Data Entry Jobs in Morocco

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p> Ce que nos collaborateurs aiment le plus chez nous <span>❤</span> : Pour consulter leurs avis certifiés </p><br><br> <br> <br> Company culture : <p> <strong>Sofrecom Maroc</strong> stands out for its <strong>strongly collaborative culture</strong>, where people, trust and employee well-being are central priorities. A close management approach promotes support, accountability and long-lasting teamwork. This collaborative foundation is complemented by a <strong>notable innovation dimension</strong>, encouraging initiative, agility and experimentation. <strong>Structured processes</strong> ensure reliability and operational efficiency, while performance-driven practices play a more supportive and balanced role. </p><br><br> <br> <br> Job : <p><strong>Mission:</strong></p><br><br><p>As part of the Data &amp; AI strategy for value creation, the Data Scientist consultant supports MEA countries in the design, development, and deployment of high-business-value Data &amp; AI use cases.</p><br><br><p>They are involved end-to-end, from understanding business needs and identifying opportunities to developing the solution, industrializing it, and supporting it in production.</p><br><br><p>The consultant works closely with the Data &amp; AI referents in the countries, the Data &amp; AI teams, and the business teams, with a primary objective of transforming use cases into concrete, value-creating solutions.</p><br><br><p>1. Country Support</p><br><br><ul><li>Gather and challenge the business needs of the countries to identify high-potential Data &amp; AI opportunities.</li><li>Translate business problems into concrete and feasible Data Science / AI use cases.</li><li>Support countries in defining the scope, necessary data, KPIs, and success criteria.</li><li>Provide their Data Science expertise to challenge approaches and propose the most relevant solutions.</li></ul><p><br>2. Use Case Development</p><br><br><ul><li>Design, develop, and test Data Science and AI models.</li><li>Perform exploratory analyses, data preparation, modeling, and performance evaluation.</li><li>Use Dataiku as the preferred platform for developing and industrializing use cases.</li><li>Document developments, models, methodologies, and results to facilitate their reuse and replication in other countries.</li></ul><p><br>3. Delivery and Industrialization</p><br><br><ul><li>Support use cases until they go into production, in collaboration with the Data &amp; AI teams.</li><li>Identify the technical, data, and business prerequisites necessary for deployment.</li><li>Monitor the performance of solutions in production and contribute to their continuous improvement.</li><li>Promote the standardization and replicability of solutions across countries.</li></ul><p><br>4. Value Creation</p><br><br><ul><li>Contribute to defining and monitoring KPIs to measure the value generated by use cases.</li><li>Work with business teams to ensure that developed solutions effectively address business challenges.</li><li>Identify opportunities for optimization and extension of deployed use cases.<br>&nbsp;</li></ul> <br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> 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. </p><br><br> <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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Publication date :</strong> Jul 27, 2026, 12:00AM</p><br><br><p><strong>Contract duration : </strong></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>The ‘Data Product Owner – Billing Accounts’ supports the Head of Master &amp; Referential Data in defining, delivering and managing a global solution for managing the lifecycle of customers’ billing account data, including data definition, processes, data quality and referential system roadmap.</span></p><br><br><p><span>This role is part of a small core team responsible for the Customer Master Data at the heart of the Orange Business digital customer &amp; employee journey strategy, and will work in close collaboration with the other data product owners to share expertise and ensure alignment. It is a marketing-orientated role, ensuring we hold and exploit the right data at the right quality to deliver operational efficiency, customer journey, commercial advantage, and therefore both customer experience excellence and business growth.</span></p><br><br><p><span><span>key accountabilities</span></span></p><br><br><p><span><span>key result / decision areas (outcomes)</span></span></p><br><br><p><span>Business use cases and value of the data</span></p><br><br><ul><li><span>Be recognized as the business expert on Billing Account data, across all channels), supporting projects and portfolios in the correct creation and consumption of this data.</span></li><li><span>Engage with business stakeholders in International / DGC / DEF and other BUs as required to capture and prioritise requirements for billing account data management, and assess the value-add of prioritized requirements..</span></li><li><span>Maximise exploitation of customer data for operational &amp; analytical purposes by working with consuming teams &amp; systems to facilitate and ensure correct use of customer data within wider capabilities.</span></li></ul><br><p><span>Data definition and documentation</span></p><br><br><ul><li><span>Ensure data model is fully documented in our data management system to facilitate understanding and consumption of the data.</span></li></ul><br><p><span>User access to the data</span></p><br><br><ul><li><span>Responsible for providing users with easy and clear access to relevant data, whether as individial records or as bulk reporting, via portal, EDH, PowerBI or other mechanisms.</span></li><li><span>Responsible for ensuring appropriate access controls to customer data, complying with regulatory, security &amp; confidentiality</span><span>requirements while maximizing demoicratization to facilitate delivery of value.