Build the Market Leader in Satellite Analytics with us at LiveEO

At LiveEO, we combine Space Technology with AI to solve problems here on Earth.

LiveEO is applying the latest developments in artificial intelligence to analyse satellite data and is bringing the insights of earth observation data to customers in the enterprise sector. LiveEO’s ambitious goal is to monitor 1 billion assets across the globe with its unique SaaS solution until 2030.

We are looking for highly skilled Data Engineers to join our team. LiveEO leverages satellite imagery and artificial intelligence to provide actionable insights that drive decision-making across various industries. An example is the precise detection of trees and their height in high resolution imagery to protect our customers power grids from tree fall.

The focus of the role is on building robust and automated data pipelines around our geospatial processes that handle terabytes of data. Our pipelines involve a wide-range of topics such as efficient tiling strategies, merging of different data sources and challenges around various types of digital elevation models such as disparity matching & offset-correction.

Your challenge

• Own and operate the data pipelines that power Treeline, our satellite-based vegetation risk solution for power grid/railway operators.
• Build and scale automated workflows using Python, Prefect, and Ray to process large volumes of geospatial data in a robust and efficient way.
• Design, implement, and optimize Postgres-backed FastAPI services for managing asset data and delivering geospatial insights.
• Build monitoring, logging, and alerting into workflows to support smooth operations and reduce manual work.
• Collaborate closely with Product, Analytics, and Operations teams to deliver reliable and accurate data products.
• Contribute to a culture of DataOps and MLOps, emphasizing reproducibility, version control, automation, and fast feedback.
• Run data pipelines and services on AWS, using infrastructure-as-code and cloud-native tooling such as S3, EC2, ECR, Aurora, IAM, SQS/SNS.
• You’ll be part of a stream-aligned squad that automates the product end to end — from satellite data to actionable insights.

Your profile

• 4+ years of hands-on experience building and operating production-grade data pipelines in cloud environments.
• Strong Python engineering skills, with a focus on clean, maintainable, and testable code.
• Experience with workflow orchestration tools, ideally Prefect; familiarity with Airflow or Dagster is a plus.
• Solid understanding of distributed compute frameworks like Ray, Dask, or Spark.
• Hands-on experience building and deploying FastAPI services and working with Postgres or similar relational databases in production environments.
• Understanding of data architecture best practices (e.g., ETL/ELT design, schema versioning, metadata handling, reproducibility).
• Familiarity with CI/CD pipelines, Git, and containerisation using Docker.
• Located in or willing to relocate to Germany.

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;
• Variety of team building opportunities - from jogging groups, team sports, bouldering and picnics;
• A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons;
• Potential to participate in the employee stock option program;
• Office located in the center of Berlin Kreuzberg with free fruit, nuts and drinks;
• Urban Sports membership and BVG subsidy.