وظائف محلل أعمال في المغرب في المغرب 2026

من ٠ إلى ٠ سنة بيت.كوم

Industry 4.0 Data Engineer

On-site - المغرب ٢٤ يونيو ٢٠٢٦

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Data Engineer Rabat Technopolis R&D Center Driving the future of automotive. We’re Lear For You. Company Overview Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Our diverse team of more than 165,000 talented employees in 37 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better™ by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world and ranks #186 on the Fortune 500. Further information about Lear is available at lear.com, or follow us on Twitter @LearCorporation Lear has been operating in Morocco since 2003, offering a wide range of products and demonstrating strong expertise in electrical distribution systems, electronics, surface materials, and seating JIT(Just-in-Time).  With its 17 cutting-edge production and engineering sites located in Rabat, Tangier, Kenitra, and Meknes, Lear Morocco has become a major and significant player in the industry employing over 23,000 diverse & talented team members. Lear Morocco has been certified as a Top Employer for the fifth consecutive time in recognition of its unwavering commitment to operational excellence, innovation, and fostering supportive work environment. Position overview: As a Data Engineer, you will work with cross-functional stakeholders to understand operational use cases and deliver data solutions that support business decision-making. You will be responsible for the development of data pipelines, ensuring their security, reliability, and efficiency, as well as the design and maintenance of scalable datasets for analytics and reporting. While your primary focus will be data engineering, you will also have opportunities to contribute to broader data projects, including work that extends into analytics, applications, or user-facing components. Key Responsibilities: <ul> <li>Design, develop, and maintain data pipelines and ingestion processes to integrate data from multiple enterprise systems</li> <li>Ensure the reliability, efficiency, and performance of data pipelines and platform components</li> <li>Develop and maintain well-structured datasets, including contributing to metadata management and semantic modelling to ensure data is clearly defined and aligned with business meaning</li> <li>Maintain data quality, lineage, and observability, ensuring datasets are trusted, traceable, and fit for use</li> <li>Manage changes to data structures and pipelines over time, including schema evolution, refactoring, and deprecation activities</li> <li>Apply data security, access control, and compliance standards, including data classification, permissions, and appropriate handling of sensitive data</li> <li>Collaborate with stakeholders (e.g. SMEs, analysts, business users) to understand requirements, support correct data usage, and contribute to data governance activities</li> <li>Support the usability and maintainability of data products through documentation, knowledge sharing, and resolution of day-to-day support queries</li> <li>Contribute to broader data initiatives or projects where required, including work that may extend beyond core data engineering responsibilities</li> </ul> Key skills and Qualifications: <ul> <li>Master’s degree in computer science, electronics/systems/software engineering, data science, or a related technical field</li> <li>2-5 years of experience in data engineering, data platform development, or ETL/data pipeline development</li> </ul> <ul> <li>Strong experience in Python and SQL, with exposure to distributed processing frameworks (e.g. Spark)</li> <li>Proven experience developing data pipelines and ETL processes from disparate data sources</li> </ul> <ul> <li>Experience of working within a multinational organization with international, cross functional teams</li> </ul> <ul> <li>Experience working with relational and/or large-scale datasets in enterprise environments</li> <li>Experience working in Agile environments</li> <li>Strong problem-solving skills and ability to work independently and collaboratively</li> <li>Effective communication skills to engage with both technical and non-technical stakeholders, with spoken and written English language proficiency</li> <li>Competent to reach into data sources to create new data extraction interfaces</li> </ul> Why Lear We offer a fantastic place to work, opportunity to grow and being part of a company who places its people first. What We Offer <ul> <li>Competitive Salary, </li> <li>Competitive social perks including:  </li> </ul> <ul> <li> <ul> <li>Medical insurance </li> <li>Social security benefits, </li> <li>Transportation allowance, </li> <li>Canteen in site </li> </ul> </li> </ul> <ul> <li>Paid Vacations </li> <li>Flexible working hours, </li> <li>Access to Learning and development opportunities </li> <li>Opportunities to give back to the community</li> <li>Meaningful work that makes a difference in the world</li> </ul> Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace. Applicants must submit their resumes for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation. </div>