</span></li></ul><br><p><span>Data quality monitoring, management &amp; lifecycle process</span></p><br><br><ul><li><span>Responsible for optimizing the quality of billing account data. Work closely with Data Stewards / Data Quality team to identify KPIs and monitor &amp; report the quality (accuracy &amp; completeness) of customer billing account records; oversee activity to correct any errors and fix the root cause of any identified issues (whether process or technical).</span></li></ul><br><p><span>Business representative for referential tool roadmap</span></p><br><br><ul><li><span>Providing leadership to IT teams (CTIO, DTSI) to develop &amp; deliver in line with business needs, setting business priorities and securing budgetary cover, reviewing , tracking and reporting on progress vs plan.</span></li><li><span>Drive delivery of a scopeless billing account referential solution, to support CurrentCo and NewCo ecosystems.</span></li><li><span>Take Epic owner position if required for driving delivery of customer data epics / envelopes though the SAFe portfolio model.</span></li></ul><br>À propos de vous<p></p><p><span><span>knowledge and abilities</span></span></p><br><br><p><span><span>Ability to engage effectively with business stakeholders to capture and debate strategic &amp; operational priorities.</span></span></p><br><br><p><span><span>Project management skills to translate agreed priorities into a successful delivery.</span></span></p><br><br><p><span><span>Ability to engage effectively with IT teams to communicate needs clearly and discuss technical limitations / impacts.</span></span></p><br><br><p><span><span>Ability to find common purpose &amp; direction in a diverse group of stakeholders.</span></span></p><br><br><p><span><span>Effectvie working level of English and French.</span></span></p><br><br><br><br><p><span><span>education, qualifications, and certifications</span></span></p><br><br><p><span><span>Academic business degree or equivalent, (business administration, information management)</span></span></p><br><br><p><span><span>Subject matter Expertise,</span></span></p><br><br><br><br><p><span><span>Experience</span></span></p><br><br><p><span><span>MS Office, Teams, Data Quality Platforms, meta data, Data Visualisation</span></span></p><br><br><p><span>Minimum 5 years experience of data management / data process / quality management</span></p><br><br><p>You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.</p><br><br>Informations supplémentaires<p><strong>• Global Opportunities:</strong> Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.<br><strong>• Flexible Work Environment:</strong> Flexible working hours and possibility to combine work from office and home (hybrid ways of working).<br><strong>• Professional Development:</strong> training programs and upskilling/re-skilling opportunities.<br><strong>• Career Growth:</strong> Internal growth and mobility opportunities within Orange.<br><strong>• Caring and Daring Culture:</strong> Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.<br><strong>• Reward Programs:</strong> Employee Referral Program, Change Maker Awards.</p><br><br>Égalité des chances en matière d'emploi<p>Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.</p><br><br>Récompenses..<p> At Orange, only your skills matter. </p><br><br> <p> Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have. </p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>AFD.Tech</strong> fosters a deeply <strong>human and collaborative</strong> culture, built on trust, team spirit, and mutual support.<br> Employees grow within a close-knit environment where hands-on managers guide, mentor, and empower their teams.<br> This people-focused approach is strengthened by a solid <strong>organizational structure</strong>, ensuring consistency, quality, and operational excellence.<br> <strong>Innovation</strong> and creativity play a supportive role, while <strong>performance</strong> and challenge are present but balanced. </p><br><br> <br> Job : <p><strong>Your tasks</strong></p><br><br><p>• Design and evolve conceptual, logical, and physical data models.<br>• Develop, optimize, and maintain data pipelines in Google BigQuery, ensuring optimal performance and efficient resource use to control operating costs.<br>• Implement data transformations using Dataform.<br>• Ensure data quality, consistency, and availability.<br>• Prepare and structure data for Power BI dashboards and analyses.<br>• Participate in workshops to gather and qualify needs.<br>• Write and maintain technical and functional documentation.<br>• Support more junior profiles and promote best practices.<br>&nbsp;</p><br><br> <br> <br> Required profile : <p><strong>Profile sought</strong></p><br><br><p><br>Graduated from an engineering school or a university program specializing in IT, data, or statistics, you have 5 to 8 years of experience in data engineering roles. You are autonomous, rigorous, and able to interact with both technical and non-technical stakeholders.</p><br><br><p><br><strong>Technical skills</strong></p><br><br><br><ul><li>Data modeling</li><li>Google BigQuery</li><li>Dataform</li><li>Power BI and data visualization</li><li>Advanced SQL</li><li>Design and optimization of data flows</li></ul><p><strong>Transversal skills</strong></p><br><br><ul><li>Very good level of French, spoken and written</li><li>Good communication skills</li><li>Autonomy and sense of responsibility</li><li>Analytical and synthesis skills</li><li>Ability to work in a team&nbsp;</li></ul><p><strong>Why join us?</strong></p><br><br><ul><li>Innovative projects with high added value.</li><li>A collaborative and stimulating work environment.</li><li>Opportunities for career development and skill enhancement.</li><li>Support throughout your professional journey.</li><li>If you want to take on a new challenge and grow within a dynamic team, apply now!