{"id":2804568,"url":"https://alion.io/job/ey-digital-factory-data-engineering-manager-assistant-director","title":"Digital Factory - Data Engineering Manager - Assistant Director","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Luxembourg City, Luxembourg"],"countries":["LU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":143000,"max_usd":325000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3940},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-18T02:00:00Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-20T10:52:17Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"At EY, we’re all in to shape your future with confidence.\nWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.\nJoin EY and help to build a better working world.\nThe Data Engineering Manager - Assistant Director supports multiple teams across the Digital Factory in a matrix setup, with a focus on data engineering practices and solutions.\nThe role is responsible for guiding teams on architecture, technology standards and engineering practices, while contributing hands-on to the design and implementation of data solutions using platforms such as Microsoft Fabric and Databricks.\nThe position works closely with delivery, architecture, and business teams to ensure consistency, quality and reuse across data initiatives.\nKey Responsibilities\nEngineering Mentorship & Capability Building\nMentor and coach engineers across multiple teams on data engineering practices, architecture, and delivery quality\nSupport technical decision-making and problem solving in complex data initiatives\nRaise overall engineering maturity on:\nData pipelines (ETL / ELT)\nLakehouse architectures\nSpark / Databricks / Fabric usage\nPromote a hands-on engineering mindset and craftsmanship culture\nArchitectural Alignment & Guardrails\nEnsure all data solutions align with Digital Factory architecture principles and guardrails\nGuide teams on:Data architecture patterns (lakehouse, data mesh, etc.)\nPlatform usage (Fabric, Databricks, Azure services)\n\nAct as bridge between Architecture and Delivery teams\nChallenge and validate technical design decisions when needed\nTechnology Standards & Best Practices\nDefine and enforce engineering standards for data platforms, including:\nData modeling approaches (dimensional / analytical)\nPipeline design and orchestration\nCI/CD and DataOps practices\n\nStandardize reusable components, templates, and practices\nEnsure consistency across teams working on different projects\nHands-on Contribution\nActively contribute to design and implementation of data solutions, especially in complex or critical topics\nSupport teams in:Building scalable data pipelines (Fabric, Databricks, Spark)\nOptimizing performance and cost\nTroubleshooting complex technical issues\n\nLead by example with a strong hands-on engineering approach\nCross-Team Coordination\nWork across multiple project teams to ensure consistency and reuse\nCollaborate with:Architecture\nProject / Business leads\nData / AI engineers\n\nFacilitate knowledge sharing and alignment across initiatives\nPlatform & Reuse\nEncourage reuse via shared libraries, components, and templates; maintain documentation for architecture decisions and reusable assets.\nQualifications\nRequired\nBachelor’s or Master’s degree in Computer Science, Engineering, or related field.\nFluency in English. Any additional language(s) are highly appreciated. \nDemonstrated experience leading software engineering teams as an Engineering Manager or Senior Tech Lead, delivering production systems in data domains.\nStrong experience in data engineering and platform delivery\nProven experience as:Senior Data Engineer / Lead\nOR Engineering Manager in data context\n\nHands-on expertise in:Microsoft Fabric or Azure Data Platform\nDatabricks (Spark, Delta Lake)\nData pipelines, lakehouse architectures\n\nStrong understanding of data architecture, governance, and platform design\nAbility to influence teams in a matrix organization (without direct authority)\nPreferred\nExperience in consulting / Digital Factory / multi-project environments\nExposure to data governance frameworks and enterprise architecture\nFamiliarity with AI/analytics data use cases\nTools & Technologies\nMicrosoft Fabric (OneLake, Data Factory, Notebooks)\nAzure Databricks (Spark, Delta Lake)\nAzure Data Services (ADF, Synapse, SQL)\nPython, SQL\nCI/CD (Azure DevOps)\nData governance & observability tooling\nWhat we offer you\nAt EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.\nAre you ready to shape your future with confidence? Apply today.\nTo help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.\nEY | Building a better working world\nEY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.\nEnabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.\nEY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.\nOur offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. 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