DevOps Engineer -Senior Data Engineer (Azure Synapse & Databricks) – Application360 Data Products

DevOps Engineer -Senior Data Engineer (Azure Synapse & Databricks) – Application360 Data Products bij Rabobank in Utrecht. Het betreft een detachering-functie voor 40 uur per week met een looptijd van zo spoedig mogelijk. Reageren kan tot donderdag 1 oktober 2026, 13:00.

Role overview:

You will work on strategic Application360 Data Products that provide trusted, integrated insights into an application landscape. This role combines hands-on engineering, data product development, platform stewardship and solution evolution, including the transition from an Azure Synapse implementation towards a Databricks-based platform.

Responsibilities:

- Technical ownership: Take technical responsibility for Application360 Data Products.

- Design, build, maintain and optimise data pipelines using Azure Synapse and Databricks.

- Analyse current implementations and identify improvements for reliability, scalability, data quality and maintainability.

- Translate business requirements into technical solutions in close collaboration with Business Analysts.

- Support definition and implementation of the target-state architecture for Application360, including ownership-related data products.

- Create and refine PBIs for knowledge transfer, technical debt reduction, operational improvements and future development.

- Develop scalable ELT/ETL frameworks and reusable components following Medallion Architecture principles.

- Build and maintain APIs and data products for consistent access to Application360 information.

- Participate in architecture discussions and technical design decisions.

- Improve CI/CD processes, testing standards, monitoring, data quality controls and operational excellence.

- Collaborate with other squads on product evolution, shared capabilities and future ownership of features.

Requirements:

- Experience: Minimum 5+ years as a Data Engineer.

- Technical skills: Strong hands-on experience with Azure Synapse Analytics; experience with Azure Databricks and Lakehouse architectures; strong SQL and Python development skills; experience with PySpark and distributed data processing.

- Experience designing and implementing ELT/ETL pipelines, data modelling and data warehousing concepts, and working in Azure cloud environments.

- Experience with DevOps and CI/CD pipelines.

- Strong communication skills and stakeholder management capabilities.

- Ability to work independently, take responsibility and drive work forward.

- Languages: English and Dutch mandatory.

Preferred experience:

- Applying Medallion Architecture patterns.

- Experience with Delta Lake and Unity Catalog.

- Supporting or executing platform migrations.

- Building and operating data products in large enterprise environments.

- Understanding of API-based integrations.

- Experience with application landscape, configuration or ownership data is an advantage.

- Banking or financial services experience.

Tech stack:

Azure Synapse Analytics, Azure Databricks, Medallion Architecture, PySpark, Python, SQL, Azure Data Factory, REST APIs, Azure DevOps, CI/CD, Git, Data Warehousing, Delta Lake, Unity Catalog.

What makes this role unique:

This is not a standard data engineering position: you will help shape Application360 Data Products to provide a broader, coherent view of an application landscape, working at the intersection of business context, platform engineering and data architecture to create scalable, reusable and future-ready data products.