</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>CGI Technologies and Solutions Morocco</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its operations. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This dynamic is reinforced by a structured <strong>organizational culture</strong>, ensuring process rigor, reliability and operational efficiency. It is complemented by an <strong>innovation dimension</strong> that encourages adaptability and initiative, while a more moderate <strong>competitive component</strong> supports a balanced results-driven mindset. </p><br><br> <br> Job : <p>In a Data-driven context, we are looking for a Project Manager specialized in Data to lead BI and Data Engineering projects. The candidate will be responsible for coordinating teams, managing projects, while ensuring compliance with costs, deadlines, and quality.</p><br><br><p><u><strong>Functions and responsibilities:</strong></u></p><br><br><br><ul><li>Lead Data and BI projects from start to finish</li><li>Manage and coordinate technical teams</li><li>Design Data architectures adapted to business needs</li><li>Supervise ETL flows and BI tools</li><li>Ensure the quality, governance, and reliability of data</li><li>Develop, monitor, and control project budgets, ensuring cost compliance and resource optimization</li><li>Monitor financial indicators, anticipate budget variances, and propose necessary corrective actions</li><li>Guarantee compliance with deadlines, risks, and project commitments</li></ul> <br> <br> Required profile : <p><u><strong>Qualities required to succeed in this role</strong></u></p><br><br><ul><li>Expertise in Data (ETL, BI, MicroStrategy, Power BI...)</li><li>Solid experience in Data project management</li><li>Proficiency in budget management and financial monitoring of projects</li><li>Ability to simplify technical topics for stakeholders</li><li>Technical leadership and excellent coordination skills</li><li>Analytical mindset and results-oriented</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>Manpower Agences</strong> operates within a highly balanced culture, where <strong>collaboration</strong> plays a key role in the work environment. The company values close leadership, trust and collective engagement, while placing equal importance on <strong>performance</strong> and achieving results. This dynamic is supported by a <strong>structured organizational approach</strong>, promoting rigor, efficiency and quality execution. Openness to innovation further strengthens this balance, supporting adaptability in an evolving market. </p><br><br> <br> Job : <p>We are recruiting a Senior Data Analyst - Casablanca<br>Your main tasks:<br>• Collect, clean, and structure databases.<br>• Perform statistical analyses and interpret results.<br>• Design and automate dashboards and reports.<br>• Identify trends, behaviors, and key performance indicators.<br>• Produce summaries and recommendations based on analyzed data.<br>• Collaborate with research and operational teams to meet client needs.<br>• Participate in the continuous improvement of data analysis tools and processes.<br>&nbsp;</p><br><br> <br> <br> Required profile : <p><br>• Higher education (Bac+4/5) in statistics, data science, business intelligence, applied mathematics, economics, or a similar field.<br>• Solid mastery of quantitative data analysis.<br>• Excellent command of Excel and statistical analysis tools (SPSS, R, Python, or equivalent).<br>• Mastery of data visualization tools (Power BI, Tableau, or equivalent).<br>• Excellent analytical, synthesis, and problem-solving skills.<br>• Organizational skills, autonomy, and rigor.<br>• Good ability to communicate complex results clearly and accessibly.<br>• Good command of professional French and English.<br> Appreciated assets:<br>• Experience in the health, nutrition, wellness, or beauty sectors.<br>• Experience in a research institute or in consumer data analysis.<br>Position based in Casablanca<br>&nbsp;</p><br><br> <br><br> </div>

<p>Your mission will be to contribute to, facilitate, and accelerate the development and deployment of Data Science, Data Analysis, Data Visualization, and AI projects. Your role will be cross-functional, intervening across the entire lifecycle of solutions: from data exploration to production deployment and their evolutionary maintenance. On a daily basis, you will be responsible for:</p><p>Designing and improving CI/CD processes</p><p>Deploying and industrializing applications in GCP Cloud</p><p>Automating infrastructure with Infrastructure as Code</p><p>Containerizing and orchestrating services with Kubernetes / GKE</p><p>Administering and maintaining shared Data services, notably Airflow and Langfuse</p><p>Supporting Data teams in their deployments and configurations</p><p>Participating in access management, incident resolution, and Cloud cost optimization</p><p>Ensuring the application of security and governance best practices</p><p>Identifying opportunities for automation and continuous improvement</p><p>Technical Environment</p><p>Must Have:</p><p>GCP / Cloud</p><p>Kubernetes</p><p>Infrastructure as Code (ideally Terraform)</p><p>CI/CD &amp; DevOps practices</p><p>Containerization</p><p>Good understanding of network and infrastructure issues</p><p>If you also master:</p><p>GKE, Cloud Storage, Cloud SQL, Cloud Monitoring</p><p>Apache Kafka</p><p>Airflow</p><p>Bash / Python</p><p>This would be a real plus!