Data Engineering Lead (m/w/d)

Introduction

Data Engineering Lead leads the design, development, and delivery of high-quality data pipelines and data products that power analytics, BI, and AI across our fintech ecosystem in payments, dunning, invoicing, and collections. This leader will build and scale a high-performing data engineering team focused on transforming raw data into trusted, accessible, and reusable assets — ensuring that the broader organization can make faster and smarter decisions.

Your tasks

in an agile, cross-functional data product model, this role is accountable for the results and contributions of the data engineering discipline — ensuring that the data engineers deliver trusted, timely, and high-quality data to enable business and analytical outcomes.

Your profile

+ years of experience in data engineering, with at least 3–5 years in a leadership role managing multi-team delivery, with overall team technical expertise in Azure, SQL, Python, and modern data transformation and orchestration frameworks (e.g., dbt, Airflow, Spark) ’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

We offer

Join our team at our location in Berlin, Verl, Baden-Baden or Oslo – hybrid working conditions available.