
Data Product Engineer
Do you get energized by transforming raw data into reliable products with direct value? Do you want to work in a modern Data Mesh ecosystem where quality comes first? And are you looking for a role that seamlessly combines software engineering and data management?
Then you might be the Data Product Engineer we are looking for!

Already eager to work with us?
Fill in application formYour role at ACA
You will be a crucial link in our data strategy, tasked primarily with designing, building, and managing high-quality Data Products within a Data Mesh ecosystem. The aim is to convert data into reliable, modular products that deliver direct value to consumers. You are, therefore, not simply a data engineer building pipelines, but a product engineer taking ownership of the data, from input to output, using a self-service platform.
We seek an engineer who combines software engineering best practices with data management principles. You focus on data logic and quality, while the underlying platform accounts for automation and infrastructure (CI/CD, provisioning).
Responsibilities:
- Ownership: Managing the full lifecycle of the data product on the self-service platform, from design to maintenance.
- Transforming & Building: Writing and managing complex transformation logic to convert raw data into valuable insights.
- Modeling: Structuring 'output ports' (e.g., Data Marts) and defining clear contracts so that data is findable and usable.
- Ensuring Quality: Implementing Data Mesh principles such as 'data as a product', including safeguarding data quality and reliability.
- Operationalizing: Critically challenging the added value and reusability of data products within the wider landscape.
Do you have what it takes?
Hard skills
- Strong command of SQL and Python for data manipulation and scripting.
- Experience with tools such as dbt, Dataform, Apache Beam (in Java or Python), or Flink for data processing.
- Skilled in applying modeling concepts to logically structure the output of data products.
- Understanding of decentralized ownership, input/output ports, and data contracts.
- Knowledge of version control (Git), automated testing, and modular coding practices to write maintainable transformations.
- Experience in designing schemas and interfaces that enable seamless integration with downstream consumers.
Nice to haves:
- Knowledge of streaming data processing.
- Experience with cloud-native data services (GCP, AWS, or Azure).
- Knowledge of Java (specifically in the context of Apache Beam).
- Familiarity with data governance and security standards.
Soft skills
- Team Player: You collaborate closely with other Data Product Engineers and domain experts.
- Product-minded: You prioritize value for the end-user, looking beyond just the technology.
- Analytical & Critical: You are a problem solver capable of unraveling complex data logic.
- Communicative: You express yourself fluently in both Dutch and English.
- Flexible: You are willing to work from home, at the office, or on-site with the client.
Our application process
From candidate to colleague: this framework will give you a general idea of the different steps in our interview process.
What's working at ACA like?
- We’ve got your backWe provide an elaborated health and insurance plan to cover your needs. It’s our priority to keep our employees as happy as possible. We do this by providing a good work-life balance, providing the right tools, and so on.
- Our unique company cultureYou’ll be part of a passionate and hardworking team that is proud of their realizations. ACA is a place with teamwork, openness, knowledge sharing and peer recognition as key values.
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