</p><p><strong>Desired Candidate Profile</strong></p><p>You are a Senior DataOps Engineer, autonomous and comfortable in complex technical environments. You are recognized for your ability to:</p><ul><li>Solve complex technical problems</li><li>Work autonomously and manage your priorities</li><li>Collaborate effectively with diverse technical teams</li><li>Communicate clearly in writing and orally</li><li>Adopt a true DevOps &amp; Agile culture</li><li>Contribute to a continuous improvement approach</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><b><span>GEC – Global Experts Consulting recrute | Tech Lead Data / Big Data</span></b><br></p><br><p><span>Dans le cadre d’une nouvelle mission stratégique, nous recherchons un </span><b><span>Tech Lead Data / Big Data Senior</span></b><span> capable de conjuguer </span><b><span>expertise technique, architecture Data et leadership technique</span></b><span>, tout en restant fortement </span><b><span>hands-on</span></b><span>.</span><br></p><br><p><span>Expérience confirmée en </span><b><span>Data Engineering / Big Data</span></b><span>, avec idéalement </span><b><span>7 ans d’expérience ou plus</span></b><br></p><br><p><span>Expérience en tant que </span><b><span>Tech Lead, Lead Data Engineer ou référent technique</span></b><br></p><br><p><span>Très bonne maîtrise de </span><b><span>Apache Spark</span></b><span> et des architectures de traitement de données distribuées</span><br></p><br><p><span>Solide expérience sur </span><b><span>Kafka</span></b><span> et les problématiques de streaming / pipelines Data</span><br></p><br><p><span>Maîtrise de </span><b><span>Python, Scala et/ou Java</span></b><br></p><br><p><span>Bonne connaissance de l’écosystème </span><b><span>Hadoop : Hive, HDFS, HBase</span></b><br></p><br><p><span>Expérience avec </span><b><span>Elasticsearch, Oracle et SQL</span></b><br></p><br><p><span>Capacité Ã&nbsp; concevoir et faire évoluer des </span><b><span>architectures Data / Big Data robustes, performantes et scalables</span></b><br></p><br><p><span>Connaissance des architectures </span><b><span>REST / SOA / Cloud Native</span></b><br></p><br><p><span>Capacité Ã&nbsp; encadrer techniquement les développeurs : </span><b><span>mentoring, code review, bonnes pratiques, standards de développement et qualité du code</span></b><br></p><br><p><span>Capacité Ã&nbsp; intervenir sur l’ensemble du cycle : </span><b><span>conception, développement, tests, release, mise en production, RUN et résolution d’incidents</span></b><br></p><br><p><span>Nous recherchons avant tout un </span><b><span>Tech Lead qui reste proche du code et des problématiques techniques terrain</span></b><span>.</span><br></p><br><br> </div>

<p><font dir="auto" ><font dir="auto" >Job Description: Developing Power BI reports; Developing PowerApps applications and Power Automate flows; Creating test plans for tool enhancements (VBA); Testing and validating data (running jobs, etc.); Supporting and facilitating incident resolution using VBA; Providing methodological support to users; Writing support guides, basic methods, and test plans</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" ><font dir="auto" >Good level of French and English (speaking &amp; writing)</font></font></p><p><font dir="auto" ><font dir="auto" >Knowledge of structured and unstructured databases</font></font></p><p><font dir="auto" ><font dir="auto" >Mastery of Power BI (Dax, Power Query, Reporting)</font></font></p><p><font dir="auto" ><font dir="auto" >Proficiency in Power Apps and Power Automate</font></font></p><p><font dir="auto" ><font dir="auto" >VBA/macros/advanced functions development</font></font></p><p><font dir="auto" ><font dir="auto" >Mastery of SQL-type query languages</font></font></p><p><font dir="auto" ><font dir="auto" >Update the databases by adding missing data and removing errors</font></font></p><p><font dir="auto" ><font dir="auto" >Basic knowledge of: Snowflake/Data lake</font></font></p><p><font dir="auto" ><font dir="auto" >Acquire new knowledge.</font></font></p><p><font dir="auto" ><font dir="auto" >Valued skills: Synthesis skills, Critical analysis, Rigor, Customer Relationship Management (Communication, helpfulness, active listening).</font></font></p><p><font dir="auto" ><font dir="auto" >Knowledge of automotive culture</font></font></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job : <p>Your mission will be to add value to the company's data, develop decision-support tools, automate business processes, and integrate new Artificial Intelligence technologies into the company's activities.</p><br><br><p>You will work with various departments: Finance, HR, Production, Agriculture, Logistics, Quality, Sales, and Export.</p><br><br><p> Main responsibilities</p><br><br><p><strong>1. Data Analytics &amp; Business Intelligence</strong></p><br><br><ul><li>Collect, consolidate, and structure data from different sources.</li><li>Check the quality, consistency, and reliability of the data.</li><li>Perform statistical analyses and performance analyses.</li><li>Identify trends, anomalies, and key indicators to improve decision-making.</li><li>Design and develop dynamic and interactive dashboards using Power BI.</li><li>Automate the generation and updating of reports and KPIs.</li><li>Implement performance indicators adapted to different business units.</li></ul><p><strong>2. Process Automation</strong></p><br><br><ul><li>Identify repetitive tasks that can be automated.</li><li>Design and develop business process automation solutions.</li><li>Automate data collection, processing, transformation, and distribution.</li><li>Develop scripts and tools to reduce manual processing and the risk of errors.</li><li>Collaborate with different departments to identify new automation opportunities.</li></ul><p><strong>3. Artificial Intelligence</strong></p><br><br><ul><li>Identify AI use cases that offer added value to the company.</li><li>Integrate generative AI tools into business processes.</li><li>Use and integrate solutions such as ChatGPT, Claude, and other AI tools.</li><li>Develop AI assistants or solutions tailored to the needs of different departments.</li><li>Experiment with and implement solutions based on AI APIs and models.</li><li>Participate in establishing a Data &amp; AI culture within the company.</li></ul><p><strong>4. Development &amp; Integration</strong></p><br><br><ul><li>Develop scripts and applications for data processing and exploitation.