من ٠ إلى ٠ سنة بيت.كوم

Data Scientist / AI Engineer

On-site - المغرب ١٦ يونيو ٢٠٢٦

تكنولوجيا المعلومات

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : CAC (Centrale Automobile Chérifienne) is characterized by a strong collaborative culture, 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 competitive dimension, focused on performance, ambition and customer satisfaction. It is also supported by a structured organizational culture, ensuring rigor, efficiency and process reliability, while a more moderate innovative component fosters adaptability and continuous improvement. Job : <ul><li>You will use the company's data 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 to strengthen their digitalization and efficiency.</li><li>In this role, you will develop predictive models for predictive maintenance, inventory optimization, and customer segmentation and scoring, thus contributing to enriching the 360° customer view.</li><li>Finally, you will ensure active technological monitoring to identify and explore new uses of Artificial Intelligence applicable to our business sector.</li></ul> Required profile : Technical Skills: <ul><li>Proficiency in Python, ML/DL, API, 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 in data environments such as Azure, Databricks, & popularization...</li><li>Proficiency in programming languages (Python, R, SQL) and Machine Learning libraries</li></ul>Profile sought: <ul><li>Master's degree (Bac+5) in AI, Data Science, Software Engineering, 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, autonomy.  </li></ul> </div>

من ٠ إلى ٠ سنة Naukri Gulf

Senior Data Engineer

On-site - المغرب - بولمان ١٥ يونيو ٢٠٢٦

الهندسة

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Your responsibilities will include: Developing data pipelines. Designing and maintaining data architectures. Integrating data. Optimizing processes. Automating deployments. Providing support and continuous improvement.</div></section><section>Desired Candidate ProfileMaster's degree (Bac+5) in Computer Science. Experience: 4 years of experience in Data Engineering. Required skills: Python, SQL, ETL, Cloud, Data Warehouse, CI/CD. Cloud experience preferred.</section>

من ٠ إلى ٠ سنة Naukri Gulf

Senior Data Engineer

On-site - المغرب - بولمان ١٢ يونيو ٢٠٢٦

تكنولوجيا المعلومات

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Job Description: We are looking for a Senior Data Engineer to work on strategic projects involving the collection, processing, and exploitation of large-scale data. The consultant will work within the Data teams and will be responsible for designing, implementing, and maintaining robust data pipelines on the Google Cloud Platform (GCP) environment, while ensuring the governance, performance, and reliability of the processes. Responsibilities include: designing and developing complex data pipelines (ETL/ELT) using Python and SQL; data integration and transformation; setting up and automating the data infrastructure; implementing CI/CD practices to ensure reproducible and scalable deployments; deploying and monitoring processes; managing access and data security; monitoring and optimizing processing performance; participating in project committees; writing technical documentation; and providing support.</div></section><section>Desired Candidate Profile<h2>Qualifications</h2>I have a Master's degree in Computer ScienceOver 5 years of experience as a Data Engineer in Cloud environments: particularly GCPExcellent mastery of Google Cloud Platform.Very good skills in developing ETL pipelines with Python and SQL.Mastery of best practices for security and performance in a cloud environment.My mastery of CI/CD tools and practicesAbility to work independently and interact with technical and technical teams.Rigour, analytical skills, initiative.Good level of communication (written and oral).Professional English.</section>

