Digital Factory - Data Engineer - Supervising Associate

Job description

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. 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.