li></ul></div><p></p></section>
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<span><b>Lear For You</b> <br>
</span><p>We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because <strong>we want to be more for you.</strong></p><br>
<p>A path to a better career. A better future.</p><br>
<p>Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we’re named one of the World’s Most Admired Companies.</p><br>
<p>They’re the secret to our success—empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.</p><br>
<p>Are you ready for a better career? A better future?</p><br><br><br><b>Job Description</b> <br><p><span><strong>Location : Rabat Technopolis Tech Center</strong></span></p><br>
<p>To develop the trim cover to the customers Design Intent, STO, aligned to the program cost, timing and given Plant feasibility. Work closely with the Trim Engineer and JIT team, support internal customer reviews, verify trim content aligns to Master Pattern drawing and BOM’s. guarantee that the product is complaint, innovative (where required), robust and feasible for production assembly and methods.</p><br> <ul>
<li>Provide new and updated technical package: Accumark files / DXFs/report / drawings</li>
<li>Report to the Section Leader, ensuring Safe Working Practices.</li>
<li>Support the team with all Accumark - PDS, CATIA/NX duties.</li>
<li>Provide the Team all the needed digitalizing and plotting of the patterns</li>
<li>Ensure that the package created and shared are made within corporate standards.</li>
<li>Feedback any feasibility concerns with patterns, data.</li>
<li>Respect the timelines</li>
<li>Carry out 5s audits</li>
</ul><br><br><b>Experience Requirements</b> <br><ul>
<li>Bac + 2 technical degree</li>
<li>Good knowledge of the sewing & Trimming process</li>
<li>Expert in using different sewing machines, joining, twining, decking and piping</li>
<li>Good knowledge of TRIM assembly process.</li>
<li>Have outstanding Craftsmanship with no feasibility issues.</li>
<li>Knowledge in PDS or any CAD software</li>
<li>Good knowledge of Material compositions and utilization.</li>
<li>Good analysis mindset & time management.</li>
<li>Can work in a challenging TDC environment.</li>
</ul><br><br><b>Languages</b> <br><ul>
<li>Good presentation and communication skills.</li>
<li>Intermediate / Good English & French.</li>
</ul><br><br><b>Equal Opportunity Employer</b> <br>
<p><span><em>Lear Corporation is committed to fair, merit‑based employment practices and equal opportunity.</em></span></p><br>
<p><span><em>We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.</em></span></p><br>
<p><em><span>Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.</span></em></p><br><br><br><br>
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<span>Job Summary We are looking for a Data Loss Prevention (DLP) Implementation Consultant to deploy, configure, and implement an enterprise Data Loss Prevention solution.<br> The consultant will be responsible for installing and activating the DLP platform, configuring security policies, deploying endpoint agents for Windows and macOS devices, and ensuring the solution is operational and aligned with customer security requirements.<br> Key Responsibilities Activate and configure DLP software licenses.<br> Install and deploy the DLP Management Server.<br> Configure the DLP Server according to best practices.<br> Design, implement, and fine-tune DLP policies.<br> Configure policy rules for data protection and compliance.<br> Deploy DLP endpoint agents on Windows and macOS devices.<br> Validate agent communication with the DLP server.<br> Perform system testing and troubleshooting.<br> Monitor deployment progress and resolve implementation issues.<br> Collaborate with customer IT and security teams during implementation.<br> Prepare deployment documentation and configuration guides.<br> Conduct knowledge transfer sessions for customer administrators.<br> Support UAT and go-live activities.<br> Ensure implementation follows vendor and security best practices.<br> Required Qualifications Bachelor's degree in Computer Science, Information Security, or a related field.<br> 3+ years of experience implementing enterprise DLP solutions.<br> Experience deploying DLP servers and endpoint agents.<br> Knowledge of Windows and macOS administration.<br> Experience creating and managing DLP policies.<br> Understanding of endpoint security and data protection concepts.<br> Familiarity with Active Directory and Group Policy.<br> Strong troubleshooting and analytical skills.<br> Excellent communication and documentation skills.<br> Preferred Qualifications Experience with one or more DLP solutions such as: Forcepoint DLP Symantec DLP (Broadcom) Trellix/McAfee DLP Microsoft Purview DLP Digital Guardian CoSoSys Endpoint Protector Security certifications such as Security+, CISSP, or vendor-specific certifications.<br> Experience with SIEM and endpoint security solutions.<br> Experience with data classification and compliance frameworks (GDPR, ISO 27001, HIPAA, PCI-DSS).<br> Soft Skills Customer-facing communication skills.<br> Strong documentation abilities.<br> Problem-solving mindset.<br> Ability to work independently.<br> Strong organizational skills.<br> Team collaboration.<br></span> </div>
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<br> Company culture : <p><strong>DXC – CDG</strong> stands out for a culture strongly focused on <strong>performance and competitiveness</strong>, where ambition, challenge and customer orientation shape priorities. This dynamic is balanced by a <strong>collaborative culture</strong>, fostering trust, empowerment and close managerial support. It also integrates an <strong>innovation dimension</strong>, encouraging initiative, adaptability and experimentation. Finally, a well-established <strong>organizational culture</strong> provides structure, ensuring process rigor, reliability and operational efficiency.
