Capture and analyze complex customer requirements and translate them into scalable data architectures.
Design and implement modern database structures, data models, as well as highly available data pipelines and backend applications.
Automate and orchestrate workflows (CI/CD) to ensure maximum data quality and system stability in production.
Connect to, transform, and cleanse heterogeneous data sources — from REST APIs and flat files to complex relational and NoSQL database systems.
Actively contribute to the development lifecycle in close coordination with clients and teammates using agile methods (prototyping, MVP development, sprints).

Successfully completed degree in a STEM field (Computer Science, Mathematics, Physics, Engineering) or an equivalent qualification with a strong technical focus.
You have at least 3 years of solid professional experience delivering Data Engineering use cases.
Deep knowledge of database modeling as well as the design and implementation of ETL/ELT pipelines and modern data warehouse/lake architectures.
Expert-level SQL skills and proficiency in at least one other programming language — ideally Python.
Experience with modern data platforms such as Databricks or Snowflake and comfortable working in cloud environments (AWS, Azure, or GCP).
Knowledge of big-data frameworks (e.g., Spark) is a strong plus.
Familiarity with agile working methods (Scrum, Kanban) and the ability to implement technical requirements in iterative sprints.
Highly analytical and structured working style. Your approach is characterized by reliability, personal responsibility, and a commitment to "clean code".

Varied tasks and challenges that give you the opportunity to develop both personally and professionally
An open and friendly working environment where you can feel comfortable and realize your potential
Scope for creativity and exchange — you are encouraged to contribute ideas and solutions
Transparent communication — we share information through regular team meetings and provide feedback
We celebrate our successes together (not only work-related) and foster a positive, motivating team spirit
Work with the latest technologies and innovative tools in a secure workplace within a future-oriented industry with attractive compensation
Modern office with high-quality equipment for a comfortable working day and additional top-tier devices such as premium laptops and smartphones (depending on position)
Financial support for training and personal development
Attractive perks such as benefits in kind, team events, a company pension plan, discounts and much more...

Senior Data Engineer

Key skills