Python Developer Jobs in Morocco
287 Jobs Found
<p>As a Senior Data Scientist, you will be responsible for the following missions:</p><p><strong>Development of predictive and prescriptive models:</strong> Design and train Customer Segmentation models (clustering, RFM, behavioral profiling). Develop personalized Recommendation engines (collaborative filters, content-based, hybrid systems) to improve cross-sell and up-sell. Develop Prediction models (churn, propensity, risk scoring, transaction volume forecasting).</p><p><strong>Data and model engineering:</strong> Collaborate with Data Engineers to define features and prepare necessary training pipelines from the Datalakehouse (Cassandra, Hive, etc.). Implement MLOps best practices: model versioning, deployment automation, production performance monitoring (drift, bias).</p><p><strong>Business value contribution:</strong> 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 the enrichment of source systems and the Datalakehouse with predictive data.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Education:</strong> Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence, or Applied Statistics/Mathematics.</li><li><strong>Experience:</strong> 3-5 years of confirmed experience on similar predictive modeling and recommendation system projects.</li><li><strong>Technical Skills:</strong> Mastery of ML: Classical 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.</li><li><strong>Methodology:</strong> Agile work (Scrum of Scrums, Weekly follow-up committees).</li><li><strong>Collaboration:</strong> Multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts).</li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>For one of our clients, we are looking for a Consultant in Automation and Business Intelligence (BI) responsible for maintaining and evolving a set of Excel tools used daily by business teams for performance monitoring and reporting. Your missions: Maintain and evolve multi-user Excel tools consolidating data from multiple source systems. Automate end-to-end processing chains (data loading, transformation, and restitution) using VBA and Power Query. Design dashboards and summaries to facilitate decision-making. Gather user needs, clarify them, and translate them into concrete solutions. Control data quality to ensure reporting reliability. Support tool adoption: training, support, and continuous improvement. Test and validate developments.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><h3>Essential Skills</h3><ul><li>Advanced proficiency in Microsoft Excel and VBA development.</li><li>Good knowledge of Power Query.</li><li>Good knowledge of the Microsoft Power Platform: Power BI, Power Automate, and Power Apps.</li><li>Ability to analyze business needs and translate them into efficient and adapted automation solutions.</li><li>Excellent communication and user needs gathering skills.</li></ul><h3>Appreciated Skills</h3><ul><li>Experience in data visualization, particularly with Python and/or advanced chart development in Excel.</li><li>Experience in AI-assisted development and the use of tools such as Microsoft Copilot or equivalent solutions.</li><li>Knowledge of REST APIs and their integration into business solutions.</li><li>Experience with the Microsoft Power Platform (Power BI, Power Automate, Power Apps).</li></ul><h2>Technical Environment</h2><ul><li>Microsoft Excel and VBA</li><li>Power Query</li><li>SharePoint (SharePoint Lists)</li><li>Microsoft Power Platform: Power BI, Power Automate, Power Apps</li></ul><h2>Languages</h2><ul><li>Very good level of French</li><li>Very good level of English</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description </font></font><div> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">You will have the opportunity to develop your skills in the most innovative technologies, tools and methodologies.</font></font></p> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Your main tasks</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"></font><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaborating with DevOps/SRE</font></font></strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> teams </font><font dir="auto" style="vertical-align: inherit;">to automate Cloud environments using </font></font><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">CI/CD</font></font></strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> pipelines and Infrastructure as Code (IaC).</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Design and implement automated, secure, scalable and high-performance deployment solutions.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">To offer technical solutions tailored to clients' problems.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Operate and maintain the </font></font><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Image Factory</font></font></strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> platform , primarily in a Microsoft Azure environment.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Design and maintain automated image creation pipelines with </font></font><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Packer, Ansible and GitHub Actions</font></font></strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> .</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Create, update and publish Windows and Linux images in </font></font><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Azure Compute Gallery</font></font></strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> .</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Apply system updates, security patches and configuration changes to the reference images (Golden Images).</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Diagnose image generation failures and improve pipeline reliability.