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Senior Data Engineer - Remote Sensing & AI Pipelines(m/w/x)
Building satellite imagery processing pipelines with Prefect and Ray on AWS. Python mastery and distributed computing expertise required. Flexible hours, no overtime culture.
Requirements
- Mastery of Python for clean, maintainable, testable code
- Proficiency in Prefect or Airflow
- Proficiency in distributed computing frameworks like Ray or Anyscale
- Deep expertise in AWS infrastructure
- Deep expertise in Databricks for large-scale data processing
- Strong knowledge of PostgreSQL
- Strong knowledge of managing complex metadata at scale
- Pragmatic delivery mindset
- Balancing robust infrastructure with iterative delivery
- Experience with GDAL, Rasterio, GeoPandas, and STAC for Earth Observation data (plus)
- Familiarity with PyTorch Lightning and MLflow (plus)
- Basic knowledge of SAR preprocessing libraries and data formats (plus)
Tasks
- Build and maintain scalable data pipelines using Prefect and Ray
- Ingest, process, and standardize satellite imagery
- Own standardization of high-resolution SAR and optical imagery
- Perform normalization, tiling/chipping, and co-registration checks
- Optimize cloud-native stack on AWS
- Manage metadata and operational data stores with Databricks and PostgreSQL
- Partner with ML Engineers to deliver production-ready data components
- Develop inference interfaces for downstream teams
- Automate feedback loops on data quality with the annotation team
- Ensure datasets reflect real-world edge cases
- Implement monitoring signals for system reliability
- Establish deterministic evaluation frameworks for pipeline reproducibility
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Prefect
- Airflow
- Ray
- Anyscale
- AWS
- Databricks
- PostgreSQL
- GDAL
- Rasterio
- GeoPandas
- STAC
- PyTorch Lightning
- MLflow
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
Informal Culture
- No overtime culture
- Creative freedom
- Collaborative environment
- Diverse international environment
More Vacation Days
- Time off for overtime
Other Benefits
- Product improvement potential
Career Advancement
- Career development empowerment
Learning & Development
- Learning environment
- Internal workshops
- Knowledge sharing sessions
- Journal clubs
Team Events
- Hackathons
Modern Office
- Office in Berlin Kreuzberg
Snacks & Drinks
- Free fruit
- Free nuts
- Free drinks
Competitive Pay
- Employee stock option program
Healthcare & Fitness
- Urban Sports membership
Public Transport Subsidies
- BVG subsidy
Retirement Plans
- Corporate pension program
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Senior Data Engineer - Remote Sensing & AI Pipelines(m/w/x)
Building satellite imagery processing pipelines with Prefect and Ray on AWS. Python mastery and distributed computing expertise required. Flexible hours, no overtime culture.
Requirements
- Mastery of Python for clean, maintainable, testable code
- Proficiency in Prefect or Airflow
- Proficiency in distributed computing frameworks like Ray or Anyscale
- Deep expertise in AWS infrastructure
- Deep expertise in Databricks for large-scale data processing
- Strong knowledge of PostgreSQL
- Strong knowledge of managing complex metadata at scale
- Pragmatic delivery mindset
- Balancing robust infrastructure with iterative delivery
- Experience with GDAL, Rasterio, GeoPandas, and STAC for Earth Observation data (plus)
- Familiarity with PyTorch Lightning and MLflow (plus)
- Basic knowledge of SAR preprocessing libraries and data formats (plus)
Tasks
- Build and maintain scalable data pipelines using Prefect and Ray
- Ingest, process, and standardize satellite imagery
- Own standardization of high-resolution SAR and optical imagery
- Perform normalization, tiling/chipping, and co-registration checks
- Optimize cloud-native stack on AWS
- Manage metadata and operational data stores with Databricks and PostgreSQL
- Partner with ML Engineers to deliver production-ready data components
- Develop inference interfaces for downstream teams
- Automate feedback loops on data quality with the annotation team
- Ensure datasets reflect real-world edge cases
- Implement monitoring signals for system reliability
- Establish deterministic evaluation frameworks for pipeline reproducibility
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Prefect
- Airflow
- Ray
- Anyscale
- AWS
- Databricks
- PostgreSQL
- GDAL
- Rasterio
- GeoPandas
- STAC
- PyTorch Lightning
- MLflow
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
Informal Culture
- No overtime culture
- Creative freedom
- Collaborative environment
- Diverse international environment
More Vacation Days
- Time off for overtime
Other Benefits
- Product improvement potential
Career Advancement
- Career development empowerment
Learning & Development
- Learning environment
- Internal workshops
- Knowledge sharing sessions
- Journal clubs
Team Events
- Hackathons
Modern Office
- Office in Berlin Kreuzberg
Snacks & Drinks
- Free fruit
- Free nuts
- Free drinks
Competitive Pay
- Employee stock option program
Healthcare & Fitness
- Urban Sports membership
Public Transport Subsidies
- BVG subsidy
Retirement Plans
- Corporate pension program
About the Company
LiveEO GmbH
Industry
Aerospace
Description
The company leverages satellite imagery and AI to provide actionable insights for decision-making across various industries.
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