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

Job title

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

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.