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaborating with Cloud, Security and Platform Engineering teams to provide standardized images.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ensure version management, testing and image lifecycle.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Participate in the continuous improvement and automation of the Image Factory platform.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Use AI-based solutions to optimize the Image Factory platform.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"><b>Qualifications </b></font></font></p><div> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Engineering degree, Master's degree or equivalent in computer science or a similar field.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Minimum </font></font><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">3 years of experience</font></font></strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> in the design, deployment and administration of Azure Cloud solutions.</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience with </font></font><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">AWS</font></font></strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> or </font></font><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">GCP</font></font></strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> is an asset.</font></font></li> </ul> <p> <strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technical skills</font></font></strong> </p> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Scripting languages</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Python</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Bash</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Shell</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">PowerShell</font></font></li> </ul> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Cloud</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Excellent mastery of </font></font><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Microsoft Azure</font></font></strong> </li> </ul> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Infrastructure as Code</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Terraform</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">CloudFormation</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ansible</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Packer</font></font></li> </ul> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">my systems</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Linux</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Windows Server</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Security Hardening</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Patch Management</font></font></li> </ul> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">CI/CD</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">GitHub</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">GitLab</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Jenkins</font></font></li> </ul> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Containers</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Docker</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Kubernetes</font></font></li> </ul> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Version control</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Git</font></font></li> </ul> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Project management</font></font></p> <ul> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Jira</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Confluence</font></font></li> <li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Scrum methodology</font></font></li> </ul> <p><br></p></div><p></p></section>
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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>
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Join our Team
<br><p><strong>About this opportunity:</strong></p><br><br><p>We are looking for a <strong>5G Back-Office RAN Engineer</strong> to support the configuration, monitoring and optimization of 5G Radio Access Network elements using OSS and NETAN systems. In this role, you will contribute to stable day-to-day RAN operations, incident resolution and performance management, ensuring network availability and SLA compliance.</p><br><br><p>You will collaborate closely with SNOC,NOC, field teams, RF planning, core teams and vendors, supporting feature rollouts, network changes and continuous improvement initiatives.</p><br><br><br><p><strong>What you will do:</strong></p><br><br><ul><li>Monitor, configure and manage 5G RAN elements (gNBs, DU/CU, small cells) using OSS/NETAN tools</li><li><p>Perform fault management activities, including alarm handling, root cause analysis, ticket ownership and SLA tracking</p><br><br></li><li><p>Analyze network performance KPIs and support corrective actions to improve availability and quality</p><br><br></li><li><p>Support activation and parameterization of 5G features </p><br><br></li><li><p>Prepare, execute and validate configuration changes, including support for new site integration and upgrades</p><br><br></li><li><p>Produce operational reports and RCA documentation</p><br><br></li><li><p>Maintain accurate network inventory and configuration data in OSS,CMDB systems</p><br><br></li><li><p>Provide L1/L2 operational support and act as an escalation point for complex RAN incidents</p><br><br></li><li><p>Contribute to process improvements, documentation and basic automation activities</p><br><br></li></ul><br><p><strong>The skills you bring:</strong></p><br><br><ul><li>Bachelor’s degree in Telecommunications, Engineering, Computer Science or equivalent</li><li><p>Minimum 3 years of experience in mobile RAN operations or engineering, with exposure to 5G</p><br><br></li><li><p>Hands-on experience with RAN OSS/NETAN and vendor EMS/NMS platforms (Ericsson, Nokia, Huawei or equivalent)</p><br><br></li><li><p>Solid understanding of 3GPP RAN architecture and protocols </p><br><br></li><li><p>Experience with fault and performance management, including KPI analysis and RCA</p><br><br></li><li><p>Familiarity with ticketing tools (JIRA, Remedy, ServiceNow)</p><br><br></li><li><p>Basic scripting or automation skills (Python, Shell or SQL)</p><br><br></li><li><p>Working knowledge of Linux and basic networking concepts</p><br><br></li><li><p>Strong analytical and troubleshooting skills</p><br><br></li><li><p>Good written and verbal communication skills in English</p><br><br></li></ul><br><p><strong>Why join Ericsson?