Build and lead a new engineering capability by designing and delivering a scalable Insights Platform.
Designing and implementing robust data pipelines and contracts for reusable insights across multiple domains.
Setting up platform infrastructure with governance, reliability, and quality controls embedded from day one.
Leading a new engineering team and coaching engineers to deliver secure, production-ready data solutions.
Drive engineering leadership by setting technical direction, ensuring high-quality delivery, and balancing speed with production-grade standards across the platform.
Collaborate closely with product teams and architects to translate user needs into scalable, future-proof platform solutions.
Enable teams by mentoring engineers, improving technical maturity, and fostering a culture of reliability, ownership, and continuous improvement.

Bachelor's or master's degree in e.g. computer sciences.
7+ years’ experience as a Data Engineer in a complex IT landscape.
3+ years’ experience in a leading position in a similar environment.
Experience in or affinity with software development in the financial sector, the payment sector in particular is preferable.
Great analytical and problem-solving skills.
Agile mindset and experience in working agile/scrum teams.
Experienced in working with SQL and developing ETL solutions.
Experienced in working with Azure data platform.
Experienced in testing pipelines which are built on Azure with system and regression tests.
Experienced with OPS work like monitoring and solving incidents.
Knowledge of Apache Airflow.
Knowledge of data modelling and data management is preferable.
Knowledge of Python Spark is preferable.
Knowledge of client and payments data is preferable.

Thirteenth month's salary
8% holiday allowance
10% Employee Benefit Budget
EUR 1,400 development budget per year
Hybrid working: balance between home and office work
A pension, for which you can set the maximum amount of your personal contribution

Lead Data Engineer, Insights Platform

Key skills