Full stack Engineer for Analytic team

Division: GDC

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 (Analytics Insight and Reporting) tribe in GDC division and our dedicated in-house team of data-specialists using a pragmatic best-tool-for-the-job approach to optimize our hybrid (On prem-Cloud) 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 modelling analytics this role is for you.

Your Mission: Deliver Data Products End-to-End

You will design build and evolve complete data solutions across:

Analytics Layer Data Modelling & Semantics

• Design and deliver PowerBI data products (datasets reports).
• Develop and Maintain DAX measures with performance and correctness in mind
• Design curated analytical models aligned with Medallion architecture
• Build certified reusable datasets optimised for PowerBI
• Guarantee data quality lineage and business meaning

Data Engineering

• Engineer scalable transformations using Databricks / Spark
• Implement pipelines in SQL Python Scala or Java
• Optimize performance cost and reliability across batch and streaming workloads
• Embed testing monitoring and CI-CD into data pipelines

Azure Cloud Platforms

• Build and operate data platforms on Azure
• Contribute to cloud-native architecture automation and governance
• Develop scalable transformations in Databricks / Spark.

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 modelling and optimisation)
Python
Java or Scala (nice to have but highly valued)

Medallion Architecture

Strong DAX (measures performance tuning evaluation content)
Power BI (datasets reports)

Bonus

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


Who You Are
A builder with a product mindset
Pragmatic curious and not afraid to cross domains
Enjoy switching between Spark code SQL modelling Power BI report
You enjoy full ownership and accountability
You value versality craftsmanship and learning

You are ready to provide support for product incidents as part of Watch Duty

What We Offer
A fully modern data stack (Azure Databricks Power BI)
A culture designed for full-stack engineers not narrow specialists
Autonomy and room to innovate
Continuous learning (Azure Databricks Kubernetes Power BI)
A team that moves fast collaborates openly and values clean engineering