</strong>At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.<br> <br><strong>What happens once you apply?</strong>Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.</p><br><br><br><p><strong>Primary country and city:</strong> Morocco (MA) || Casablanca</p><br><br><p><strong>Req ID:</strong> 787973 </p><br><br><br><br><br> </div>
<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description: We are looking for a Data Expert with a strong interest in Artificial Intelligence, capable of working on complex data projects and supporting our clients in leveraging their data. You will work on Data Engineering, Data Architecture, Analytics, and AI challenges, while participating in the design of innovative and scalable solutions. Your main responsibilities will include: Designing and implementing robust, scalable, and secure data architectures; developing and optimizing data pipelines (ETL/ELT); participating in the design of data platforms and the modernization of existing architectures; leveraging and enhancing data to address business challenges; contributing to projects related to AI, Machine Learning, and GenAI; identifying relevant AI use cases and contributing to their deployment; and working with Data Scientists, Data Engineers, Architects, and business teams. Participate in technology monitoring and propose new Data & AI solutions. Support teams in implementing best practices in Data and AI.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Master's degree (or equivalent) in Computer Science, Data Science, Engineering, or a related field. Minimum 8 years of experience on data projects. Solid understanding of Data Engineering/Data Architecture concepts. Proficiency in SQL and Python. Experience with cloud environments: Azure, AWS, or GCP. Knowledge of Big Data and/or Data Platform technologies. Experience with Machine Learning, GenAI, LLM, RAG, or AI Engineering would be a significant asset. Strong ability to understand business challenges and propose appropriate solutions. Professional English. What we are primarily looking for: A Data Expert profile, capable of taking a step back and analyzing complex architectures and problems, with a strong interest in AI and a desire to progressively integrate new AI technologies into data projects.</font></font></p>
<p>THE JOURNEY</p><p>Understand business needs and create insightful analysis helping your team to make the right decisions to boost Glovo presence and orders</p><p>Identify growth opportunities to increase our user base focusing on traffic, conversion and retention rates and leveraging on levers such as pricing, promotions, events, CRM and other marketing levers etc</p><p>Drive projects end-to-end translating business challenges into insights and actions</p><p>Identify growth opportunities to increase our user base, step change retention rates and maximize profitability</p><p>Take ownership of the reporting of KPIs by creating customized tools and using the available ones</p><p>Ensure these tools are scalable and up-to-date</p><p>Assist your colleagues in gaining access to the right data, and communicate and simplify concepts to the audience's needs</p><p>Drive clarity and solve ambiguity using data-driven approaches</p><p>Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products, identify growth opportunities, and execute projects to drive growth and engagement</p><p><strong>Desired Candidate Profile</strong></p><h2>WHAT YOU WILL BRING TO THE RIDE</h2><ul><li>1-3 years of work experience on analytical roles leading analysis and turning insights into actions</li><li>Bachelor's degree in Math, Engineering, Business, Stats, Quantitative field or Business</li><li>SQL proficiency is mandatory / Python is a plus</li><li>Ninja expertise with Excel / Google Sheets is a must</li><li>Knowledge of visualization tools like Tableau and Looker</li><li>Business acumen and passion for end-to-end project management (from ideation and analysis into implementation)</li><li>A hands-on attitude is a must. You ll have to roll up your sleeves!</li><li>Proficiency in English</li><li>Strong consumer understanding skills</li></ul>