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<br> Job : <p>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 & Compliance Controls</p><br><br><p>Configure and manage:<br>Sensitivity Labels<br>Retention Labels & 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 & Quality Management</p><br><br><p>Implement controls for:<br>Duplicate file detection & 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 & 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 & 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 & Operating Model</p><br><br><p>Work closely with:<br>Security & 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 & 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 & Data Governance)<br>Hands-on expertise in:<br>Sensitivity & Retention Labels<br>DLP policies<br>Records Management<br>Copilot Readiness<br>Scripting & Automation:<br>PowerShell (mandatory)<br>Microsoft Graph API<br>Power Automate</p><br><br><p><br>Governance & 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 & 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&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 & Power Automate Flows<br>Compliance Monitoring Dashboards<br>Governance Runbooks & 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>
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<p> Ce que nos collaborateurs aiment le plus chez nous <span>❤</span> : Pour consulter leurs avis certifiés </p><br><br>
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<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>
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<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> </li></ul> <br><br> </div>
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<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 </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>. </span></span></span></p><br><br><br><br><br><br> </div>
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<p>&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>&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>&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>&nbsp;</span><strong>Manager Data Engineering</strong>, you will play a strategic role in delivering large-scale Data &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; 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; 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; 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; AI with us?</strong></p><br><p><strong>Join Artefact Casablanca.</strong></p><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description As a 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 & Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB). Ops & 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>
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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.
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<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>
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<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 & 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.
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<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.
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p><font dir="auto" ><font dir="auto" >We are looking for a Senior Data Engineer to join our teams </font></font><strong><font dir="auto" ><font dir="auto" >in Rabat</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >Casablanca</font></font></strong><font dir="auto" ><font dir="auto" > and participate in the development and maintenance of our Data Warehouse solutions. The successful candidate will be responsible for the design, development, and implementation of data pipelines.</font></font></p> <p> <strong>Responsabilit s</strong> :</p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and deploy data pipelines for our Data solutions using PySpark, Azure Data Factory and Azure Databricks, ensuring data quality and reliability.</font></font></li> <li><font dir="auto" ><font dir="auto" >Optimize the performance of data processing and queries.</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating closely with the business teams to understand the requirements and functional needs.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in technology monitoring and propose continuous improvements to optimize Data Warehouse processes and solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure complete documentation of architectures, solutions and data flows.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li><font dir="auto" ><font dir="auto" >5 years or more of experience in developing Data solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent PySpark master.</font></font></li> <li><font dir="auto" ><font dir="auto" >Practical experience with Azure Data Factory and Azure Databricks.</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid understanding of distributed data processing concepts.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to solve problems independently and debug effectively.</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong communication and teamwork skills.</font></font></li> </ul> <p> <strong>Comp tences appr ci es</strong> :</p> <ul> <li><font dir="auto" ><font dir="auto" >Experience with other Data Warehouse tools such as Hadoop, Hive, Kafka, etc.</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in Power BI for data visualization.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of Terraform for infrastructure automation.</font></font></li> <li><font dir="auto" ><font dir="auto" >Familiarity with Power Apps for business application development.</font></font></li></ul></div><p></p></section>
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<br> Company culture : <p><strong>DXC – CDG</strong> stands out for a culture strongly focused on <strong>performance and competitiveness</strong>, where ambition, challenge and customer orientation shape priorities. This dynamic is balanced by a <strong>collaborative culture</strong>, fostering trust, empowerment and close managerial support. It also integrates an <strong>innovation dimension</strong>, encouraging initiative, adaptability and experimentation. Finally, a well-established <strong>organizational culture</strong> provides structure, ensuring process rigor, reliability and operational efficiency.