من ٠ إلى ٠ سنة Naukri Gulf

Data Governance Specialist

On-site - المغرب - بولمان ١١ يونيو ٢٠٢٦

تكنولوجيا المعلومات

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Missions: D finir et mettre en uvre des cadres, politiques et standards de gouvernance des donn es tablir les mod les de propri t et de stewardship des donn es D velopper dictionnaires de donn es, glossaires m tier et taxonomies Assurer la conformit (GDPR, BCBS 239, etc.) Concevoir des r gles de qualit , profilage, monitoring et tableaux de bord Cartographier la tra abilit des donn es (end to end lineage) D ployer et administrer des outils de catalogue et de gestion des m tadonn es (Informatica, Collibra, Alation, Microsoft Purview) Int grer la gouvernance dans les pipelines ETL/ELT et environnements BI Automatiser les contr les qualit via Python ou dbt Former et accompagner les quipes m tier et techniques</div></section><section>Desired Candidate ProfileProfil recherch : Master en informatique, syst mes d information, gestion des donn es ou quivalent 3 6 ans d exp rience en gouvernance, gestion ou ing nierie des donn es Anglais courant + une autre langue (fran ais, arabe, espagnol, allemand) Exp rience en conseil ou environnement multi client (atout) Comp tences techniques : Informatica (IDMC, Axon, EDC, Data Quality) obligatoire SQL avanc (Snowflake, BigQuery, Synapse, Redshift) Python pour automatisation Outils qualit : Great Expectations, Monte Carlo, Soda ETL/ELT : dbt, Airflow, Informatica Architectures data : lac, lakehouse, entrep t Cloud : Azure Purview, AWS Glue, Google Dataplex (appr ci ) Normes : DAMA-DMBOK, BCBS 239, ISO 8000</section>

من ٠ إلى ٠ سنة Naukri Gulf

Data Engineer Azure

On-site - المغرب - بولمان ٢٧ مايو ٢٠٢٦

تكنولوجيا المعلومات

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Context : As part of a migration project to the Azure cloud, we are looking for a Data Engineer for our client capable of designing, developing and optimizing robust and scalable data pipelines, within a Big Data environment based on a Medallion architecture (Azure Synapse Analytics, Apache Spark, Python/SQL). <ul> <li>Start date: ASAP</li> <li>Location: Casablanca, Morocco</li> </ul> Missions : <ul> <li>Design and develop data ingestion and transformation pipelines</li> <li>Participate in the implementation and evolution of a Data M architecture (Bronze/Silver/Gold)</li> <li>Developing Big Data processing with Spark (PySpark / Spark SQL)</li> <li>Industrialize data flows on Azure Synapse Analytics</li> <li>Optimize the performance of SQL processing and queries</li> <li>Ensuring the quality, reliability, and traceability of data</li> <li>Implement monitoring and alerting mechanisms</li> <li>Participate in technical architecture choices and best practices in Data Engineering</li> <li>Collaborating with Data, BI, Data Scientist and third-party teams</li> <li>Participate in the testing, deployment, and support phases</li> </ul> Required technical skills: Cloud & Data Platform <ul> <li>Azure Synapse Analytics</li> <li>Databricks</li> <li>Azure Data Lake Storage (ADLS)</li> <li>Azure Data Factory (ADF) appr ci </li> <li>Architecture Data Lakehouse</li> </ul> Big Data <ul> <li>Apache Spark, Spark SQL, PySpark</li> <li>Optimization of distributed treatments</li> </ul> Development <ul> <li>Python, advanced SQL, SQL performance management</li> </ul> Architecture Data <ul> <li>Architecture Medallion (Bronze / Silver / Gold)</li> <li>Data modeling, batch workflow management</li> </ul> Tools & Methodologies <ul> <li>Git</li> <li>CI/CD appr ci</li> </ul> Key advantage: <ul> <li>Experience with generative AI, notably Claude Code (a huge plus)</li> </ul></div></section><section>Desired Candidate ProfileSearch profile: <ul> <li>Higher education (Master's degree in computer science, data science or equivalent)</li> <li>Exp rience confirm e en Data Engineering sur Azure</li> <li>Mastery of Spark pipelines and Medallion architecture</li> <li>Autonomy, rigor, ability to work in an agile team</li> </ul></section>

