{"id":1489028,"url":"https://alion.io/job/sonepar-data-ia-engineer-fm","title":"Data & IA engineer (F/M)","company":{"id":1942969,"name":"Sonepar","domain":"sonepar.com","url":"https://alion.io/company/sonepar-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":97000,"period":"year","method":"role_country_seniority_unknown","sample_n":53},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-09-13T02:00:00Z","employer_posted_date":"2026-09-13","last_verified_at":"2026-10-01T06:49:52Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"About Sonepar\nSonepar is an independent family-owned company standing as the world leader in B-to-B distribution of electrical equipment, solutions, and services. In 2025, Sonepar achieved sales of €33.6 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.\nSonepar’s 46 000 associates are committed to accelerating the world’s electrification and driven by a shared Purpose: Powering Progress for Future Generations.\nwww.sonepar.com\nHow will you shape our tomorrow\nThe 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. \nWhat success looks like\nDesigning and deploying efficient, secure, and high-performing data pipelines within Microsoft Fabric that seamlessly integrate data from multiple enterprise sources.\nDelivering production-grade, well-structured lakehouses or warehouses optimized for analytics, machine learning, and real-time AI workloads.\nAutomating ingestion, transformation, and orchestration processes using Fabric Data Pipelines, Dataflows Gen2, and supporting Azure services, ensuring low latency and high reliability.\nImplementing monitoring, testing, and CI/CD practices for data assets and AI models to ensure consistency, scalability, and compliance with data governance frameworks.\nProactively improving performance, reliability, and cost efficiency across Fabric workloads.\nYour Responsibilities:\nData Engineering (Fabric Core)\nImplement data ingestion using Fabric Data Pipelines, Dataflows Gen2, and event-driven sources. \nDevelop scalable transformations using Spark (Fabric notebooks) and SQL (Warehouse / Lakehouse). \nModel data for analytics and AI using medallion architecture (Bronze / Silver / Gold). \nEnsure data quality, lineage, and observability using Fabric monitoring and Purview integration. \nDocument data pipelines, schemas, and reusable pattern.\nReal-Time & Streaming\nBuild real-time data pipelines using Fabric Real-Time Intelligence and other Integration technologies. \nIntegrate event sources.\nOperate and maintain streaming architectures with failure handling. \nAI Engineering\nDesign and deploy RAG (Retrieval-Augmented Generation) architectures and agentic workflows using Fabric data and AI Foundry. \nBuild and operate automated inference pipelines (batch and real-time) integrated directly with the Fabric Lakehouse. \nTransform AI prototypes into enterprise-grade APIs and services, ensuring scalability and low-latency performance. \nSet up tracking for model performance, token usage, and AI safety (guardrails, drift, and output quality). \nSupport data scientists by operationalizing notebooks, feature engineering pipelines, and ML models within Fabric.\nEnsure compliance with responsible AI standards and auditing requirements.\nAnalytics & Consumption\nEnable semantic models and datasets for Power BI. \nOptimize models for performance, refresh reliability, and cost. \nSupport self-service analytics while enforcing governance standards. \nPlatform, Governance & Operations\nImplement CI/CD for Fabric (GitHub integration, deployment pipelines). \nApply data governance and security (Purview, RBAC, sensitivity labels). \nOptimize capacity usage and cost (Fabric capacity management). \nEnsure compliance with enterprise data and AI standards. \nMonitor pipeline health, data freshness, and usage metrics through Fabric and Azure monitoring tools.\nParticipate in incident response and platform optimization initiatives.\nCollaboration\nWork closely with data scientists, BI developers, architects, and product teams. \nTranslate business requirements into scalable Fabric solutions. \nContribute to platform standards, reusable assets, and documentation.\nProvide technical guidance to less experienced engineers and promote best practices.\nThe experience you bring\nCore SkillsStrong Python and SQL.\nHands-on experience with Microsoft Fabric: \nLakehouse\nData Pipelines / Dataflows Gen2\nFabric Spark\nFabric Warehouse\nSolid understanding of data modeling and analytical design patterns. \nExperience with medallion architecture and performance-optimized transformations.\n\nMicrosoft EcosystemAzure services: Azure Data Factory, Event Hubs, Azure ML, Azure OpenAI. \nPower BI semantic modeling (Direct Lake, import, incremental refresh). \nIdentity and security using Azure Entra ID. \nFamiliarity with Purview lineage, classifications, and access governance.\n\n Software Engineering MindsetGitHub-based development and CI/CD. \nMonitoring, logging, and operational support. \nCost-aware design (capacity sizing, workload isolation). \nExperience with unit testing for data transformations, validation frameworks, and deployment automation.\n\nPreferred QualificationsExperience with Fabric Real-Time Intelligence (KQL). \nExperience with LLM-based architectures (RAG, vector search, copilots). \nFamiliarity with Microsoft Purview and enterprise data governance. \nExperience operating large-scale Fabric capacities across domains. \n\nFluency in English is required; proficiency in other languages spoken in the EMEA region is a plus.\nRecruitment Process\nPre-screening interview\nInterview with Manager and technical interview\nHR Interview\nReferral calls\nInterview with SVP Data, AI and Analytics\nWork Mode & Location\n- Hybrid: 3 days in Paris (8ème) after the trial period\nBenefits that await you:\nThe role - Your daily activities will be interesting, stimulating and varied... No two days are alike!\nThe organisation - You'll be part of the Sonepar family and share the same values!\nThe culture - You'll be working in an international environment.\nThe team - Our dynamic, multidisciplinary, open-minded and talented team is eager to welcome additional skills to continue to meet the challenge.\n75% reimbursement of your monthly or annual transport pass.\nSwile Ticket restaurant card\nGym exclusively reserved for the company and made available to employees free of charge.\nSustainable mobility package\nHealth insurance & Welfare\nEmployee Savings Plan & Profit Sharing Bonus.\nWe 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)\nYou are interested in this challenge? Then join and build a better future with us!\nMore information on Sonepar:\nWebsite : www.sonepar.com\nTwitter: @sonepar\nLinkedIn: https://www.linkedin.com/company/sonepar/","description_format":"text","description_chars":7532,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Health insurance"],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Hardware","Electrical Equipment & Cables"],"lifecycle":[{"event":"open","at":"2026-09-30T00:09:52Z"}],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.502,"p_room":0.55,"age_days":18,"expected_fill_days":14,"reasons":["conf:9","velocity","win:tail","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/sonepar-data-ia-engineer-fm","json_url":"https://alion.io/job/sonepar-data-ia-engineer-fm.json","meta":{"generated_at":"2026-10-01T12:48:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4302,"day_limit":5000,"remaining_today":698,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}