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<br> Job : <p>Responsibilities</p><br><br><ul><li>Design and manage complex end-to-end data architectures (ingestion, transformation, exposure).</li><li>Participate in high-value projects combining Data Engineering, Data Management, and data governance, with the ability to communicate with both technical teams and business stakeholders.</li><li>Act as a technical reference for junior/experienced profiles.</li><li>Participate in estimations and the writing of technical proposals.</li><li>Contribute to lessons learned, templates, and best practices for the Data capability.</li><li>Define and enforce data governance standards within projects (data quality, data lineage, master data management).</li></ul> <br> <br> Required profile : <p>Profile sought</p><br><br><ul><li>Master's degree in Engineering School, Data, Information Systems, or equivalent.</li><li>8 to 12 years of experience in Data projects in a client-facing context.</li><li>Proficiency in Data frameworks and tools: dbt, Spark, Airflow, Kafka, or equivalents.</li><li>Experience with cloud platforms: Azure (Data Factory, Synapse, Fabric), AWS, or GCP.</li><li>Certifications in Cloud Data, Databricks, Snowflake, or others are appreciated.</li><li>Ability to translate data challenges into business value.</li><li>Nice to Have: Experience in data governance: Informatica, Purview, Collibra, or equivalents.</li><li>Nice to Have: Knowledge of repositories and standards: DAMA-DMBOK appreciated.</li><li>Nice to Have: Experience in MDM (Master Data Management) and Data Quality with tools.</li><li>Languages: Fluent French and English.</li></ul> <br><br> </div>
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<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 à 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 à l'amélioration continue des processus d'analyse.<br></p><br><p>Réaliser une veille technologique autour des solutions Data & 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 & Responsibilities</p><div class="paragraph"><div> <div> <div> <u> <b>Mission</b> </u>
</div> <div> <p><font dir="auto" ><font dir="auto" >We are looking for a Data Specialist, reporting to the HR Shared Services department, whose responsibilities will include:</font></font></p> <p> </p> <ul> <li><font dir="auto" ><font dir="auto" >Collect, consolidate and ensure the reliability of HR data from different sources</font></font></li> <li><font dir="auto" ><font dir="auto" >Analyze the key indicators</font></font></li> <li><font dir="auto" ><font dir="auto" >Build automated and interactive dashboards</font></font></li> <li><font dir="auto" ><font dir="auto" >Automating HR processes</font></font></li> <li><font dir="auto" ><font dir="auto" >Identify trends, propose predictive analyses</font></font></li> <li><font dir="auto" ><font dir="auto" >Supporting HR teams in interpreting data and making decisions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in HR digital transformation projects (implementation of tools, data migration, improvement of reference data).</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensuring the quality, confidentiality and security of processed HR data</font></font></li> </ul> </div> </div> <div> <div> <u> <b><font dir="auto" ><font dir="auto" >Search Profile</font></font></b> </u>
</div> <div> <p><font dir="auto" ><font dir="auto" >A Master's degree (Bac+5) in Mathematics or Statistics with initial experience in data analysis.</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Excellent mastery of computer tools and language;</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in development languages (Python);</font></font></li> <li><font dir="auto" ><font dir="auto" >Ap tences in AI;</font></font></li> <li><font dir="auto" ><font dir="auto" >Good command of data analysis techniques and statistical methodologies;</font></font></li> <li><font dir="auto" ><font dir="auto" >Good level of English;</font></font></li> <li><font dir="auto" ><font dir="auto" >Organization, rigor and ease in writing.</font></font></li> </ul> </div> </div> </div></div></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p><font dir="auto" ><font dir="auto" >We are looking for a GCP (Google Cloud Platform) Data Engineer to join our rapidly growing team.</font></font></p> <p><font dir="auto" ><font dir="auto" >In this key role, you will be responsible for the management, optimization and implementation of data solutions on GCP, thus contributing to strategic digital transformation projects.</font></font></p> <p><font dir="auto" ><font dir="auto" >You will work closely with architects, data scientists and development teams to build scalable, secure and high-performance data architectures.</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Your responsibilities:</font></font></strong> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Design and deployment of cloud solutions</font></font></strong><font dir="auto" ><font dir="auto" > : Design, deploy and maintain robust data solutions on Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.).</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data pipeline management</font></font></strong><font dir="auto" ><font dir="auto" > : Setting up and automating data integration, processing and transformation pipelines using GCP tools and associated technologies.