من ٠ إلى ٠ سنة بيت.كوم

Conversational Data Collection Associate

عن بُعد - المغرب ٢٦ مايو ٢٠٢٦

النفط والغاز والطاقة

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Overview We are seeking participants for a conversational audio recording project involving natural customer support-style conversations using provided prompts and instructions. Selected participants may complete recordings individually or with a partner depending on the assignment type and language requirements. Please note: submitting interest through Workable and/or the referral form does not guarantee participation or selection for the project. Due to project volume, language requirements, and limited assignment availability, participant selection and scheduling will be based on operational needs, language alignment, quality review, and a first come, first served model. Project Description This project involves recording approximately 1 hour of natural audio conversations based on customer support scenarios and prompts. Depending on the assignment, participants may: Record individually or with a partner Play a role such as Customer or Support Agent Be asked to record in one or two languages depending on the assignment scope Example conversation topics may include: Verifying account details Solving basic technical issues Explaining simple policies or troubleshooting steps All recordings must be completed in a quiet, noise-free environment to ensure audio quality standards are met. Participant Responsibilities Record conversations following provided instructions and prompts Speak naturally and clearly during recordings Participate in assigned role-based scenarios Ensure recordings are completed in a quiet environment Upload files correctly following project instructions Re-record assignments if quality requirements are not met Complete assignments within project deadlines Selection & Participation Process Participant submits interest through Workable and/or the referral form Participant information is reviewed based on language alignment and project needs Selected participants may receive additional onboarding instructions and agreement documentation Approved participants are scheduled based on project demand, pairing availability, and language needs Submission of interest does not guarantee immediate assignment, onboarding, or participation. Payment Information Participants will be paid per approved assignment. Assignments involve approximately 1 hour of recording time Pay Rate for 1 Hour of Recording: $20. 00 USD Payment is based on approved work and successful quality review Work that does not meet quality standards may require re-recording or may not be approved for payment Payment timelines and methods will vary depending on participant onboarding type and project structure Important Requirements Approximately 1 hour of recording per assignment Speak naturally (not robotic or scripted sounding) Follow instructions carefully Maintain clear audio quality with minimal background noise Be available for potential re-record requests if needed Technical Requirements Computer or laptop with internet access Working microphone/headset Ability to use: Google Sheets Google Drive Zencastr Ability to download, rename, and upload files correctly Eligibility Criteria Strong communication skills in required language(s) Ability to follow instructions and meet deadlines Attention to detail Ability to participate in conversational recordings Availability aligned with project timelines and assignment needs Agreement & Acknowledgement Selected participants may be required to sign an agreement and acknowledgement form confirming: Understanding of project instructions and requirements Acceptance of quality review and payment terms Consent for project-related use of recorded audio data Fixed Pay Rates (Project-Specific / No Ranges) Please note: These approved premium rates are specific to this project scope and launch phase only. Rates are fixed and non-negotiable. For participants currently onboarded through Deel: Existing Deel rates and onboarding structures may remain in place depending on assignment type and operational alignment. </div>

