Developer

• Build and maintain the operational data warehouse.
• Work on data pipelines, services, and applications.
• Contribute to data modeling of existing and new sources.
• Solve defined problems independently within an entrepreneurial team.
• Collaborate with users on the scope of user stories.
• Design solutions, model data, build in C# on.NET.
• Deploy to production via the CI/CD pipeline.
• Understand the needs of analysts, developers, and operational teams.
• Ensure architectural standards and patterns are applied.
• Guide the introduction of new working methods and propose improvements.
• Mentor junior colleagues, including knowledge transfer and reviews.
• Coordinate with other teams and focus on value creation.

About the work environment.

• The team manages a data warehouse for operational data in investigation and intelligence.
• Collect, process, model, and make accessible large and diverse data sources.
• Data products are used by thousands of colleagues, including developers and analysts.
• Regular participation in large (international) investigations to support operations.
• Work according to LeSS (Large-Scale Scrum) with multiple development teams on one product.
• Teams consist of software developers, platform engineers, and scrum masters.
• The organization combats serious and organized crime, terrorism, foreign interference, and cybercrime, both nationally and internationally.

Technology.

• The platform is largely built in-house, utilizing open source and some purchased components.
• Processing of large, diverse data with specific performance requirements.
• Use of Kafka and RabbitMQ for event and stream processing.
• Storage with PostgreSQL, Elasticsearch, Redis, and object storage.
• Platform technologies: Kubernetes, Docker, Infrastructure as Code, GitLab CI/CD.
• Modeling with a large, complex data model, including maintenance and development.
• Focus on data quality, traceability, security, and authorization according to relevant legislation.

• Understanding of the value of correct, traceable, and well-modeled data.
• Accurate, proactive, collaborative, and able to work independently.
• Experienced developer with a clear interest in data and a vision on how to model, maintain reliable, and process data at scale for consumers.
• Writes clean, tested C# code.
• Can explain and defend a design, even to a group and non-technical colleagues.
• Sees opportunities and dares to take calculated risks.
• Helps colleagues and learns from them.
• Open to feedback and knows how to give positive constructive feedback.
• Analytical and conceptual thinking ability to solve complex problems.
• Good communication skills in Dutch and English.

What they ask

• HBO (bachelor) working and thinking level, preferably in ICT.
• Minimum 3 years of experience as a software engineer or data engineer.
• Solid knowledge of C# and.NET (or comparable programming language).
• Demonstrable experience with designing and building (larger) data products or pipelines for large amounts of data towards a data warehouse or data platform.
• Experience with data modeling and designing data structures for analysis and access.
• Experience with Git and CI/CD.

Desired.

• Experience with event-driven or streaming processing (Kafka, RabbitMQ).
• Experience with PostgreSQL, Elasticsearch, Redis, or object storage.
• Experience with Data Vault, graph modeling, or canonical data models.
• Experience with lakehouse formats (Apache Iceberg) and orchestration (Airflow, Temporal).
• Experience with Front-end frameworks (Angular) and Kubernetes, Docker, Infrastructure as Code.
• Experience working in a LeSS or other multi-team Scrum environment.