Digital Factory - Data Engineer - Supervising Associate
Ernst and Young1 month ago
Luxembourg, LuxembourgStaff+
Responsibilities
- Define and drive data engineering strategy aligned with product, analytics, and enterprise architecture goals.
- Own target architecture across lakehouse, warehouse, and streaming environments.
- Govern architecture decisions involving scalability, cost, performance, security, and compliance.
- Act as design authority for complex data solutions and pipelines.
- Lead the design and implementation of enterprise-scale batch and streaming pipelines using Python and modern frameworks.
- Develop reusable frameworks, accelerators, data contracts, schemas, versioning standards, and documentation practices.
- Ensure secure-by-design data platforms with appropriate access control, encryption, and secrets management.
- Support audits, risk assessments, governance forums, and regulatory policy adherence as a data engineering subject matter expert.
- Lead teams and own data engineering outcomes end-to-end.
Requirements
- Bachelor’s or master’s degree in computer science, data engineering, or a related field.
- Fluency in English; additional languages are appreciated.
- Proven data engineering experience with solution ownership or leadership responsibilities.
- Strong expertise in Python and SQL in large-scale production environments.
- Experience designing and operating enterprise data platforms, including data lakes, warehouses, and analytical systems.
- Strong understanding of dimensional, normalized, and lakehouse data modeling.
- Experience with CI/CD, automated testing, engineering governance, data security, access control, and platform reliability.
- Strong knowledge of cloud platforms, preferably Azure.
- Preferred experience with Spark, Databricks, Airflow, dbt, Azure Data Factory, Kafka, Event Hubs, Service Bus, Terraform, and Bicep.
- Preferred background in streaming or event-driven architectures, lakehouse or enterprise data warehouse strategies, and financial services or regulated environments.
Benefits
- EY provides coaching and training programs, mentoring, a globally connected professional network, and a diverse and inclusive culture.
- The recruitment process includes an initial HR call and two business interview rounds.
- Employment is contingent on successful completion of background checks and pre-screening requirements.
Tech Stack
Categories
Data Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.