<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"><b>Job Description</b> 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 and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - 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 production performance monitoring (drift, bias). - Business value delivery: 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><p><strong>Desired Candidate Profile</strong></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Qualifications</font></font></h2><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience: 35 years of confirmed experience on similar predictive modeling and recommendation systems projects.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">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.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">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>Are you passionate about automation, APIs, and building seamless software integrations? Keycafe is looking for a Sales & Integrations Engineer to develop, manage, and scale integrations between our platform and third-party applications. This role is ideal for someone who thrives in a fast-paced, customer-focused environment and enjoys leveraging automation tools to create impactful solutions. In this role, you'll: Design, develop, and maintain integrations using automation platforms like n8n, Pipedream, or similar tools. Collaborate with industry teams to understand customer needs and build tailored automation solutions. Optimize and scale integrations for performance, efficiency, and reliability. Troubleshoot and resolve integration issues to ensure seamless system functionality. Stay ahead of new automation technologies and quickly adapt if we transition from n8n to another tool. Work closely with stakeholders to identify new integration opportunities and best practices. Be a primary French speaking source of contact for our Integrations customers throughout Europe</p><p><strong>Desired Candidate Profile</strong></p><p>What We're looking for:</p><ul><li>Proven experience with API integrations and automation workflows.</li><li>Proficiency in JavaScript or Python for building custom integrations.</li><li>Familiarity with automation tools such as n8n, Pipedream, Zapier, or similar.</li><li>Strong analytical and problem-solving skills, with the ability to work independently.</li><li>JavaScript Depth: Strong proficiency with async/await, API handling, JSON transformations, array methods (map/filter/find), error handling, and data mapping.</li><li>Documentation Skills: Ability to create and maintain technical and non-technical documentation, including workflow diagrams, API mappings, onboarding guides, troubleshooting docs, and customer-facing implementation guides.</li><li>Comfortable collaborating with both technical and non-technical stakeholders.</li><li>Fluent in English and French (written and spoken).</li><li>Based in Morocco</li></ul>
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Job : <p>As part of strengthening our teams, CDG Capital Gestion, a key player in financial asset management, is launching an external recruitment campaign for the position of <strong>"BI & Data Engineering Manager"</strong> within the Production Department. </p><br><br><p><br>The <strong>BI & Data Engineering Manager</strong> is responsible for establishing various reports and carrying out specific IT developments:</p><br><br><p>• Design and establish various reports (for Management, Fund Managers, Clients) ;</p><br><br><p>• Prepare occasional notes upon request from Management, Fund Managers, and Clients ;</p><br><br><p>• Develop / administer new analytical, performance, and risk measurement tools ;</p><br><br><p>• Carry out IT developments, document them, and ensure their maintenance ;</p><br><br><p>• Ensure proper management of the IT code produced and its sustainability ;</p><br><br><p>• Train users and ensure administration, functional and technical support for users ;</p><br><br><p>• Test and control the proper functioning of developments ;</p><br><br><p>• Install developed applications within the scope assigned to them ;</p><br><br><p>• Monitor performance and deviations compared to benchmarks ;</p><br><br><p>• Analyze performance and the return/risk ratio.<br> </p><br><br> <br> Required profile : <p><u><strong>Profile sought:</strong></u></p><br><br><p>• Graduate of a top business or engineering school or university (Bac+4/5 level).<br>• A minimum of 5 years of experience in a similar role is desirable.</p><br><br><p><u><strong>Skills required for the position:</strong></u></p><br><br><p>• Knowledge of the financial market;<br>• Knowledge of the UCITS management business;<br>• Knowledge of financial mathematics;<br>• Knowledge of portfolio management techniques;<br>• Good command of database management tools and data warehouses;<br>• Good command of Excel/VBA, Access, Power Point, and Power BI;<br>• Knowledge of programming languages (Python);<br>• Internal and external client focus;<br>• Rigor, analytical and synthesis skills, availability, and good listening skills;<br>• Ability to work in a team and good interpersonal skills.</p><br><br><p> The deadline for submitting applications is <strong>08/05/2026.</strong></p><br><br><br><p><strong>Position based in Casablanca</strong></p><br><br> <br><br> </div>
<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">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 and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - 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 production performance monitoring (drift, bias). - Business value delivery: 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><p><strong>Desired Candidate Profile</strong></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Qualifications</font></font></h2><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience: 35 years of confirmed experience on similar predictive modeling and recommendation systems projects.</font></font></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technical Skills</font></font></h2><ul><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Mastery of ML: Classical algorithms (regression, classification, clustering, time series) and Deep Learning (if applicable).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">AI frameworks: Proficiency in Python libraries (Scikit-learn, Pandas, XGBoost, TensorFlow or PyTorch).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Big Data & Tools: Knowledge of distributed environments (Spark/PySpark) and NoSQL databases (Cassandra, MongoDB).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ops & CI/CD: Familiarity with containerization environments (Docker) and model lifecycle management (MLOps).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">technological environment: Cloudera Data Platform, Microservices Architecture, Kafka, API Gateway (Axway), Keycloak.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Methodology: Working in Agile mode (Scrum of Scrums, weekly follow-up committees).</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaboration: multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts).</font></font></li></ul>
