Data Engineer
Posted 14 Oct 2026
Advertised as “Senior Data Engineer/Analyst - Azure Databricks”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
No salary listed for this role.
Senior Data Engineer - Azure Databricks
Join Euroclear
Euroclear is a financial services company that specializes in the settlement of securities transactions, as well as the safekeeping and asset servicing of these securities. We are located in Brussels and several major cities in Europe and around the world. We are deeply convinced that diversity of talents, backgrounds and opinions is a key to success, by encouraging engagement, energy and innovation.
Our IT Division
The Data & AI division ensures Euroclear's competitiveness by delivering reliable and sustainable IT solutions for the financial securities markets.
Within Data & AI division, our Data Tribe supports advanced analytics, reporting, operational data products, and AI-driven capabilities across the Euroclear Group. We help transform data into business value by leveraging modern cloud technologies, data engineering practices, and innovative analytical solutions.
Our scope can be summarized as follows:
- Operating and evolving the Data & Analytics Platform (DAP), including the Data Lake, Group Data Warehouse, and strategic Azure-based data platforms.
- Delivering data products and analytics capabilities for key business domains.
- Supporting business transformation initiatives through modern data engineering and cloud technologies.
- Providing expertise in data management, reporting, analytics, and AI.
Our tribe is working for both internal and external clients.
Your Role as a Senior Data Engineer
As a Senior Data Engineer, you will play a key role in designing, building, and evolving modern cloud-based data solutions supporting Euroclear's business domains.
You will work closely with business stakeholders, architects, product owners, and fellow engineers to deliver scalable, reliable, and high-performing data products that support operational processes, reporting, analytics, and future AI initiatives.
Key Responsibilities
- Design, develop, test, and maintain scalable data engineering solutions on Microsoft Azure and Databricks.
- Build robust and reusable ETL/ELT pipelines using Python, PySpark, and SQL.
- Develop data products and applications supporting data ingestion, transformation, enrichment, validation, and distribution.
- Implement reliable batch and streaming data workflows using Azure Databricks, , and modern Lakehouse architectures.