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Performance optimization</font></font></strong><font dir="auto" ><font dir="auto" > : Ensuring the performance, scalability and security of data infrastructures on GCP.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Collaboration and support</font></font></strong><font dir="auto" ><font dir="auto" > : Work closely with internal teams to understand business needs and provide tailored data solutions. Provide technical support to development and data science teams.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Technology watch</font></font></strong><font dir="auto" ><font dir="auto" > : Keeping informed of the latest trends and innovations on Google Cloud, particularly in the field of data management and machine learning.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data quality management</font></font></strong><font dir="auto" ><font dir="auto" > : Implement processes to ensure data quality, integrity, and security within the GCP infrastructure.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Automation and infrastructure as code</font></font></strong><font dir="auto" ><font dir="auto" > : Use tools like Terraform, Cloud Deployment Manager to automate the management of GCP infrastructure.</font></font></li> </ul> <p> </p></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><font dir="auto" ><font dir="auto" >Qualifications </font></font></p><div> <p> </p> <ul> <li><font dir="auto" ><font dir="auto" >Knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >GCP</font></font></strong><font dir="auto" ><font dir="auto" > (Google Cloud Platform) technologies such as BigQuery, Dataflow, Cloud Storage, Cloud Functions, etc.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Proven skill in </font></font><strong><font dir="auto" ><font dir="auto" >Python</font></font></strong><font dir="auto" ><font dir="auto" > for developing data pipelines, analyzing and manipulating data.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Experience with data visualization tools such as Looker, for creating dashboards and reports.</font></font></li> </ul> <ul> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >In-depth knowledge of SQL</font></font></strong><font dir="auto" ><font dir="auto" > concepts </font><font dir="auto" >and their practical implementation.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Ability to work with large volumes of data and optimize query performance.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Understanding of distributed data architectures and real-time data processing concepts.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Excellent written and oral </font></font><strong><font dir="auto" ><font dir="auto" >communication</font></font></strong><font dir="auto" ><font dir="auto" > : Ability to produce high-quality deliverables and reports.</font></font></li> </ul> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Analytical mindset</font></font></strong><font dir="auto" ><font dir="auto" > and continuous improvement: Ability to evaluate code and its impacts, as well as to question existing solutions in order to improve them.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Ability to </font></font><strong><font dir="auto" ><font dir="auto" >step back and reflect</font></font></strong><font dir="auto" ><font dir="auto" > : The ability to evaluate problems objectively and propose solutions for improvement.</font></font></li> </ul> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Team spirit</font></font></strong><font dir="auto" ><font dir="auto" > : Ability to collaborate effectively with team members to achieve common goals.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >My understanding of Agilit concepts ( </font></font><strong><font dir="auto" ><font dir="auto" >Scrum</font></font></strong><font dir="auto" ><font dir="auto" > , Sprint Planning, Backlog).</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Keen attention to detail and rigor in the design and implementation of data solutions.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >PROFILE SOUGHT:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >A Master's degree (Bac+5) from an engineering school or equivalent university qualification with a specialization in computer science, or equivalent significant experience.</font></font></li> </ul> <ul> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >Over 7 years</font></font></strong><font dir="auto" ><font dir="auto" > of experience </font><font dir="auto" >in </font></font><strong><font dir="auto" ><font dir="auto" >GCP</font></font></strong> </li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Experience in the retail or mass distribution sector would be an asset.</font></font></li></ul></div><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <p><font dir="auto" ><font dir="auto" >In this key role, you will be responsible for designing and implementing BI, Analytics, and Big Data solutions. You will provide valuable and timely data analytics and solutions to the business, verifying requirements, defining the architecture, and developing an implementation plan. You will also be responsible for designing solutions that meet business needs and exceed client expectations. </font></font><br>
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<strong><font dir="auto" ><font dir="auto" >Responsibilities and tasks:</font></font></strong> <br>
