Digital Factory - Data Engineer - Supervising Associate

Location: Luxembourg

Other locations: Primary Location Only

Date: May 11, 2026

Requisition ID: 1685505

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.

Will you shape the future or will the future shape you?

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skills you need to stay relevant today and, in the future, – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

The opportunity: your next adventure awaits

Digital Factory – Data Engineer – Supervising Associate

At EY, we’re all in to shape your future with confidence.
Join us and help build a better working world.

The Data Engineer provides strategic, technical, and operational leadership in the design, delivery, and operation of enterprise-grade data platforms supporting EY’s digital products, analytics, and data-driven transformation initiatives.

This role owns data engineering outcomes end-to-end—defining platform strategy, setting standards, and leading teams to deliver scalable, reliable, secure, and compliant data solutions in regulated environments.

Key Responsibilities

Data Platform Strategy & Technical Leadership

Define and drive the data engineering strategy aligned with product, analytics, and enterprise architecture goals
Own the target architecture across lakehouse, warehouse, and streaming environments
Govern architecture decisions across scalability, cost, performance, security, and compliance
Act as design authority for complex data solutions and pipelines

Data Engineering & Platform Delivery

Lead design and implementation of enterprise-scale batch and streaming pipelines using Python and modern frameworks
Ensure robust ingestion, transformation, and serving layers across diverse data sources (APIs, databases, events, files)
Develop reusable frameworks, accelerators, and best practices
Establish standards for data contracts, schemas, versioning, and documentation

Security, Risk & Compliance

Embed secure-by-design principles (access control, encryption, secrets management)
Ensure adherence to regulatory and enterprise policies (data classification, lineage, retention, auditability)
Support audits, risk assessments, and governance forums as a data engineering SME

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
Proven experience in data engineering, including solution ownership or leadership responsibilities
Strong expertise in Python and SQL for large-scale, production environments
Solid experience designing and operating enterprise data platforms (data lakes, warehouses, analytical systems)
Strong understanding of data modeling (dimensional, normalized, lakehouse)
Experience with CI/CD, automated testing, and engineering governance
Strong knowledge of cloud platforms (Azure preferred)
Proven experience in data security, access control, and platform reliability

Preferred

Experience with Spark, Databricks, Airflow, dbt, Azure Data Factory
Knowledge of streaming/event-driven architectures (Kafka, Event Hubs, Service Bus)
Experience with lakehouse or enterprise data warehouse strategies
Background in financial services or regulated environments
Familiarity with infrastructure-as-code (Terraform, Bicep)

What you can expect:

A first HR Call
Two rounds of Interviews with the Business

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 world

EY 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.