</li><li>Connect different data sources and applications.</li><li>Participate in the integration of Data, BI, and AI tools into the company's information system.</li><li>Document developed solutions and ensure their maintenance and evolution.</li></ul> <br> Required profile : <ul><li>Master's degree (Bac+5) in Data Science, Data Analytics, Computer Science, Business Intelligence, Statistics, Artificial Intelligence, or equivalent training.</li><li>First successful experience in a similar role desired.</li><li>Very good analytical and problem-solving skills.</li><li>Strong interest in new technologies and Artificial Intelligence.</li><li>Ability to understand business issues and translate them into Data/BI/AI solutions.</li><li>Autonomy, curiosity, initiative, and ability to learn quickly.</li><li>Good interpersonal skills and ability to work with stakeholders from different departments.</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>Sorec</strong> is characterized by a <strong>strongly collaborative culture</strong>, where people, trust and employee well-being are central to the organization’s way of working. The company promotes high-quality working relationships, team cohesion and a close, supportive leadership style. This collaborative foundation is complemented by a <strong>moderate innovation focus</strong>, fostering initiative and openness to new ideas. A <strong>structured organizational framework</strong> supports operational efficiency, while competitive performance plays a more limited role. </p><br><br> <br> Job : <p>Reporting to the sector unit, your main mission will be to participate in the optimization of business performance through the analysis and use of sector data.</p><br><br><p>To this end, your main activities will be:&nbsp;</p><br><br><p>1. Collect, centralize and analyze data from different sources within the sector to identify trends, improvement opportunities, and potential risks.</p><br><br><p>2. Actively participate in the creation and implementation of BI solutions and decision-support tools including key performance indicators (KPIs) for monitoring sector activities.</p><br><br><p>3. Develop and implement dashboards and dynamic reports to provide business teams with a clear and up-to-date view of operational and financial performance.</p><br><br><p>4. Propose corrective actions and recommendations based on data analysis to improve the profitability, efficiency, and competitiveness of the sector.</p><br><br><p>5. Implement performance monitoring processes to adjust action plans based on the results obtained.</p><br><br><p>6. Participate in the optimization and modernization of systems to improve data performance, security, and interoperability across the sector, while acting as the interface between the sector and the DTSI.</p><br><br><p>7. Promote a data culture within the sector by raising awareness among teams about the importance of data in decision-making and by training them in data analysis tools and methods.</p><br><br><p>8. Ensure regular reporting by effectively communicating on business performance results and providing actionable insights for sector management.<br>&nbsp;</p><br><br> <br> <br> Required profile : <p>As a potential candidate, you:</p><br><br><ul><li>Have an Engineering degree in statistical data analysis with relevant experience, ideally in a similar role;</li></ul><p><strong>Required Skills: </strong></p><br><br><ul><li>Mastery of data management systems and BI practices</li><li>In-depth knowledge of analytical programming languages (SQL, Python, etc.)</li><li>Use of IT tools and dedicated software</li><li>Reporting and Communication</li><li>Project management</li><li>Rigor and organizational skills</li><li>Results orientation</li><li>Sense of innovation</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>APM Terminals</p><br><br><br><br><br><br><br><br><br><br><p>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.</p><br><br><p><br><b>What We Can Offer</b></p><br><br><p><br>At 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.</p><br><br><p><br>• Work with operational data that directly supports terminal performance and daily decision-making.<br>• Develop expertise in terminal systems, reporting processes, and data management practices.<br>• Collaborate with colleagues across multiple functions to support operational excellence.<br>• Contribute to a culture focused on accuracy, continuous improvement, and consistent operational performance.</p><br><br><p><br><b>Data Clerk</b></p><br><br><p><br>We are looking for a detail-oriented Data Clerk to support the accuracy, integrity, and reporting of operational data within our Terminal Operating System (TOS). In this role, you will play an important part in ensuring that terminal activity data is maintained accurately and reported consistently to support daily operations.</p><br><br><p><br>You will work closely with managers and operational teams, providing reliable information and reporting that helps support planning, monitoring, and decision-making. This position is well suited to someone who enjoys working with data, has strong attention to detail, and takes pride in delivering accurate and timely information.</p><br><br><p><br>As a Data Clerk, you will be responsible for maintaining high standards of data quality while supporting reporting requirements across the terminal. You will also collaborate with other teams, helping to ensure that data is available, understood, and utilised effectively across the organisation.</p><br><br><p><br><b>Key Responsibilities</b></p><br><br><p><br>•Verify and maintain the accuracy of terminal activity data within the Terminal Operating System (TOS).<br>•Monitor data quality and identify discrepancies to ensure accurate operational records.<br>•Generate daily, weekly, and monthly tracking reports.<br>•Prepare operational move summaries and other routine reporting outputs.