{"id":48254,"url":"https://alion.io/job/xebia-fabric-data-engineer","title":"Fabric Data Engineer","company":{"id":1386,"name":"Xebia","domain":"xebia.com","url":"https://alion.io/company/xebia","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"D","score":51,"open_postings":34,"ghost_share":0.824,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-29T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hilversum, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":117000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":550},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-04-03T07:49:45Z","employer_posted_date":"2026-04-03","last_verified_at":"2026-09-30T01:07:35Z","board_verified":true,"closed_at":null,"days_open":179,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":178},"description":"At Xebia Microsoft Services (XMS), we help organizations turn their data ambitions into reality through modern engineering, thoughtful architecture, and deep Microsoft expertise. As a Data Engineer, you design and build the data solutions that make this possible. You bring clarity to complex environments, guide clients as they adopt Microsoft Fabric, and support teams in working effectively with cloud-native analytics. Join us and help shape the next generation of data platforms.\nResponsabilities\nAs a Data Engineer, you help clients turn their data ambitions into reliable, scalable data platforms. Within this role, you will also take a leading position in Microsoft Fabric, guiding both clients and internal teams in adopting and implementing Fabric as a modern data platform. You work across architecture, engineering, analytics, and governance, bringing technical depth and practical guidance to every stage of the engagement. You ensure that platforms built on Fabric are well-designed, maintainable, and ready to support real business value.\nIn practice, this means:\nSolution Design & Architecture: Designing end-to-end data architectures using Microsoft Fabric (Lakehouse, Data Engineering, Data Factory, Real-Time Analytics, Power BI).\n\nData Engineering: Building and optimizing data pipelines and notebooks using Spark, Dataflows Gen2, Pipelines, and ELT/ETL best practices.\n\nData Governance: Defining governance frameworks: domains, workspaces, OneLake structures, cataloging, lineage, and security.\n\nAnalytics & BI Enablement: Creating high-quality semantic models and datasets that empower BI teams, and real-time analytics use cases.\n\nAzure Integration: Integrating Fabric with broader Azure services such as ADLS, Event Hub, Azure SQL, Databricks, and Purview.\n\nStakeholder Enablement: Guiding stakeholders through Fabric adoption with workshops, assessments, PoCs, and knowledge transfer.\n\nRequirements\nYou combine deep technical expertise with a consultant mindset. You enjoy navigating complexity, aligning stakeholders, and delivering solutions that balance architectural integrity with practical execution. Your communication is clear, your thinking is structured, and you’re excited about working with cutting-edge Microsoft data technologies.\nThis includes:\n4-8+ years of experience in data engineering, cloud analytics, or consultancy roles\n\nStrong hands-on experience with Microsoft Fabric components: OneLake, Lakehouse, Spark, Data Factory, KQL/Real-Time Analytics, and Power BI.\n\nSolid data engineering skills in Python, SQL, Spark, Delta Lake, and distributed compute.\n\nFamiliarity with the Azure data ecosystem (ADLS, EventHub, Synapse, Azure Functions, Entra ID, security principles).\n\nUnderstanding of governance practices: metadata, lineage, quality frameworks, domain-driven design.\n\nRelevant Microsoft certifications (DP-600, DP-203, AZ-305, PL-300) are a plus.\n\nYour Path to Success in Your First Year\nDeliver high-impact Fabric solutions by combining strong technical execution with clear architectural direction.\n\nBuild trusted advisory relationships with clients by shaping their Fabric roadmap and guiding modernization decisions.\n\nStrengthen XMS delivery by contributing to best practices, reusable assets, and internal knowledge sharing.\n\nWork closely with architects, engineers, and fellow consultants to deepen your expertise in Fabric and the Azure data ecosystem.\n\nWhy Work for Xebia Microsoft Services\nKnowledge sharing at the core: Weekly XKEs, quarterly Innovation Days, and colleagues who genuinely enjoy sharing and learning from each other.\n\nBroadening your expertise: €5k annual learning budget, unlimited training access, and colleagues across cloud, data, AI, and security.\n\nEverything under one roof: Knowledge sharing, challenging projects, growth opportunities, and plenty of humor - daily.\n\nMaking memories together: Annual ski trips (Skibia), summer getaways (Scubia), and a wide variety of activities from motorcycling and hockey to cooking workshops and karaoke.\n\nDoes this sound like the kind of place where you can thrive? Hit the apply button, reach out for a chat, or meet us at one of our events.","description_format":"text","description_chars":4167,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Corporate Training","IT Consulting & Digital Transformation","AI Consulting & Integration","IT Training & Certification"],"lifecycle":[{"event":"open","at":"2026-04-03T07:49:45Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.263,"p_room":0.28,"age_days":178,"expected_fill_days":42,"reasons":["conf:14","stale_co","velocity","ghost","win:tail","crowd:"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/xebia-fabric-data-engineer","json_url":"https://alion.io/job/xebia-fabric-data-engineer.json","meta":{"generated_at":"2026-09-30T04:45:27Z","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":3393,"day_limit":5000,"remaining_today":1607,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}