من ٠ إلى ٠ سنة بيت.كوم

Software Engineer - Data Scientist

On-site - المغرب ٢٢ مايو ٢٠٢٦

تكنولوجيا المعلومات

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Publication date : May 21, 2026, 12:00AM Vidéo EVP Déclaration de mission de l'entrepriseJoin us at Orange Business! 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. 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. À propos du rôleWe are looking for a Data Scientist with an agile mindset who can move seamlessly between fast experimentation and scalable delivery. You will be able to build Proof of Concepts (PoCs) quickly, while also contributing to production-level, high-scalability AI initiatives. Key responsibilities <ul><li>Deliver PoCs: design, develop, and validate AI/analytics prototypes to demonstrate value and support decision-making.</li><li>Build scalable AI solutions: develop robust models and data-driven services that can operate reliably in production.</li><li>Develop automation use cases: create AI-driven automation to optimize workflows and improve efficiency.</li><li>Create predictive models: build and deploy models for prediction, classification, forecasting, and decision support.</li><li>Implement Generative AI (GenAI): contribute to GenAI use cases (e.g., assistants, text generation, document-related intelligence), when relevant.</li><li>Work with engineering and business stakeholders: collaborate across teams to translate needs into technical solutions and measurable outcomes.</li><li>Ensure model and data quality: monitor performance, validate results, and improve reliability over time (data quality, evaluation, documentation).</li><li>Communicate results clearly: present insights, model behavior, and outcomes to both technical and non-technical audiences.</li></ul>The role will cover a broad range of use cases, including: <ul><li>Automation and optimization of business workflows</li><li>Predictive analytics (forecasting, classification, churn/retention, etc.)</li><li>Generative AI (GenAI) solutions where relevant</li></ul> À propos de vousTechnical skills <ul><li>Statistical analysis & experimentation (hypothesis testing, A/B testing, causal thinking basics)</li><li>Programming for data science: Python and/or R<ul><li>Data wrangling, modeling workflows, reproducible code</li></ul></li><li>Data handling & large datasets<ul><li>SQL (must-have)</li><li>Scalable data concepts (and Spark if applicable)</li></ul></li><li>Machine Learning<ul><li>Supervised/unsupervised learning, feature engineering, evaluation metrics</li></ul></li><li>Deep Learning (optional but valued)<ul><li>Core neural network concepts; frameworks as applicable</li></ul></li><li>Generative AI (GenAI) & LLM concepts (depending on role)<ul><li>Prompting, embeddings, RAG, evaluation basics, safe usage</li></ul></li><li>LLM development tooling (if GenAI is in scope)<ul><li>Example frameworks: LangChain / LlamaIndex (or equivalents)</li></ul></li><li>Data pipelines & ETL/ELT<ul><li>Orchestration, data quality, reliable data preparation</li></ul></li><li>Data modeling<ul><li>Dimensional modeling concepts (star/snowflake), schema design mindset</li></ul></li><li>Model evaluation & validation<ul><li>Cross-validation, offline/online monitoring concepts</li></ul></li><li>MLOps fundamentals<ul><li>Deployment concepts, versioning, monitoring, retraining workflows</li></ul></li><li>Data visualization & storytelling<ul><li>BI awareness + dashboards (tools depending on your stack)</li></ul></li></ul>Soft skills <ul><li>Agile mindset (iterate quickly on PoCs and evolve to scalable solutions)</li><li>Strong problem-solving & analytical thinking</li><li>Ability to translate business needs into data solutions (clear success metrics)</li><li>Communication skills (explain results, assumptions, limitations)</li><li>Collaboration with Engineering/Product/Business teams</li><li>Ownership & accountability (follow through on impact)</li><li>Continuous learning (especially in fast-changing AI/GenAI domains)</li><li>Quality, ethics & responsibility (bias awareness, data governance mindset)</li></ul> You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas. Informations supplémentaires• Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world. • Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working). • Professional Development: training programs and upskilling/re-skilling opportunities. • Career Growth: Internal growth and mobility opportunities within Orange. • Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events. • Reward Programs: Employee Referral Program, Change Maker Awards. Égalité des chances en matière d'emploiRegardless 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. Récompenses.. At Orange, only your skills matter. 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. </div>

