Senior Data Engineer
Summary
Senior Data Engineer at a leading international financial services organization in the Netherlands, designing and optimizing enterprise data pipelines with Azure Synapse and Databricks and supporting migration to a modern Databricks-based Lakehouse platform. Core stack: Python, SQL, PySpark, Azure Data Factory, Azure DevOps, and CI/CD.
About the Company
Join a leading international financial services organization where data, technology, and innovation drive business transformation. You will work within a technology-focused engineering environment, contributing to strategic data products that provide trusted insights and support enterprise-wide decision-making.
Role Description
We are looking for a Senior Data Engineer (Azure Synapse & Databricks) to support the development, optimization, and future evolution of enterprise data products. You will play a key role in enhancing existing solutions, building scalable data pipelines, and supporting the transition towards a modern Databricks-based platform.
Responsibilities
- Design, develop, and optimize data pipelines using Azure Synapse and Databricks.
- Build scalable ELT/ETL frameworks and reusable data components.
- Develop and maintain APIs and data products.
- Improve data quality, reliability, performance, and maintainability.
- Support platform modernization and migration initiatives.
- Collaborate with Business Analysts, Architects, Product Owners, and engineering teams.
- Contribute to CI/CD processes, testing, monitoring, and automation.
- Drive knowledge transfer and reduce technical debt.
Requirements
- 5+ years of experience as a Data Engineer.
- Strong experience with Azure Synapse Analytics and Azure Databricks.
- Proficiency in Python, SQL, and PySpark.
- Experience building and optimizing ELT/ETL pipelines and data warehousing solutions.
- Hands-on experience with Azure Cloud, Azure Data Factory, Azure DevOps, Git, REST APIs, and CI/CD pipelines.
- Knowledge of data modelling, distributed data processing, and Lakehouse architectures.
- Experience with Medallion Architecture, Delta Lake, and Unity Catalog.
- Experience delivering enterprise-scale data products and supporting platform migrations.
- Strong stakeholder management, communication, and problem-solving skills.
- Ability to work independently, take ownership, and drive initiatives forward.
- Experience in banking/financial services and application landscape data is a plus.
- Fluent in Dutch and English (mandatory).
Other Information
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