<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">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 and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - 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 production performance monitoring (drift, bias). - Business value delivery: 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><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Engineering degree (Bac+5) with a specialization in Data Science, Artificial Intelligence or Statistics/Applied Mathematics.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience: 35 years of confirmed experience on similar predictive modeling and recommendation systems projects.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">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.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Methodology: Working in Agile mode (Scrum of Scrums, weekly follow-up committees).</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Collaboration: multidisciplinary team (Data Engineers, Lead Tech, Product Owners, Business Experts).</font></font></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description: As Test Automation Lead, you will be responsible for the test automation strategy and the management of the QA teams. You will ensure the quality of applications by developing robust testing frameworks and ensuring the implementation of best practices. Your responsibilities include: Defining and implementing the test automation strategy. Designing, developing, and maintaining automated testing frameworks. Managing and coordinating a team of testers (automation and functional). Developing test plans and executing automated test campaigns. Collaborating with development, DevOps, and business teams to guarantee the quality of deliverables. Continuously improving testing processes and integrating new technologies and tools. Analyzing test results and reporting anomalies. Monitoring technological advancements and recommending best practices in test automation.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Required skills</font></font></h2><h3><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Technical skills</font></font></h3><ul><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Mastery of automation tools and frameworks: Selenium, Robot Framework</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Good knowledge of scripting languages: Python, Java</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience with test management tools (TestRail, Zephyr, Xray)</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps)</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience with REST APIs and their validation via automated tests</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Knowledge of Agile methodologies (Scrum, Kanban)</font></font></li></ul><h3><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Behavioral skills (Soft Skills)</font></font></h3><ul><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Leadership and ability to manage a team.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Analytical and problem-solving skills.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Good communication and teaching skills.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Rigour and attention to detail.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ability to work in a team and collaborate with different stakeholders.</font></font></li></ul><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Qualifications</font></font></h2><h3><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Desired profile</font></font></h3><ul><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Education: Bac+5 in Computer Science, Software Engineering or equivalent.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience: 5-10 years in testing, including significant experience in automation and team leadership.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Languages: French and English (technical) required.</font></font></li></ul><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Benefits</font></font></h2><ul><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Dynamic and innovative work environment.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Opportunities for training and skills development.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Part-time work is possible depending on the position.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Participation in tech conferences and events.</font></font></li></ul><p></p></section>
<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>
<h2 class="h5">Job description</h2>
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Company culture : <p><strong>BTechnologie</strong> is characterized by a corporate culture primarily driven by <strong>organization</strong>, where rigor, reliability and operational efficiency are key drivers of performance. This structured environment is strengthened by a strong <strong>collaborative</strong> dimension, promoting team spirit, quality relationships and supportive leadership. The company also embraces a culture of <strong>performance and challenge</strong>, with a clear focus on results and excellence. Complementing these strengths, an <strong>innovative</strong> mindset brings openness to change and continuous improvement.
