You design a sustainable data architecture and implement a high-performance, stable data infrastructure on the Google Cloud Platform to scale our data operations.
You migrate the current on-premises PostgreSQL-based solution to a cloud-based solution using BigQuery.
You design, implement, and optimize data pipelines to handle a variety of structured and unstructured data sources.
You ensure data availability and quality by applying best practices in data modeling and data management.
You develop automated DataOps solutions to ensure data integrity and transparency, including monitoring and troubleshooting.
You configure, implement, and manage Airflow for workflow orchestration and DataKitchen for implementing tests and alerts.
You use your expertise in Spatial SQL to process and analyze geospatial, thematic, and market data.
You work closely with cross-functional teams to develop data products tailored to business requirements.

You have at least 5 years of professional experience in data engineering or a similar role.
You have deep knowledge of databases (SQL, PostgreSQL, OGC SQL/PostGIS, BigQuery) and experience scaling data platforms.
You have experience working with ETL/ELT processes and data integration tools.
You bring extensive Python development experience and are proficient with libraries such as Pandas, NumPy, PySpark, Pandera, and pytest.
You have hands-on experience with cloud platform services and Infrastructure as Code (IaC) for deploying and managing data solutions — ideally on the Google Cloud Platform.
You have practical experience with automation and workflow orchestration tools like Airflow and dbt, as well as data quality testing and data observability tools such as DataKitchen.
You have practical experience with VCS and CI/CD, e.g., Git, GitLab, or GitHub.
You hold a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
You enjoy working in a team, proactively shape initiatives, and don't wait for tasks to be assigned.
You possess excellent problem-solving skills and can work in a collaborative, agile environment.
Ideally, you have project experience with geospatial data and geographic information systems (GIS).
You are fluent in German (C1) and English.

We offer flexible and remote-friendly working arrangements.
Work with exciting data and state-of-the-art technology solutions.
We provide comprehensive training and the opportunity to work independently in advisory and leadership roles within an international, high-growth market.
Join a highly motivated, ambitious, and dynamic team, facing international challenges and exceptionally exciting projects in a global environment.
You will be supported by the entire team in your activities.
We maintain a professional feedback culture with regular objective performance reviews and room for growth.
Attractive compensation is complemented by benefits such as a company pension plan.
We provide you with modern technology and a comfortable workspace — at our office in Bonn.
We use modern methods and tools for software development and data analysis and continuously experiment with innovations.

Lead Data Engineer – infas 360

Key skills