Veact
Technical Lead – Data & Analytics(m/w/x)
Full-timeOn-siteSenior
München
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ISIsar Aerospace SE
Senior Data Engineer(m/w/x)
Ottobrunn
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
Developing scalable data platforms for New Space satellite launch solutions. Hands-on practice with Microsoft Fabric, Azure Data Factory, Databricks, or Snowflake required. 30 days vacation, plus 20% employer contribution to pension plan.
Requirements
- Experience with Apache Spark, PySpark, Python, and DataFrame handling
- Hands-on practice with Microsoft Fabric, Azure Data Factory, Databricks, or Snowflake
- Highly proficient with batch and streaming data processing
- Solid understanding of data architectures
- Experience with DeltaLake and Iceberg storage frameworks
- Excellent SQL proficiency for data querying, transformation, and analysis
- Experience with version control systems, preferably Git
- Experience with Python query engines, e.g., polars, duckdb
- Experience with Kafka and related technologies, e.g., Apache Flink
- Hands-on experience with PowerBI
- Understanding of infrastructure, Azure cloud services, and network
Tasks
- Work hands-on with the Data Platform
- Build scalable, high-performance data solutions
- Develop and deploy efficient ETL/ELT processes
- Ingest, transform, and load large amounts of data
- Contribute to data modeling and architecture decisions
- Ensure data consistency, accessibility, and low latency
- Maintain the long-term integrity of the data landscape
- Validate data quality and adhere to governance policies
- Provide observability for Data Platform processes
- React quickly to any disruptions in data processes
- Author technical and user documentation
- Guide and mentor less experienced engineers
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Apache Spark
- PySpark
- Python
- Microsoft Fabric
- Azure Data Factory
- Databricks
- Snowflake
- DeltaLake
- Iceberg
- SQL
- Git
- polars
- duckdb
- Kafka
- Apache Flink
- PowerBI
- Azure
Benefits
Competitive Pay
- Employee Participation 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
Learning & Development
- Individual learning allowance
Childcare
- Childcare allowance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Isar Aerospace SE and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ISIsar Aerospace SE
Senior Data Engineer(m/w/x)
Ottobrunn
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
Developing scalable data platforms for New Space satellite launch solutions. Hands-on practice with Microsoft Fabric, Azure Data Factory, Databricks, or Snowflake required. 30 days vacation, plus 20% employer contribution to pension plan.
Requirements
- Experience with Apache Spark, PySpark, Python, and DataFrame handling
- Hands-on practice with Microsoft Fabric, Azure Data Factory, Databricks, or Snowflake
- Highly proficient with batch and streaming data processing
- Solid understanding of data architectures
- Experience with DeltaLake and Iceberg storage frameworks
- Excellent SQL proficiency for data querying, transformation, and analysis
- Experience with version control systems, preferably Git
- Experience with Python query engines, e.g., polars, duckdb
- Experience with Kafka and related technologies, e.g., Apache Flink
- Hands-on experience with PowerBI
- Understanding of infrastructure, Azure cloud services, and network
Tasks
- Work hands-on with the Data Platform
- Build scalable, high-performance data solutions
- Develop and deploy efficient ETL/ELT processes
- Ingest, transform, and load large amounts of data
- Contribute to data modeling and architecture decisions
- Ensure data consistency, accessibility, and low latency
- Maintain the long-term integrity of the data landscape
- Validate data quality and adhere to governance policies
- Provide observability for Data Platform processes
- React quickly to any disruptions in data processes
- Author technical and user documentation
- Guide and mentor less experienced engineers
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Apache Spark
- PySpark
- Python
- Microsoft Fabric
- Azure Data Factory
- Databricks
- Snowflake
- DeltaLake
- Iceberg
- SQL
- Git
- polars
- duckdb
- Kafka
- Apache Flink
- PowerBI
- Azure
Benefits
Competitive Pay
- Employee Participation 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
Learning & Development
- Individual learning allowance
Childcare
- Childcare allowance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Isar Aerospace SE and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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.
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