Build the Market Leader in Satellite Analytics with us at LiveEO
LiveEO is a young, dynamic team that thrives on big challenges and fast learning cycles—we move quickly, stay curious, and genuinely enjoy building together. We're on a mission to break the "curse of Earth Observation": turning incredible satellite data into reliable, actionable decisions that people can trust and use in real operations.
Your challenge
- Build Scalable Data Pipelines: Design and maintain robust ETL/ELT workflows using Prefect and Ray to ingest, process, and standardize massive volumes of satellite imagery.
- EO Data Management: Own the standardization of high-resolution SAR and optical imagery, focusing on normalization, tiling/chipping, and co-registration sanity checks to ensure data integrity.
- Infrastructure & Tooling: Optimize our cloud-native stack on AWS, leveraging Databricks and PostgreSQL to manage metadata and operational data stores.
- Collaborative AI Support: Partner closely with ML Engineers to deliver production-ready data components and inference interfaces that downstream teams can depend on.
- Data Quality & Diagnostics: Work hand-in-hand with the data annotation team to automate feedback loops on data quality and ensure datasets reflect real-world edge cases.
- System Reliability: Implement monitoring signals and deterministic evaluation frameworks to ensure pipeline reproducibility across various geographies and acquisition conditions.
Your profile
- Strong Software Engineering: Mastery of Python with a focus on clean, maintainable, and testable code.
- Data Orchestration & Compute: Proficiency in using Prefect (or Airflow) and distributed computing frameworks like Ray or Anyscale.
- Cloud & Big Data: Deep expertise in AWS infrastructure and Databricks for large-scale data processing.
- Database Management: Strong knowledge of PostgreSQL and managing complex metadata at scale.
- Pragmatic Delivery: A mindset that balances building robust, long-term infrastructure with the need for practical, iterative delivery.
- Geospatial Stack: Experience with GDAL, Rasterio, GeoPandas, and STAC for handling Earth Observation data is a plus.
- ML Integration: Familiarity with PyTorch Lightning and MLflow to better support the ML R&D lifecycle is a plus.
- SAR Experience: Basic knowledge of SAR preprocessing libraries and data formats is a plus.
Your Benefits
- The opportunity to create a product that can improve business processes and lives across the globe.
- Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance.
- We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold.
- Not an overtime culture - we take care that overtime is done only as a necessity and always offset with time off and rest.
- A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons.
- Office located in the centre of Berlin Kreuzberg with free fruit, nuts and drinks.
- Potential to participate in the employee stock option program.
- Urban Sports membership and BVG subsidy, corporate pension program.
- A diverse and vibrant international environment of 30+ different nationalities.