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
1. Design and deliver PowerBI data products (datasets + reports).
2. Develop and Maintain DAX measures with performance and correctness in mind
3. Design curated analytical models aligned with Medallion architecture
4. Build certified, reusable datasets optimised for PowerBI
5. Guarantee data quality, lineage and business meaning
Data Engineering
6. Engineer scalable transformations using Databricks / Spark
7. Implement pipelines in SQL, Python, Scala or Java
8. Optimize performance, cost and reliability across batch and streaming workloads
9. Embed testing, monitoring and CI-CD into data pipelines
Azure Cloud Platforms
10. Build and operate data platforms on Azure
11. Contribute to cloud-native architecture, automation and governance
12. 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,
- Databricks + Spark (structured streaming, performance tuning)
- SQL (advanced modelling and optimisation)
- Python, C#
- Javascript, TypeScript
- 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
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