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<br> Job : <p>As part of strengthening our teams, BTechnologie, a subsidiary of Bouygues Telecom, is looking for a Data Analyst with experience in the FTTH and Telecom world.</p><br><br><p><strong>Your mission:</strong></p><br><br><ul><li>Collect, consolidate, and analyze data from FTTH activities.</li><li>Develop and maintain reporting and steering dashboards.</li><li>Identify trends, anomalies, and levers for performance improvement.</li><li>Produce analyses to optimize FTTH operations processes and quality.</li><li>Implement and monitor Telecom / FTTH KPIs.</li><li>Automate and ensure the reliability of data processing and reporting.</li><li>Collaborate with business, technical, and operational teams to translate needs into relevant data solutions.</li><li>Ensure the quality, consistency, and reliability of the data used.</li></ul> <br> <br> Required profile : <ul><li>Master's degree (Bac+4/5) in Data, Statistics, IT, Telecom, or equivalent field.</li><li>2 to 5 years of experience in Data Analysis, ideally in a Telecom / FTTH environment.</li><li>Good understanding of processes and issues related to the deployment and operation of FTTH networks.</li><li>Proficiency in SQL.</li><li>Very good command of Excel: advanced formulas, Pivot Tables, lookups, analysis, and ideally Power Query.</li><li>Proficiency in Power BI for creating dashboards and data visualization.</li><li>Skills in Python for analysis and automation would be a plus.</li><li>Analytical mindset, rigor, and ability to transform data into concrete recommendations.</li><li>Good interpersonal skills and ability to work with various business and technical stakeholders.</li></ul> <br><br> </div>
<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">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 and Detection models: Churn, propensity, risk scoring, transaction volume forecasting, and detection of anomalies/behavioral rules for anti-money laundering (AML). - 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 production performance monitoring (drift, bias). - Business value delivery: 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><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">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>
<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>Within the project, your main tasks will include:</p><br><br><ul><li>Integrate software components into an existing AUTOSAR Adaptive system platform.</li><li>Understand and verify CI/CD pipeline workflows.</li><li>Collaborate with development teams to ensure seamless integration of new features and functionalities.</li><li>Analyze and troubleshoot integration issues, providing timely resolutions.</li><li>Manage time effectively to meet project deadlines and deliver high-quality results.</li><li>Contribute ideas for continuous improvement within the scope of influence.</li><li>Work closely with stakeholders to support requirements and adapt to changing project environments.</li><li>Maintain documentation for integration processes and system configurations.</li><li>Support release processes by integrating software elements into a single release package.</li><li>Analyze new technologies (software stacks, configurators), assess impact on integration requirements, and prepare feasibility studies or proof of concepts.</li><li>Demonstrate willingness to learn new technologies.</li></ul> <br> Required profile : <ul><li>Master's degree (BAC+5) from an engineering school or university specializing in embedded systems.</li><li>1 to 3 years of experience in the field of Software integration.</li><li>Experience with software development for embedded systems/microcontrollers.</li><li>Knowledge of system and software engineering standards (e.g., IEEE 12207, ASPICE/VDA QMC).</li><li>Experience with system configuration and software integration.</li><li>CI/CD, flashing/debugging (Trace32).</li><li>Programming: C, C++, Python</li><li>Tools: GitHub, Make/CMake, CANoe, Autosar tooling (e.g., System Desk).</li></ul> <br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>As a Test Lead Automation, you will be responsible for the test automation strategy and the supervision of QA teams. You will guarantee the quality of applications by developing robust test frameworks and ensuring the implementation of best practices. Your missions include: Definition and implementation of the test automation strategy. Design, development, and maintenance of automated test frameworks. Supervision and coordination of a team of testers (automation and functional). Development of test plans and execution of automated test campaigns. Collaboration with development, DevOps, and third-party teams to ensure the quality of deliverables. Continuous improvement of test processes and integration of new technologies and tools. Analysis of test results and reporting of anomalies. Technological watch and recommendation of best practices in test automation.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Required Skills</h2><h3>Technical Skills</h3><ul><li>Mastery of automation tools and frameworks: Selenium, Robot Framework</li><li>Good knowledge of scripting languages: Python, Java</li><li>Experience with test management tools (TestRail, Zephyr, Xray)</li><li>Knowledge of CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps)</li><li>Experience with REST APIs and their validation through automated tests</li><li>Knowledge of Agile methodologies (Scrum, Kanban)</li></ul><h3>Behavioral Skills (Soft Skills)</h3><ul><li>Leadership and ability to supervise a team.