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Open nowPosted 39 hours ago

Digital Factory - Engineering Manager - Assistant Director (m/f)

Ernst & Young S.A.

Where
Luxembourg
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Your applicationOpen nowDigital Factory - Engineering Manager - Assistant Director (m/f)Ernst & Young S.A. · Luxembourg

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13.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.6%3 days
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  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 39 hours ago

The posting

Digital Factory - Data Engineering Manager - Assistant Director Location: Luxembourg Other locations: Primary Location Only Salary: Competitive Job descriptionRequisition ID: 1713378 At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world.The 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.The 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.The position works closely with delivery, architecture, and business teams to ensure consistency, quality and reuse across data initiatives.Key ResponsibilitiesEngineering Mentorship & Capability Building• Mentor and coach engineers across multiple teams on data engineering practices, architecture, and delivery quality• Support technical decision-making and problem solving in complex data initiatives• Raise overall engineering maturity on:• Data pipelines (ETL / ELT)• Lakehouse architectures• Spark / Databricks / Fabric usage• Promote a hands-on engineering mindset and craftsmanship cultureArchitectural Alignment & Guardrails• Ensure all data solutions align with Digital Factory architecture principles and guardrails• Guide teams on: o Data architecture patterns (lakehouse, data mesh, etc.)o Platform usage (Fabric, Databricks, Azure services)• Act as bridge between Architecture and Delivery teams• Challenge and validate technical design decisions when neededTechnology Standards & Best Practices• Define and enforce engineering standards for data platforms, including:o Data modeling approaches (dimensional / analytical)o Pipeline design and orchestrationo CI/CD and DataOps practices• Standardize reusable components, templates, and practices• Ensure consistency across teams working on different projectsHands-on Contribution• Actively contribute to design and implementation of data solutions, especially in complex or critical topics• Support teams in: o Building scalable data pipelines (Fabric, Databricks, Spark)o Optimizing performance and costo Troubleshooting complex technical issues• Lead by example with a strong hands-on engineering approachCross-Team Coordination• Work across multiple project teams to ensure consistency and reuse• Collaborate with: o Architectureo Project / Business leadso Data / AI engineers• Facilitate knowledge sharing and alignment across initiativesPlatform & Reuse• Encourage reuse via shared libraries, components, and templates; maintain documentation for architecture decisions and reusable assets.QualificationsRequired• Bachelor's or Master's degree in Computer Science, Engineering, or related field.• Fluency in English. Any additional language(s) are highly appreciated. • Demonstrated experience leading software engineering teams as an Engineering Manager or Senior Tech Lead, delivering production systems in data domains.• Strong experience in data engineering and platform delivery• Proven experience as: o Senior Data Engineer / Leado OR Engineering Manager in data context• Hands-on expertise in: o Microsoft Fabric or Azure Data Platformo Databricks (Spark, Delta Lake)o Data pipelines, lakehouse architectures• Strong understanding of data architecture, governance, and platform design• Ability to influence teams in a matrix organization (without direct authority) Preferred• Experience in consulting / Digital Factory / multi-project environments• Exposure to data governance frameworks and enterprise architecture• Familiarity with AI/analytics data use cases Tools & Technologies• Microsoft Fabric (OneLake, Data Factory, Notebooks)• Azure Databricks (Spark, Delta Lake)• Azure Data Services (ADF, Synapse, SQL)• Python, SQL• CI/CD (Azure DevOps)• Data governance & observability tooling What we offer you At 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.Are you ready to shape your future with confidence? Apply today.To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need. EY | Building a better working worldEY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.Enabled 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.EY 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.Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.

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