Join LiveEO as a Data Engineer and Lead the Future of Satellite Analytics

LiveEO is at the forefront of leveraging satellite imagery and artificial intelligence to provide groundbreaking insights for various industries. Our cutting-edge solutions, such as detecting tree heights to protect power grids and identifying hazardous construction around critical infrastructures, are vital for our clients' decision-making processes.

About the Role

We are seeking a highly skilled Data Engineer to join our AI team. You will play a pivotal role in developing state-of-the-art geospatial AI models by creating robust, automated, and efficient data pipelines. These pipelines will transform terabytes of satellite data into machine learning-ready formats, facilitating large-scale model training.

Your Responsibilities

• Design, implement, and maintain data pipelines for large-scale geospatial raster data.
• Automate data workflows using orchestration engines such as Prefect.
• Manage and optimize relational databases, ensuring data integrity and performance (experience with PostgreSQL and Snowflake preferred).
• Continuously improve data processing frameworks, addressing challenges in large-scale Machine Learning pipelines and satellite image processing.
• Ensure data selection, observability, and versioning for both data and models, along with automated data QA.

Your Profile

• Proven experience in designing, building, and maintaining high-throughput data pipelines, especially for raster data.
• Strong expertise in creating and managing ETL pipelines.
• Proficiency in Python, with a focus on writing clean, efficient, and maintainable code.
• Knowledge of parallel computing, concurrent programming, and performance optimization for high-volume data processing.
• A proactive problem-solver with a willingness to tackle challenging and broad technical topics, driving innovation to enhance data quality and process efficiency.
• Understanding of geospatial and remote sensing data processing techniques is a significant plus.
• Experience with Machine Learning Operations (MLOps) tools and practices at scale is desirable.
• Skilled in managing relational databases, such as PostgreSQL and Snowflake, with a solid understanding of database design and query optimization.
• Willingness to relocate to or currently residing in Berlin.

Tech Stack & Tools

• Programming: Python (including Rasterio, Numpy, PDAL, OSGEO, Geopandas, SQLAlchemy)
• Orchestration: Prefect, Anyscale/Ray
• Databases: PostgreSQL, PostGIS
• Infrastructure: Docker, AWS
• GIS: QGIS, GDAL

Benefits of Joining LiveEO

• Opportunity to create products that enhance business processes and lives globally.
• Flexible working hours and hybrid work model to support a healthy work-life balance.
• Empowerment to drive career development, take initiative, and be creative.
• A culture that respects work-life balance, with minimal overtime and compensatory off time.
• Engaging team building activities, including jogging groups, team sports, bouldering, and picnics.
• A collaborative learning environment with workshops, knowledge sharing sessions, journal clubs, and hackathons.
• Office located in the heart of Berlin Kreuzberg with free fruit, nuts, and drinks.
• Eligibility to participate in the employee stock option program.
• Urban Sports membership and BVG subsidy, along with a corporate pension program.
• A diverse, vibrant international team, encompassing over 30 nationalities.

If you are ready to take on new technical challenges and contribute to groundbreaking projects in satellite analytics, apply now to join LiveEO as a Data Engineer.

Company Name: LiveEO
Job Title: Data Engineer (f/m/x) in the field of AI & Satellite Data