<br>•Provide data support and assistance to teams across the terminal.<br>•Deliver timely data updates and reporting information to managers and departments.<br>•Support informed decision-making by maintaining reliable and accurate data records.</p><br><br><p><br><b>What We Are Looking For</b></p><br><br><p><br>•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.<br>•Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, or a related field.<br>•Proficiency in Microsoft Office applications, particularly Excel and Power BI.<br>•Basic database knowledge is advantageous.<br>•Familiarity with Terminal Operating Systems (TOS) or similar port management software is an advantage.<br>•Strong attention to detail with a clear commitment to maintaining data accuracy.<br>•Excellent organisational and time management skills, with the ability to prioritise tasks effectively.<br>•Collaborative and team-oriented approach to work.<br>•Strong communication skills and confidence in asking questions, highlighting issues, and sharing information proactively.</p><br><br><p><br>Success in this role will come from your ability to manage data with accuracy, maintain attention to detail in a fast-paced operational environment, and build effective working relationships across different teams. If you are analytical, organised, and motivated by producing high-quality information that supports operational performance, we would like to hear from you.</p><br><br><br><br><p><span><span>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.</span></span></p><br><br><br><p><span><span><span>We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing&nbsp; </span><span><span><span><span><span><span><span><span><span><span><span>accommodationrequests@maersk.com</span></span></span></span></span></span></span></span></span></span></span><span>.&nbsp;</span></span></span></p><br><br><br><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p><strong>As part of this role, your main tasks will be the following:</strong></p><br><br><ul><li>Design and develop <strong>robust and automated data pipelines</strong>.</li><li>Collect and integrate data from different sources.</li><li>Design and maintain <strong>ETL/ELT</strong> processes.</li><li>Develop and optimize <strong>SQL/BigQuery</strong> queries.</li><li>Structure datasets and models for BI and analysis.</li><li>Design, develop, and maintain <strong>Power Automate workflows</strong>.</li><li>Develop processes and automation in <strong>Python</strong>.</li><li>Ensure data quality, availability, and traceability.</li><li>Monitor pipelines and resolve incidents related to Data processes.</li><li>Optimize performance and <strong>BigQuery/GCP costs</strong>.</li><li>Implement best practices for security and data access management.</li><li>Collaborate closely with Data Analysts and business teams to provide reliable and easily usable datasets in Power BI.</li><li>Document the architectures, flows, and processes developed.</li></ul> <br> Required profile : <p><strong>Profile:</strong> Master's degree (Bac+5)</p><br><br><p>Rigor, autonomy, ability to solve technical problems, interest in optimization and automation, good communication skills, and ability to work with both technical and functional profiles.</p><br><br><p><strong>Experience:</strong> 1 to 3 years</p><br><br><p><strong>Skills:</strong></p><br><br><p><strong>Essential:</strong></p><br><br><ul><li>Good command of <strong>SQL</strong>.</li><li>Hands-on experience with <strong>Google Cloud Platform (GCP)</strong>.</li><li>Good command of <strong>BigQuery</strong>.</li><li>Proficiency in <strong>Python for data processing and automation</strong>.</li><li>Good knowledge of <strong>Power Automate</strong> for designing and automating workflows.</li><li>Understanding of Data architectures and <strong>ETL/ELT</strong> principles.</li><li>Minimum <strong>3 years of experience</strong> in Data Engineering or similar roles.</li></ul><p><strong>Desirable:</strong></p><br><br><ul><li>Experience with GCP services such as <strong>Cloud Storage, Cloud Functions/Cloud Run, Pub/Sub, Dataflow, or Composer</strong>.</li><li>Knowledge of partitioning, clustering, and BigQuery query optimization issues.</li><li>Experience with APIs and different data ingestion methods.</li><li>Knowledge of <strong>Git and CI/CD</strong>.</li><li>Knowledge of Power BI is a plus to understand the needs of the reporting layer.</li><li>Basics of Data Governance, IAM, and GCP security.</li><li>Knowledge of the <strong>Microsoft Power Platform</strong> ecosystem, especially <strong>Power Apps, Power BI, and Dataverse</strong>.</li></ul> <br><br> </div>

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>CAC (Centrale Automobile Chérifienne)</strong> is characterized by a strong <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its organization. A close management approach supports guidance, empowerment and long-term working relationships within committed teams. This dynamic is complemented by a <strong>competitive dimension</strong>, focused on performance, ambition and customer satisfaction. It is also supported by a structured <strong>organizational culture</strong>, ensuring rigor, efficiency and process reliability, while a more moderate <strong>innovative component</strong> fosters adaptability and continuous improvement. </p><br><br> <br> Job : <ul><li>You will leverage the company's data assets to design predictive models and integrate Artificial Intelligence solutions into our business processes.</li><li>You will also participate in the intelligent automation of our internal processes by integrating AI technologies aimed at enhancing their digitalization and efficiency.</li><li>In this role, you will develop predictive models specifically for predictive maintenance, inventory optimization, and customer segmentation and scoring, thereby contributing to an enriched 360° customer view.