من ٠ إلى ٠ سنة Naukri Gulf

Data Architect

On-site - المغرب - الدار البيضاء ١٣ يوليو ٢٠٢٦

تكنولوجيا المعلومات

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

من ٠ إلى ٠ سنة Naukri Gulf

Data Engineer

On-site - المغرب - الرباط ١٣ يوليو ٢٠٢٦

تكنولوجيا المعلومات

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

من ٠ إلى ٠ سنة Naukri Gulf

Data Engineer

On-site - المغرب - الدار البيضاء ١٣ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Job Description <div> As an experienced Data Engineer, you will be responsible for: <ul> <li>Design, develop, and maintain robust and scalable ETL/ELT data pipelines using Databricks, Python , and SQL</li> <li> Integrate data from multiple sources (databases, files, APIs, etc.)</li> <li> Transform and clean the data to guarantee its quality and consistency</li> <li> Automate data processing tasks for efficient and reliable execution</li> <li> Implement monitoring and alert processes to ensure pipeline availability and health.</li> <li> Collaborating with data analysts and data scientists to understand their data needs and provide them with high-quality data</li> <li> Document data pipelines and processes clearly and concisely</li> <li> Stay up-to-date on the latest technologies and trends in Big Data and data analytics.</li></ul></div></div></section><section>Desired Candidate ProfileQualifications <div> <ul> <li> Degree in computer engineering, mathematics, statistics or a related field</li> <li> Proficiency in English, both written and spoken. </li> <li> Minimum 5 years of experience as a Data Engineer </li> <li> Expertise in Databricks, Python and SQL</li> <li> Experience in data integration, data transformation, and data cleansing</li> <li> Solid understanding of Big Data architectures</li> <li> Experience in developing batch and streaming data pipelines</li> <li> Experience in setting up monitoring and alert processes</li> <li> Excellent communication and collaboration skills</li> </ul> Ability to work independently and manage multiple projects simultaneously. Team spirit and willingness to share knowledge.</div></section>

من ٠ إلى ٠ سنة Naukri Gulf

Data Engineer

On-site - المغرب - بولمان ٨ يوليو ٢٠٢٦

الهندسة

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Responsible for executing test cases, validating results and managing test data, primarily in remote-capable environments ( SiL , log-based validation, partially HiL support) Structured and disciplined execution mindset Ability to interpret results, not just record them Experience with large test campaigns</div></section><section>Desired Candidate Profile<ul><li>Expertise Execute defined test cases in SiL / remote environments</li><li>Collect and analyze test data and logs</li><li>Identify deviations and prepare structured reports</li><li>Support PR (Problem Report) creation and tracking</li><li>Ensure data quality and completeness</li><li>Interface with automation and test design teams</li><li>Experience in Test execution, Data analysis, log interpretation</li><li>Basic understanding of vehicle systems and ECU behavior</li><li>Experience between 3 - 5 years'</li></ul></section>

من ٠ إلى ٠ سنة Naukri Gulf

Data Engineer

On-site - المغرب - الرباط ٨ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Job Description: As a Senior Data Engineer, your role will be to design, code, test, and deploy data ingestion, processing, modeling, and valorization pipelines so that this data can be presented and visualized through web applications, using modern technologies. Your main responsibilities will include: Working in Data and Cloud environments, particularly GCP; Leveraging BigQuery and advanced SQL on large volumes of data; Integrating new LLM technologies into your development routine; Managing real-time streams with Pub/Sub; Automating data workflows via GitLab CI/CD and Docker Compose; Versioning code with Git; Collaborating in an agile environment (Scrum); and Data modeling and preparation: designing optimized pipelines in BigQuery, ensuring the quality, reliability, and consistency of analyses. Respect deadlines while maintaining high standards of quality and excellence. Communicate clearly and effectively in writing and orally in French for smooth interactions with the business and teams. Analyze situations and propose appropriate solutions while identifying areas for improvement. Actively collaborate with team members, share knowledge and foster a team spirit to achieve common goals. Apply a continuous improvement mindset to optimize practices and results.</div></section><section>Desired Candidate ProfileCompany Description: At Devoteam, we are Digital Transformakers. Respect, honesty, and passion drive our team every day. Together, we help our clients win the digital battle: from consulting and implementing innovative technologies to ensuring user adoption. Cloud, Cybersecurity, Data, DevOps, Fullstack Development, Low Code, and RPA hold no secrets for our team! Our 10,000+ employees are certified, trained, and supported daily to take on new and innovative challenges. A leader in Cloud, Cybersecurity, and Data in EMEA, the Devoteam Group achieved a revenue of €1.036 billion in 2022 and aims to double it within the next 5 years. Devoteam Morocco, a leading player in IT expertise for over 30 years (350+ consultants), is accelerating its growth by developing its nearshore expertise activities to meet the needs of our French, European, and Middle Eastern clients. Are you ready to join us and take on this challenge together?Qualifications For this position, you will need: Proficiency in DBT for data transformation and orchestration. Significant experience in data modeling and implementation of semantic layers with Looker/LookML. Knowledge of machine learning and Agentic. Experience with the Google suite.</section>

