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Data Engineer Data Platform(m/w/x)
Building a modern data platform for New Space access, consolidating structured and unstructured data. High proficiency in batch/streaming processing and OLAP, DeltaLake, Iceberg required. Virtual company share program, 30 days vacation.
Requirements
- High proficiency in 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
- 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, Snowflake)
- 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
- Affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect application process due to security clearance
Tasks
- Work hands-on with the Data Platform
- Consolidate structured and unstructured data
- Empower data-driven decisions
- Build modern, scalable solutions
- Develop efficient ETL/ELT processes
- Ingest, transform, and load data from diverse sources
- Contribute to data modeling and architecture
- Ensure data consistency and availability
- Maintain low latency and long-term data maintainability
- Ensure data quality through validation
- Adhere to data governance policies
- Provide observability for Data Platform processes
- React quickly to disruptions
- Author technical and user documentation
- Guide less experienced engineers
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- OLAP
- DeltaLake
- Iceberg
- SQL
- Apache Spark
- PySpark
- Python
- Microsoft Fabric
- Azure Data Factory
- Databricks
- Snowflake
- polars
- duckdb
- Kafka
- Apache Flink
Benefits
Competitive Pay
- Virtual company share program
More Vacation Days
- 30 days of vacation
Retirement Plans
- Company pension plan with 20% employer contribution
Free or Subsidized Food
- Subsidised lunch
Public Transport Subsidies
- Public transport ticket
Healthcare & Fitness
- Sport clubs membership
Additional Allowances
- Individual learning allowance
- Childcare allowance
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Not a perfect match?
- Roland BergerFull-timeOn-siteJuniorMünchen
- HSE
Cloud Data Engineer(m/w/x)
Full-timeOn-siteNot specifiedIsmaning - Dataciders GmbH
Cloud Data Engineer(m/w/x)
Full-timeOn-siteJuniorBerlin, München
Data Engineer Data Platform(m/w/x)
Building a modern data platform for New Space access, consolidating structured and unstructured data. High proficiency in batch/streaming processing and OLAP, DeltaLake, Iceberg required. Virtual company share program, 30 days vacation.
Requirements
- High proficiency in 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
- 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, Snowflake)
- 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
- Affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect application process due to security clearance
Tasks
- Work hands-on with the Data Platform
- Consolidate structured and unstructured data
- Empower data-driven decisions
- Build modern, scalable solutions
- Develop efficient ETL/ELT processes
- Ingest, transform, and load data from diverse sources
- Contribute to data modeling and architecture
- Ensure data consistency and availability
- Maintain low latency and long-term data maintainability
- Ensure data quality through validation
- Adhere to data governance policies
- Provide observability for Data Platform processes
- React quickly to disruptions
- Author technical and user documentation
- Guide less experienced engineers
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- OLAP
- DeltaLake
- Iceberg
- SQL
- Apache Spark
- PySpark
- Python
- Microsoft Fabric
- Azure Data Factory
- Databricks
- Snowflake
- polars
- duckdb
- Kafka
- Apache Flink
Benefits
Competitive Pay
- Virtual company share program
More Vacation Days
- 30 days of vacation
Retirement Plans
- Company pension plan with 20% employer contribution
Free or Subsidized Food
- Subsidised lunch
Public Transport Subsidies
- Public transport ticket
Healthcare & Fitness
- Sport clubs membership
Additional Allowances
- Individual learning allowance
- Childcare allowance
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Isar Aerospace SE
Industry
Aerospace
Description
The company is at the forefront of New Space, providing sustainable launch solutions for small and medium-sized satellites.
Not a perfect match?
- Roland Berger
Junior Data Engineer(m/w/x)
Full-timeOn-siteJuniorMünchen - HSE
Cloud Data Engineer(m/w/x)
Full-timeOn-siteNot specifiedIsmaning - Dataciders GmbH
Cloud Data Engineer(m/w/x)
Full-timeOn-siteJuniorBerlin, München