</li><li>Finally, you will maintain an active technological watch to identify and explore new applications of Artificial Intelligence relevant to our industry.</li></ul> <br> <br> Required profile : <p><strong>Technical Skills:</strong></p><br><br><ul><li>Proficiency in Python, ML/DL, APIs, Azure cloud (Data Factory/Fabric preferred),</li><li>Knowledge of OpenAI GPTs, OLLAMA, Claude, Gemini.</li><li>Basic understanding of MLOps (CI/CD, monitoring, containerization).</li><li>Good foundation in SQL and understanding of Data architecture.</li><li>Good understanding of DWH/Datalake (architecture, modeling, business sources).</li><li>Experience with data environments such as Azure, Databricks, &amp; simplification...</li><li>Proficiency in programming languages (Python, R, SQL) and Machine Learning libraries</li></ul><p><strong>Candidate Profile:</strong></p><br><br><ul><li>Master's degree (Bac+5) in AI, Data Science, Software Engineering, or Computer Science.</li><li>2-5 years of experience in Data/AI.</li><li>Ability to solve complex problems with a pragmatic approach.</li><li>Focus on business value and user experience.</li><li>Strong analytical skills, rigor, and autonomy.<br>&nbsp;</li></ul> <br><br> </div>

<p>We are looking for a Data Platform Engineer responsible for supporting the administration, governance, and operational management of the Databricks platform. The role focuses on ensuring platform stability, security, cost efficiency, and enabling data teams through standardized processes and automation.</p><p><b>YOUR RESPONSIBILITIES:</b></p><p>Platform Administration &amp; Governance</p><ul><li>Support the administration of Databricks environments (DEV, TEST, PROD)</li><li>Manage user access, roles, and permissions</li><li>Support identity provisioning via Azure AD / AWS IAM</li><li>Collaborate with cloud teams on connectivity, storage access, and security topics</li></ul><p>Workspace Operations &amp; Support</p><ul><li>Manage access to notebooks, jobs, clusters, and SQL Warehouses</li><li>Support cluster configuration and usage policies</li><li>Troubleshoot platform-related issues and coordinate with support teams</li><li>Maintain operational documentation and internal guidelines</li></ul><p>Data Governance &amp; Security</p><ul><li>Support Unity Catalog governance (catalogs, schemas, tables)</li><li>Manage access controls and data ownership</li><li>Ensure platform security standards and audit readiness</li><li>Contribute to compliance and governance processes</li></ul><p>DevOps &amp; Automation</p><ul><li>Support CI/CD processes for Databricks deployments</li><li>Participate in automation initiatives using Git-based workflows</li><li>Contribute to standard templates and deployment practices</li><li>Support lifecycle management across environments</li></ul><p>Cost &amp; Usage Management</p><ul><li>Monitor platform usage and identify optimization opportunities</li><li>Support cost tracking and reporting activities</li><li>Contribute to tagging and governance practices for cost attribution</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Master s degree (Bac+5) in Computer Science, Software Engineering, Data Engineering, or a related technical field</li><li>Minimum 1 years of experience as a Data Plateform Enginner</li><li>Good understanding of CI/CD concepts and Git-based workflows</li><li>Experience working in cloud-based data platforms or DevOps environments is a plus</li><li>Experience with Databricks administration (workspace management, access management, clusters, Unity Catalog is a plus)</li><li>Knowledge of Azure cloud services (preferred) or other cloud providers</li><li>Familiarity with Infrastructure as Code concepts (Terraform is a plus)</li><li>Scripting knowledge (Python or Bash is a plus)</li><li>Databricks certifications (ex: Databricks Certified Data Engineer, Databricks Platform Administrator)</li><li>Cloud certifications such as Azure Data Engineer, AWS Solutions Architect, or equivalent</li><li>Strong English communication skills (written and spoken)</li><li>Good analytical and troubleshooting skills</li><li>Ability to work in a collaborative and international environment</li><li>Proactive mindset and structured way of working</li><li>Databricks Expertise: Deep experience with Unity Catalog, Account Console, and Workspace administration</li><li>IaC &amp; Automation: Expert proficiency in Terraform; experience with Databricks CLI, Asset Bundles, and REST API</li><li>Cloud Infrastructure: Strong knowledge of Azure (preferred) or AWS/GCP networking and security</li><li>CI/CD Tooling: Proven experience with GitHub Actions, Azure DevOps, or GitLab CI</li><li>Scripting: Proficient in Python and Bash for platform automation</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <ul><li>Development of Power BI reports&nbsp;</li><li>Development of PowerApps applications&nbsp;and PowerAutomate flows&nbsp;</li><li>Carrying out acceptance testing for tool developments (VBA)&nbsp;</li><li>Test and validate data&nbsp;(launching jobs, etc.)&nbsp;</li><li>Support and lead incident resolution&nbsp;in VBA&nbsp;</li><li>Provide methodological support to users&nbsp;</li><li>Write support guides, basic methods, and acceptance test guides&nbsp;</li></ul><br> <br> Required profile : <ul><li>Good level in French and English (Spoken &amp; written)&nbsp;</li><li>Knowledge of structured&nbsp;and unstructured&nbsp;databases&nbsp;</li><li>Proficiency&nbsp;in Power BI (Dax, Power Query, Reporting)&nbsp;</li><li>Proficiency&nbsp;in Power Apps and&nbsp;Power Automate&nbsp;</li><li>Development&nbsp;in VBA/macros/advanced functions&nbsp;</li><li>Proficiency&nbsp;in SQL-like query languages&nbsp;</li><li>Update databases by adding missing data and removing errors&nbsp;</li><li>Have basic knowledge&nbsp;in: Snowflake/Data&nbsp;lake </li><li>Ability to acquire new knowledge.