من ٠ إلى ٠ سنة Naukri Gulf

Data Engineer

On-site - المغرب - بولمان ٧ يوليو ٢٠٢٦

تكنولوجيا المعلومات

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

من ٠ إلى ٠ سنة Naukri Gulf

Data Specialist

On-site - المغرب - بولمان ٦ يوليو ٢٠٢٦

تكنولوجيا المعلومات

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

من ٠ إلى ٠ سنة Naukri Gulf

Data Engineer

On-site - المغرب - بولمان ١ يوليو ٢٠٢٦

تكنولوجيا المعلومات

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">The consultant will be responsible for: Designing and developing optimized data pipelines (ingestion, processing, modeling, valorization). Mastering and using DBT for data transformation and orchestration. Exploiting BigQuery and advanced SQL on large volumes of data. Implementing semantic layers with Looker / LookML. Modeling data ensuring the quality, reliability, and consistency of analyses. Managing real-time flows with Pub/Sub (nice to have). Automating data workflows via GitLab CI/CD and Docker Compose. Versioning code with Git. Collaborating in an agile Scrum environment. Clearly communicating with business and technical teams in French. Analyzing situations and proposing appropriate solutions by identifying areas for improvement. Applying a spirit of continuous improvement to optimize practices and results.</div></section><section>Desired Candidate Profile<h2>Qualifications</h2>Graduated from a Bac+5 in an engineering school or equivalent university with a specialization in IT, or with equivalent significant experience.Experience: 3 to 7 years of experience in Data Engineering DBT / SQL.Bac+5 training (engineering school or university) oriented towards IT or equivalent experience.<h2>Required Skills:</h2><ul><li>Must have: DBT, GCP, BigQuery, advanced SQL, Looker / LookML, data modeling</li><li>Nice to have: Pub/Sub, GitLab CI/CD, Docker Compose, Git, Scrum / Agile</li></ul></section>

من ٠ إلى ٠ سنة بيت.كوم

Senior Python Data Scraping Engineer

عن بُعد - المغرب ١٨ يونيو ٢٠٢٦

أخرى

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> 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. 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. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. 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. Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. 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. A methodical, detail-oriented approach and the ability to work independently are 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) 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. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. </div>

