Data & IA engineer (F/M)
Paris, FR, 75008
About Sonepar
Sonepar is an independent family-owned company standing as the world leader in B-to-B distribution of electrical equipment, solutions, and services. In 2024, Sonepar achieved sales of €32.5 billion. Present in 40 countries with a dense network of brands, the Group is leading an ambitious transformation to make its customers’ lives easier providing them with an omnichannel experience and sustainable solutions in the building, industry, and energy markets.
Sonepar’s 46 000 associates are committed to accelerating the world’s electrification and driven by a shared Purpose: Powering Progress for Future Generations.
How will you shape our tomorrow
The Data / AI Engineer designs, builds, and operates enterprise-grade data and AI workloads on Microsoft Fabric. The role focuses on production systems, not experimentation, and covers the full lifecycle: ingestion, transformation, analytics, AI, and operationalization within the Microsoft ecosystem.
What success looks like
- Designing and deploying efficient, secure, and high-performing data pipelines within Microsoft Fabric that seamlessly integrate data from multiple enterprise sources.
- Delivering production-grade, well-structured lakehouses or warehouses optimized for analytics, machine learning, and real-time AI workloads.
- Automating ingestion, transformation, and orchestration processes using Fabric Data Pipelines, Dataflows Gen2, and supporting Azure services, ensuring low latency and high reliability.
- Implementing monitoring, testing, and CI/CD practices for data assets and AI models to ensure consistency, scalability, and compliance with data governance frameworks.
- Proactively improving performance, reliability, and cost efficiency across Fabric workloads.
Your Responsibilities:
Data Engineering (Fabric Core)
- Implement data ingestion using Fabric Data Pipelines, Dataflows Gen2, and event-driven sources.
- Develop scalable transformations using Spark (Fabric notebooks) and SQL (Warehouse / Lakehouse).
- Model data for analytics and AI using medallion architecture (Bronze / Silver / Gold).
- Ensure data quality, lineage, and observability using Fabric monitoring and Purview integration.
- Document data pipelines, schemas, and reusable pattern.
Real-Time & Streaming
- Build real-time data pipelines using Fabric Real-Time Intelligence and other Integration technologies.
- Integrate event sources.
- Operate and maintain streaming architectures with failure handling.
AI Engineering
- Design and deploy RAG (Retrieval-Augmented Generation) architectures and agentic workflows using Fabric data and AI Foundry.
- Build and operate automated inference pipelines (batch and real-time) integrated directly with the Fabric Lakehouse.
- Transform AI prototypes into enterprise-grade APIs and services, ensuring scalability and low-latency performance.
- Set up tracking for model performance, token usage, and AI safety (guardrails, drift, and output quality).
- Support data scientists by operationalizing notebooks, feature engineering pipelines, and ML models within Fabric.
- Ensure compliance with responsible AI standards and auditing requirements.
Analytics & Consumption
- Enable semantic models and datasets for Power BI.
- Optimize models for performance, refresh reliability, and cost.
- Support self-service analytics while enforcing governance standards.
Platform, Governance & Operations
- Implement CI/CD for Fabric (GitHub integration, deployment pipelines).
- Apply data governance and security (Purview, RBAC, sensitivity labels).
- Optimize capacity usage and cost (Fabric capacity management).
- Ensure compliance with enterprise data and AI standards.
- Monitor pipeline health, data freshness, and usage metrics through Fabric and Azure monitoring tools.
- Participate in incident response and platform optimization initiatives.
Collaboration
- Work closely with data scientists, BI developers, architects, and product teams.
- Translate business requirements into scalable Fabric solutions.
- Contribute to platform standards, reusable assets, and documentation.
- Provide technical guidance to less experienced engineers and promote best practices.
The experience you bring
- Core Skills
- Strong Python and SQL.
- Hands-on experience with Microsoft Fabric:
- Lakehouse
- Data Pipelines / Dataflows Gen2
- Fabric Spark
- Fabric Warehouse
- Solid understanding of data modeling and analytical design patterns.
- Experience with medallion architecture and performance‑optimized transformations.
- Microsoft Ecosystem
- Azure services: Azure Data Factory, Event Hubs, Azure ML, Azure OpenAI.
- Power BI semantic modeling (Direct Lake, import, incremental refresh).
- Identity and security using Azure Entra ID.
- Familiarity with Purview lineage, classifications, and access governance.
- Software Engineering Mindset
- GitHub-based development and CI/CD.
- Monitoring, logging, and operational support.
- Cost-aware design (capacity sizing, workload isolation).
- Experience with unit testing for data transformations, validation frameworks, and deployment automation.
- Preferred Qualifications
- Experience with Fabric Real-Time Intelligence (KQL).
- Experience with LLM-based architectures (RAG, vector search, copilots).
- Familiarity with Microsoft Purview and enterprise data governance.
- Experience operating large-scale Fabric capacities across domains.
- Fluency in English is required; proficiency in other languages spoken in the EMEA region is a plus.
Recruitment Process
- Pre-screening interview
- Interview with Manager and technical interview
- HR Interview
- Referral calls
- Interview with SVP Data, AI and Analytics
Work Mode & Location
- Hybrid: 3 days in Paris (8ème) after the trial period
Benefits that await you:
The role - Your daily activities will be interesting, stimulating and varied... No two days are alike!
The organisation - You'll be part of the Sonepar family and share the same values!
The culture - You'll be working in an international environment.
The team - Our dynamic, multidisciplinary, open-minded and talented team is eager to welcome additional skills to continue to meet the challenge.
75% reimbursement of your monthly or annual transport pass.
Swile Ticket restaurant card
Gym exclusively reserved for the company and made available to employees free of charge.
Sustainable mobility package
Health insurance & Welfare
Employee Savings Plan & Profit Sharing Bonus.
We encourage you to apply even if your experience doesn't align perfectly with the job description. Don't hold back because you feel you don't tick every box. At Sonepar, we value your skills, your passion and if your career journey has had remarkable twists and turns, it only adds to your unique story. We ensure we create an inclusive environment where everyone feels welcomed and valued for their uniqueness. Regardless of physical abilities, office requirements, gender, sexual orientation, academic backgrounds or other diversity dimensions, every position at Sonepar is open to individuals who share our core values and engagements. We aim to ensure our job listings resonate with everyone and truly represent the diversity we embrace and we are proud to have the GEEIS Label (Gender Equality for European & International Standard) and to be partner of AGEFIPH (Association de Gestion du Fonds pour l’Insertion Professionnelle des Personnes Handicapées)
You are interested in this challenge? Then join and build a better future with us!
More information on Sonepar:
Website : www.sonepar.com
Twitter: @sonepar