</li><li>Analytical and problem-solving mindset.</li><li>Good communication and pedagogical skills.</li><li>Rigor and attention to detail.</li><li>Ability to work in a team and collaborate with different stakeholders.</li></ul><h2>Qualifications</h2><h3>Profile</h3><ul><li>Education: Bac+5 in Computer Science, Software Engineering, or equivalent.</li><li>Experience: 5-10 years in testing, including significant experience in automation and team supervision.</li><li>Languages: French and English (technical) required.</li></ul><h2>Benefits</h2><ul><li>Dynamic and innovative work environment.</li><li>Opportunities for training and skill development.</li><li>Partial remote work possible depending on the position.</li><li>Participation in conferences and tech events.</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Description du poste Dans le cadre du d veloppement de nos activit s Data & IA, nous recherchons un Data Engineer GCP / DataOps disposant d'au moins 4 ans d'exp rience pour concevoir, d velopper et industrialiser les flux de donn es sur Google Cloud Platform (GCP). Vous serez responsable de la mise en place de solutions performantes, s curis es et volutives garantissant la disponibilit et la fiabilit des donn es pour les diff rents cas d'usage analytiques et IA. Missions principales : Concevoir, d velopper et maintenir des pipelines de donn es robustes et industrialis s. Mettre en uvre les pratiques DataOps travers l'automatisation, le monitoring et les processus CI/CD. Optimiser les performances des traitements de donn es ainsi que les co ts d'exploitation sur GCP. Assurer la qualit , la s curit , la gouvernance et la disponibilit des donn es. Participer l'architecture et l' volution des plateformes Data Cloud. Collaborer avec les quipes Data, IA et M tiers afin de r pondre aux besoins fonctionnels et techniques. Assurer la documentation, le support et le maintien en conditions op rationnelles des solutions d velopp es.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Dipl me Bac+5 en Informatique, Data Engineering, Big Data ou quivalent. Minimum 4 ans d'exp rience en tant que Data Engineer, DataOps Engineer ou sur un poste similaire. Ma trise de Google Cloud Platform (GCP) et notamment : BigQuery Dataflow Cloud Composer Pub/Sub Excellentes comp tences en SQL et Python . Bonne ma trise des pratiques DataOps , CI/CD , Git et des outils d'automatisation. Exp rience dans l'architecture, le d ploiement et l'exploitation de plateformes Data Cloud. Connaissance des probl matiques de qualit , s curit et gouvernance des donn es.</p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<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>As a Cost & Price Engineer, you will be responsible for preparing cost and price calculations for engineering design change requests in existing projects, as well as financial data for both advanced and awarded programs. As part of the Cost & Price team, you will also support global new business opportunities and contribute to the company's growth strategy</p><br><br><br><b>Responsibilities</b> <br><p>Your work will include, but not be limited to:</p><br>
<ul>
<li>Implementing engineering changes and ECR quotations at both cost and price levels.</li>
<li>Developing and implementing automation tools to streamline cost and pricing workflows.</li>
<li>Coordinating with the central engineering team for change request submissions.</li>
<li>Focusing on maximizing and improving OI for each engineering change.</li>
<li>Building dashboards and data models to improve visibility and decision-making</li>
<li>Tracking costs, prices, margins, materials, labor, etc.</li>
<li>Collaborating closely with cross-functional teams, including Sales, Purchasing, Operations, PM, ER&D, Quality, Plant teams, and Logistics.</li>
<li>Communicating with sales for pricing strategy.</li>
<li>Supporting management decisions by providing strategic analysis.</li>
<li>Analyze manufacturing labor time at both levels (Mfg, commercial)</li>
</ul><br><br><b>Requirements</b> <br><ul>
<li>Engineer, Bac + 5, master’s degree in industrial engineering or financial business.</li>
<li>Leadership skills and a confident demeanor when dealing with senior management.</li>
<li>Analytical problem-solving skills with a continuous improvement mindset.</li>
<li>Self-organized, structured/methodical, proactive.</li>
<li>Ability to work in multi-functional areas and overcome barriers.</li>
<li>Knowledge of key Microsoft applications such as Excel, Outlook, PowerPoint, Power BI.</li>
<li>Knowledge of programming and data tools such as Python, PySpark, SQL, Power Query, and VBA.</li>
<li>Experience in data automation, data processing, and building analytical tools.</li>
<li>Ability to leverage coding for process optimization, reporting automation, and advanced data analysis.</li>
<li>Excellent verbal and written communication skills in English and French; Spanish is a plus.</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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