JOB DESCRIPTION

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. You will join the AIR Tribe (Analytics, Insight and Reporting) in Group Digital Capabilities division and our dedicated in-house team of data-specialists using a pragmatic best-tool-for-the-job approach to optimize our hybrid infrastructure.

We are building a modern, polyvalent data team where engineers own the full lifecycle of a data product — from ingestion to visualization. No silos. No handovers. High ownership. High impact.

If you enjoy moving across the stack — cloud, pipelines, modeling, analytics — this role is for you.

Your Mission: Deliver Data Products End-to-End

You will design, build, and evolve complete data solutions across:

Azure Cloud & On prem Platforms

• Engineer and orchestrate pipelines on Azure (ADF, Functions, Event Hub, Lakehouse).
• Develop scalable transformations in Databricks / Spark.
  
  

Data Engineering

• Model and optimize datasets using SQL, Python, Scala/Java.
• Ensure quality, performance, CI/CD, governance, and reliability.
  
  

Analytics Layer

• Build curated semantic models and datasets for consumption.
• Create Power BI reports and dashboards when needed (optional but valued).
  
  

Your Expertise

We are looking for engineers with solid foundations and a willingness to operate across the stack:

Core Skills

• Azure Cloud engineering (Data Lake, ADF, Key Vault, Functions, etc.)
• Databricks + Spark (structured streaming, performance tuning)
• SQL (advanced modeling and optimisation)
• Python
• Java or Scala (nice to have but highly valued)
• Power BI (nice to have but highly valued - datasets + reports)
  
  

Bonus

• Kubernetes knowledge (deployment, orchestration, scaling)
• Experience in lakehouse architectures
• Interest in UX/data storytelling