Data Engineer

itsme® has fundamentally changed how people lead their digital lives in Belgium , but we are not stopping there Do you want to be a driving force to help expand on this success story as part of a talented team that is making a positive impact on society? Then keep on reading, you’ll probably like what you’ll see. We are itsme®, one of Europe’s fastest-growing scale-ups , with 120 team members and growing. Our mission: to provide a state-of-the-art digital identity solution for all people, enabling them to interact securely in the digital space. Now, only nine years after being founded, close to 8 million citizens use the itsme® app to identify themselves and sign documents online. Starting in Belgium, we successfully launched the itsme app in 32 European countries, with the ambition of becoming an internationally leading player . As a Data Engineer at itsme®, you will help build and scale the data platform that sits at the heart of our organization — the single source of truth that every other team relies on. You will design the pipelines that move data from our source systems into a robust, well-modelled platform, and lay the groundwork for advanced capabilities. Working at the center of the Technology department, you will turn raw data into a reliable, governed asset that powers reporting, security, fraud detection and product decisions across the company. What your job looks like
- Design, build, and maintain robust data ingestion pipelines that bring data from diverse source systems into our central platform.
- Develop and operate batch and streaming pipelines, using modern cloud solutions like Databricks or Snowflake.
- Migrate and modernize existing reporting workloads from our current Azure Synapse setup onto the new platform.
- Implement data quality, monitoring, and observability so that pipelines are reliable, testable, and trustworthy.
- Leverage a state of the art data platform to support advanced use cases such as fraud signals, behavioural insights, and machine learning.
- Apply solid engineering practices: version control, CI/CD, infrastructure-as-code (Terraform), and clear documentation. Job requirements
- Bachelor's or master's degree in computer science, software engineering, information technology, or a related field.
- Minimum 3–4 years of professional experience as a data engineer or in a closely related role, preferably in the software industry.
- Strong programming skills in Python, PySpark and SQL, with experience building production-grade data pipelines.
- Hands-on experience with a modern cloud data platform, experience with Databricks and/or Microsoft Fabric (or comparable tools such as Azure DF, Synapse, Snowflake,) is a strong plus.
- Solid understanding of data modelling concepts (dimensional modelling, data vault, or similar) and the principles of a well-governed enterprise data model.
- Experience with both batch and streaming data processing; familiarity with event streaming technologies (e.g. Kafka, Spark Structured Streaming).
- Comfortable with software engineering best practices: Git, CI/CD (Github), testing, and infrastructure-as-code.
- Familiarity with data governance, security, and privacy considerations, especially relevant in a digital identity or financial industry context.
- Experience with Power BI or other BI tooling is a plus.
- Strong analytical and problem-solving skills, with the ability to work independently in a hybrid or remote setup.
- Excellent communication and collaboration skills in an international, multi-disciplinary environment.

What we offer
- Being welcomed by an informal, enthusiastic, and ambitious team that is revolutionising how we safely manage our digital identity, in Belgium & beyond.
- Offices within walking distance from Brussels Central Station, with the possibility to work remotely 3 days a week.
- A contract of indefinite duration, with an attractive compensation package.
- An environment where we care a lot about our core values:
- Impact: Lead by example and create positive influence.
- Resourcefulness: Connect, mobilise, and collaborate across ecosystems.
- Curiosity: Explore, learn, and challenge the status quo.
- Scale: Build strong foundations for sustainable growth.
- Humble: Respect, listen, and embrace feedback for growth.