Project Role : Technology Platform Engineer

Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.

Must have skills : Data Engineering

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Data Warehouse Developer

The role

We are looking for a skilled and forward-thinking Data Warehouse Developer to join our Data Warehouse Team. You will play a key role in maintaining and enhancing our existing SAS-based Data Warehouse (DWH) while actively contributing to the modernisation and redesign of the future-state platform in Azure Databricks. The ideal candidate combines solid DWH development experience with SAS, SQL, and ETL frameworks, and is motivated to evolve toward modern data engineering practices (e.g., Databricks, Delta Lake, PySpark, CI/CD). This is a unique opportunity to help shape the next-generation data platform for one of Europe s leading Asset Managers, supporting investment, risk, and regulatory domains.

What you would do

Maintain, optimise, and enhance existing SAS-based DWH components (ETL jobs, data marts, reports).

Analyse, document, and reverse engineer legacy data flows, business logic, and dependencies.

Design and implement data pipelines, ingestion frameworks, and transformation logic in the target Azure Databricks platform.

Collaborate with data architects and platform engineers to define target-state models, ingestion patterns, and metadata-driven frameworks.

Migrate and refactor SAS ETL logic into PySpark/SQL on Databricks following best practices.

Contribute to data quality, reconciliation, and test automation for migrated datasets.

What you bring

5+ years experience in Data Warehouse or ETL development within financial services or asset management.

Proven experience with SAS, SAS Data Integration Studio, SAS Macro programming.

Strong SQL Skills And Experience With Relational Data Models

Experience working in Asset Management / Investment Management domains (e.g., portfolios, holdings, benchmarks, market data, risk

Analytical mindset, attention to detail, and curiosity to explore how data supports investment decisions.

Collaborative team player comfortable working in Agile/Scrum environments.

Strong Communication Skills English Required Dutch a Plus

Proactive and eager to upskill from SAS to modern cloud data engineering.