&nbsp;</li></ul><p><strong>Appreciated skills:&nbsp;</strong></p><br><br><ul><li>Synthesis skills&nbsp;</li><li>Critical analysis&nbsp;</li><li>Rigor&nbsp;</li><li>Customer Relationship Management (Communication, helpfulness, active listening).&nbsp;</li><li>Knowledge of the automotive industry </li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p><strong>About AbbVie</strong></p><br><p>AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;www.abbvie.com. Follow @abbvie on&nbsp;LinkedIn,&nbsp;Facebook,&nbsp;Instagram,&nbsp;X&nbsp;and&nbsp;YouTube.</p><br><br>Job Description<br><br><p>This is an exciting opportunity to work on a cross-functional team preparing data and enabling modeling activities in support of Product Development and Manufacturing Sciences organizations at AbbVie.</p><br><p>Within the Product Development laboratories, the objective is to partner with modeling SMEs and the Digital organization to prepare data from source systems and data lakes, and enable model execution for statistical, hybrid and mechanistic models, with the ultimate objective to streamline and automate the process from data collection through model execution in a “Lab-in-the-Loop” environment. This environment should enable end-to-end automation of laboratory data and modeling in a way that is accessible for all laboratory scientists to access. It should also provide an opportunity to gain a deep understanding of bioprocess data, and also to learn multivariate, hybrid and machine learning modeling in support of deeper scientific insights, and upholding the highest standards of quality and productivity.</p><br><p>Responsibilities:</p><br><ul><li>Partner&nbsp;with Manufacturing Sciences, the objective is to compile, clean and feature engineer the same laboratory and commercial data sets for multivariate and hybrid “Digital Twin” process models,</li><li>Partner&nbsp;with the Digital organization to deliver end-to-end data pipelines, products, and models from successful proofs of concept.&nbsp;</li><li>Routinely demonstrate scientific initiative and creativity in research or development activities.</li><li>Highly autonomous and productive in performing laboratory research or method development, requiring only minimal direction from or interaction with supervisor.</li><li>Formulate conclusions and design follow-on experiments based on multidisciplinary data.</li><li>May initiate new areas of investigation that are scientifically meaningful, reliable, and can be incorporated directly into a research or development program.</li><li>A primary author of publications, presentations, regulatory documents and/or primary inventor of patents.</li><li>Demonstrates high proficiency across a wide range of relevant technologies.</li><li>Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, controlled drug and radioactive compounds, GxP compliance, and animal care where applicable.</li></ul><br>Qualifications<br><br><ul><li>Bachelor’s Degree or equivalent education and typically 10 years of experience, Master’s Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary.</li><li>Possess thorough theoretical and practical understanding of own scientific discipline.</li></ul><p>Preferred Qualifications:</p><br><ul><li>Masters in Data Engineering, Data Science or related</li><li>Prior experience in biotech or pharmaceuticals preferred</li><li>Strong experience in programming, including Python, SQL, etc.</li><li>Experience with standard cloud-based data lake infrastructure</li><li>Experience using source code management tools (e.g. GitHub)</li><li>Familiarity with data pipeline tools such as KNime, dbt, etc.</li><li>Familiarity with model management and pipeline tools preferred (ML Flow, DataBricks, etc.)</li><li>Familiarity or willingness to learn ServiceNow and support application owner and access review for data and modeling capabilities</li><li>Experience with biotech data systems preferred: AVEVA PI, LIMS, ELN, MES, ERP, etc.</li><li>Experience with laboratory automation and data</li><li>Some experience with BI tools preferred (e.g. Spotfire, PowerBI, etc.)</li><li>Experience in SIMCA, JMP, or hybrid modeling preferred</li><li>Interest in learning, or experience with process, statistical, hybrid, mechanistic, and/or machine learning models.</li></ul><br>Additional Information<br><br><p>Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or&nbsp;local law:&nbsp;​</p><br><ul><li>The compensation range described below is the range of possible base pay compensation that the Company&nbsp;believes in&nbsp;good faith it will pay for this role at the&nbsp;time&nbsp;of&nbsp;this posting based on the job grade for this position.&nbsp;Individual&nbsp;compensation paid within this range will depend on many factors including geographic&nbsp;location,&nbsp;and&nbsp;we&nbsp;may&nbsp;ultimately&nbsp;pay&nbsp;more or less than the posted range. This range may be&nbsp;modified&nbsp;in the&nbsp;future.&nbsp;​</li><li>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),&nbsp;medical/dental/vision&nbsp;insurance and 401(k) to eligible&nbsp;employees.​</li><li>This job is eligible to&nbsp;participate&nbsp;in our short-term incentive&nbsp;programs.&nbsp;​</li></ul><p>Note: No amount of pay&nbsp;is considered to be&nbsp;wages or compensation until such amount is earned, vested, and&nbsp;determinable.&nbsp;The&nbsp;amount&nbsp;and&nbsp;availability&nbsp;of any&nbsp;bonus,&nbsp;commission, incentive, benefits, or any other form of&nbsp;compensation and benefits&nbsp;that are allocable to a particular employee&nbsp;remains&nbsp;in the Company's&nbsp;sole&nbsp;and&nbsp;absolute&nbsp;discretion unless and until paid and&nbsp;may be&nbsp;modified&nbsp;at the Company’s sole and absolute discretion, consistent with&nbsp;applicable law.&nbsp;​</p><br><p>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.&nbsp;</p><br><p>US &amp; Puerto Rico only - to learn more, visit&nbsp;https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:</p><br><p>https://www.abbvie.com/join-us/reasonable-accommodations.html</p><br> </div>