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As a technical lead:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Collaborating with the business solutions manager to implement data strategies and design data flows.</font></font></li> <li><font dir="auto" ><font dir="auto" >To serve as a reference in development and ensure consistency with existing assets and data architectures.</font></font></li> <li><font dir="auto" ><font dir="auto" >Perform complex data analyses and clearly communicate the procedure to follow.</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >You are responsible for development:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Provide other team members with clear updates on the progress of development, unit testing, and documentation of developed data pipelines.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the quality of the developed code and compliance with guidelines.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with Azure-based data solution architectures, the software development lifecycle (including Agile & Waterfall), data engineering and ETL tools/platforms, and data modeling practices.</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >You develop and document the standards and methodologies surrounding the data platform, ensuring the security of knowledge and know-how:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Maintain the integration documentation.</font></font></li> <li><font dir="auto" ><font dir="auto" >Provide a critical judgment on the effectiveness of the data model based on your experience and best practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure that validation processes are followed.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li> <strong><font dir="auto" ><font dir="auto" >A minimum of </font></font></strong> <strong><font dir="auto" ><font dir="auto" >5 years of experience</font></font></strong><font dir="auto" ><font dir="auto" > in managing and implementing data projects.</font></font></li> <li><font dir="auto" ><font dir="auto" >But sad advance and of the </font></font><strong><font dir="auto" ><font dir="auto" >Azure</font></font></strong><font dir="auto" ><font dir="auto" > platform .</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent mastery of </font></font><strong><font dir="auto" ><font dir="auto" >PL/SQL</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Extensive expertise in </font></font><strong><font dir="auto" ><font dir="auto" >Data Analytics</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >bug analysis</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Advanced knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >Snowflake</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Basic knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >Power BI</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Advanced mastery with </font></font><strong><font dir="auto" ><font dir="auto" >Azure DevOps</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Good level in French and English</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li></ul></div><p></p></section>
<p>OFFRE DE STAGE</p><p> </p><p>Data Analyst & Intelligence Artificielle</p><p> </p><p>INFORMATIONS SUR LE STAGE</p><p> </p><p>**Poste :** Stagiaire Data Analyst & 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 & Intelligence Artificielle**, curieux(se), analytique et passionné(e) par les données et les nouvelles technologies.</p><p> </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> </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> </p><p>VOS MISSIONS</p><p> </p><p>Analyse de données & Reporting</p><p> </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> </p><p>Intelligence Artificielle & Data</p><p> </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> </p><p>PROFIL RECHERCHÉ</p><p> </p><p>Nous recherchons une personne **analytique, curieuse, rigoureuse et désireuse d’apprendre**.</p><p> </p><p>Vous êtes idéalement :</p><p> </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> </p><p>CE QUE VOUS ALLEZ DÉVELOPPER</p><p> </p><p>Ce stage vous permettra de développer des compétences pratiques en :</p><p> </p><p>**Data Analysis • Excel • Power BI • SQL • Reporting • Data Visualization • Dashboards • Data Cleaning • Business Intelligence • Intelligence Artificielle • Automatisation**</p><p> </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> </p><p>Vous découvrirez également comment combiner les compétences traditionnelles du **Data Analyst** avec les nouvelles possibilités offertes par l’**Intelligence Artificielle**.</p><p> </p><p>COMMENT POSTULER ?</p><p> </p><p>Vous êtes passionné(e) par les données, l’analyse et les nouvelles technologies ?</p><p> </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>
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<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
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<br> Job : <p><strong>In this role, your main tasks will be 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>
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The team<p><span>One of the most versatile teams of Artefact, our growing Data &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>&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>&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>&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>