Hybrid Senior Data Engineer – Remote Sensing, AI Pipelines

at LiveEO

• Job title: Senior Data Engineer – Remote Sensing, AI Pipelines
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Cloud, ETL, Postgres, Python, PyTorch, Ray
• Location requirements: Hybrid, Berlin, Germany

About the role

• Senior Data Engineer responsible for building high-performance data pipelines for satellite analytics. Collaborating with ML Engineers and product teams to enable actionable insights from satellite data.

Responsibilities

• 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.

Requirements

• 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.

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.