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Senior Data Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Apache Spark
- PySpark
- Python
- Microsoft Fabric
- Azure Data Factory
- Databricks
- Snowflake
- DeltaLake
- Iceberg
- SQL
- Git
- polars
- duckdb
- Kafka
- Apache Flink
- PowerBI
- Azure
Benefits
Attraktive Vergütung
- Employee Participation Program
Mehr Urlaubstage
- 30 days of vacation
Betriebliche Altersvorsorge
- Company pension plan with 20% employer contribution
Gratis oder Vergünstigte Mahlzeiten
- Subsidised lunch
Öffi Tickets
- Public transport ticket
Gesundheits- & Fitnessangebote
- Sport Clubs membership
Weiterbildungsangebote
- Individual learning allowance
Kinderbetreuung
- Childcare allowance
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Senior Data Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Apache Spark
- PySpark
- Python
- Microsoft Fabric
- Azure Data Factory
- Databricks
- Snowflake
- DeltaLake
- Iceberg
- SQL
- Git
- polars
- duckdb
- Kafka
- Apache Flink
- PowerBI
- Azure
Benefits
Attraktive Vergütung
- Employee Participation Program
Mehr Urlaubstage
- 30 days of vacation
Betriebliche Altersvorsorge
- Company pension plan with 20% employer contribution
Gratis oder Vergünstigte Mahlzeiten
- Subsidised lunch
Öffi Tickets
- Public transport ticket
Gesundheits- & Fitnessangebote
- Sport Clubs membership
Weiterbildungsangebote
- Individual learning allowance
Kinderbetreuung
- Childcare allowance
Über das Unternehmen
Isar Aerospace SE
Branche
Aerospace
Beschreibung
The company is at the forefront of New Space, providing sustainable launch solutions for small and medium-sized satellites.
Noch nicht perfekt?
- Veact
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