Data Engineer (m/f/d)

About the role

We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space. Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations. We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation. We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career! Want to find out more about us? Visit www.isaraerospace.com Data Protection We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy . Disclaimer Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply.

Benefits

Additional Information

Mission Brief Your main objective will be to work hands-on with our Data Platform, which consolidates all structured and unstructured test, flight, and process data from across the company. Your work will empower data-driven decisions in various departments and enable us to generate valuable insights from cross-departmental data. More specifically, you will: Build modern, scalable, and high-performance solutions for our engineering data platform. Develop and deploy efficient ETL/ELT processes to ingest, transform, and load a large amount of data from diverse sources. Contribute to data modeling and architecture decisions to ensure consistency, availability, low latency, and long-term maintainability of the data landscape. Ensure data quality through validation processes and adherence to data governance policies. Provide observability for the Data Platform processes, enabling a quick reaction to any disruptions. Author technical and user documentation. Guide less experienced engineers by sharing your knowledge and expertise. Who you are and what you have Highly proficient with batch and streaming data processing Hands-on experience with OLAP, DeltaLake and Iceberg storage frameworks Excellent SQL proficiency for data querying, transformation, and analysis Understanding of time series data and signal processing (e.g., sampling rates, decimation, frequency domains, and data integrity) Solid understanding of data architectures (lakehouse, warehouse, data streaming, medallion pattern) Practical experience with Apache Spark, PySpark, Python and DataFrame handling Experience with Data Platforms (e.g., Microsoft Fabric, Azure Data Factory, Databricks, or Snowflake) Nice to Have (Optional): Experience with Python query engines (e.g. polars, duckdb) Experience with Kafka and Kafka related technologies (e.g. Apache Flink) Understanding of infrastructure, cloud services and network

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