من ٠ إلى ٠ سنة بيت.كوم

Senior Python Data Scraping Engineer

عن بُعد - المغرب ٢٩ مايو ٢٠٢٦

أخرى

من ٠ إلى ٠ سنة Naukri Gulf

Data and AI Consultant

On-site - المغرب - بولمان ٢٧ مايو ٢٠٢٦

تكنولوجيا المعلومات

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Context : As part of strengthening the DATA&AI development team, we are looking for a consultant for our client to participate in the design, development and industrialization of Data, BI and Artificial Intelligence solutions, in order to enhance the value of the company's data and support its digital transformation. <ul> <li>Duration: 110 JH renewable</li> <li>Start date: ASAP</li> <li>Location: Casablanca, Morocco</li> </ul> Main tasks: <ul> <li>Managing the data lifecycle: extraction, transformation, loading and valorization via pipelines and dashboards</li> <li>Develop and maintain ETL flows (Talend Open Studio, Python) and orchestrate workflows with Apache Airflow</li> <li>Design and deploy interactive dashboards with Qlik Sense</li> <li>Use Python to automate processes and perform advanced analyses</li> <li>Designing, training and optimizing AI models (Machine Learning, Deep Learning, NLP, Computer Vision)</li> <li>Industrializing AI solutions (technical foundation, integration into existing applications)</li> <li>Define and implement robust and scalable AI architectures (APIs, microservices, MLOps)</li> <li>Clean, transform and ensure the quality of datasets for model training</li> <li>Collaborating with third-party teams, Data and Dev to ensure production deployment</li> <li>To ensure technological monitoring in order to enrich the technical foundation</li> </ul> Additional activities: <ul> <li>Attend the technical and functional scoping workshops</li> <li>Communicating with project stakeholders</li> </ul> Required technical skills: <ul> <li>ETL : Talend Open Studio, Python, Apache Airflow</li> <li>BI : Click Sense</li> <li>Python: automation, analysis, AI development (Pandas, NumPy)</li> <li>Frameworks IA : TensorFlow, PyTorch, Scikit-learn</li> <li>AI Industrialization: Technical Foundation, Integration, MLOps</li> <li>Data Governance and Quality</li> <li>Ability to transform business needs into high-performance Data & AI solutions</li> </ul> Behavioral skills: <ul> <li>Collaborative work with developers and technical teams</li> <li>Strong commitment and availability</li> </ul></div></section>

من ٠ إلى ٠ سنة بيت.كوم

Data Engineer Azure en Freelance

On-site - المغرب ٢٦ مايو ٢٠٢٦

المحاسبة والمالية والبنوك

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Contexte : Dans le cadre d’un projet de migration vers le cloud Azure, nous recherchons pour notre client un(e) Data Engineer capable de concevoir, développer et optimiser des pipelines de données robustes et scalables, au sein d’un environnement Big Data basé sur une architecture Médaillon (Azure Synapse Analytics, Apache Spark, Python/SQL). <ul><li>Démarrage : ASAP</li><li>Localisation : Casablanca, Maroc</li></ul>Missions : <ul><li>Concevoir et développer des pipelines d’ingestion et de transformation de données</li><li>Participer à la mise en place et à l’évolution d’une architecture Data Médaillon (Bronze/Silver/Gold)</li><li>Développer des traitements Big Data avec Spark (PySpark / Spark SQL)</li><li>Industrialiser les flux de données sur Azure Synapse Analytics</li><li>Optimiser les performances des traitements et des requêtes SQL</li><li>Assurer la qualité, la fiabilité et la traçabilité des données</li><li>Mettre en place des mécanismes de monitoring et d’alerting</li><li>Participer aux choix d’architecture technique et aux bonnes pratiques Data Engineering</li><li>Collaborer avec les équipes Data, BI, Data Scientist et métiers</li><li>Participer aux phases de recette, de déploiement et de support</li></ul>Compétences techniques requises : Cloud & Data Platform <ul><li>Azure Synapse Analytics</li><li>Databricks</li><li>Azure Data Lake Storage (ADLS)</li><li>Azure Data Factory (ADF) – apprécié</li><li>Architecture Data Lakehouse</li></ul>Big Data <ul><li>Apache Spark, Spark SQL, PySpark</li><li>Optimisation des traitements distribués</li></ul>Développement <ul><li>Python, SQL avancé, gestion des performances SQL</li></ul>Architecture Data <ul><li>Architecture Medallion (Bronze / Silver / Gold)</li><li>Modélisation de données, gestion des flux batch</li></ul>Outils & Méthodologies <ul><li>Git</li><li>CI/CD – apprécié</li></ul>Atout majeur : <ul><li>Expérience avec l’IA générative, notamment Claude Code (très grand plus)</li></ul>Profil recherché : <ul><li>Formation supérieure (Bac+5 en informatique, data ou équivalent)</li><li>Expérience confirmée en Data Engineering sur Azure</li><li>Maîtrise des pipelines Spark et de l’architecture Medallion</li><li>Autonomie, rigueur, capacité à travailler en équipe agile</li></ul> </div>

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Senior Python Data Scraping Engineer

Senior Python Data Scraping Engineer

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Data Engineer Azure en Freelance

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