Data Engineer, LiveEO
+ Employee stock option program
Office located in Berlin Kreuzberg
Business-ready risk intelligence from space
Posted today
Business-ready risk intelligence from space
101-200 employees
Posted today
+ Employee stock option program
Office located in Berlin Kreuzberg
101-200 employees
Company mission
To unlock the full potential of Earth Observation data for the benefit of all mankind and to protect life on Earth.
Role
Who you are
- Strong Python in production, not scripting-only
- Building and running backend services with FastAPI (or similar), SQLAlchemy, Alembic and Pydantic
- PostgreSQL, and spatial data (PostGIS, GeoAlchemy2 or equivalent) is a strong plus
- AWS in production, mainly S3, Lambda, EC2 and IAM basics
- Orchestration with Prefect, Airflow, Dagster or equivalent
- Comfort handling geospatial raster and vector data (rasterio, geopandas, shapely, STAC, COG) at a level where you can move it reliably
- Pragmatic delivery and a reliability and ops mindset, so you ship robust, well-tested services and keep them running
- Ownership and verification mindset, so you validate outputs against reality and catch results that look right but are not, using judgment and not just code
- Distributed compute with Ray or Anyscale is a plus
- MLflow, or experiment and dataset versioning is a plus
- Remote-sensing or geospatial foundations, or SAR exposure (Capella, Sentinel-1) is a plus
- Observability with structured logging, OpenTelemetry and alerting is a plus
- Satellite provider APIs such as Capella, UP42, Planet and ICEYE is a plus
What the job involves
- We are looking for a Data Engineer (f/m/x) to own and harden the data-delivery and serving backbone of SurfaceScout, LiveEO's solution for monitoring changes around critical assets like pipelines and power grids to protect utility customers from third-party interference
- You will make the path from detection to delivered customer insight reliable and repeatable
- This covers the delivery-management and insight-generation services, the post-processing steps, and the AWS and Prefect platform that runs them end to end, at scale across thousands of km at a daily cadence
- While our remote-sensing and detection-model specialists focus on imagery and models, you will be the custodian of the systems that turn their output into a dependable product that is deterministic, observable and resilient
- This is a hands-on, delivery-first backend and platform role, with plenty of room to grow into the wider geospatial data platform
- You will sit within the SurfaceScout Data Engineering & ML squad and work alongside the senior engineers who own the delivery and serving platform, sharing that ownership so the systems are no longer a single-person dependency
- You will collaborate with the App squad and the platform teams that co-own the shared Imagery API, and partner with our in-house labelling studio, Operations Support Studio (OST), on data quality
- SAR change-detection research, meaning coherent change detection, InSAR and semantic-change work, is driven by our remote-sensing specialist together with LiveEO's Section 4 team. You consume its outputs, you do not build them
- Your challenge:
- Delivery & serving services:
- Co-own and extend the delivery-management service (SDMS) and the insight-generation and post-processing services, the path that turns model detections into delivered, customer-ready insights
- Harden these into well-tested, documented services so they are no longer a single-person dependency
- Platform, orchestration & AWS:
- Own and maintain the AWS and Prefect delivery platform, meaning the Lambda-based glue, the orchestration flows and the cross-repo release, and keep it deterministic and repeatable
- Manage the PostgreSQL and PostGIS data model behind delivery, including the schema and the migrations via Alembic
- Reliability & delivery operations:
- Be a reliable second owner for where the pipeline breaks. You unblock stuck orchestration runs, keep delivery SLAs met, and cut out manual steps
- Data quality, metadata & diagnostics:
- Automate QA across the serving path, covering schema and geometry integrity and coverage gaps, and maintain structured metadata and STAC entries so every delivery is traceable
- Tech stack & tools:
- Core language: Python (uv-managed)
- Backend services: FastAPI, Uvicorn, SQLAlchemy, Alembic and Pydantic
- Data: PostgreSQL and PostGIS (via GeoAlchemy2)
- Cloud and infrastructure: AWS, mainly S3, Lambda and EC2
- Orchestration and compute: Prefect and Ray/Anyscale
- Geospatial and EO: GDAL, Rasterio, GeoPandas, Shapely, STAC (pystac) and Cloud-Optimised GeoTIFF (rio-cogeo)
- ML lifecycle: MLflow
Our take
LiveEO’s Earth Observation platform uses satellite data, data analysis software, and AI to help infrastructure companies monitor and assess risks. Backed by the European Space Agency, LiveEO, founded in 2017, has major European clients like Deutsche Bahn, E.ON subsidiaries, and Gascade. And a partnership with Planet enables global scaling of its monitoring operations.
Since 2021, LiveEO has tripled its revenues and doubled its workforce, showcasing its successful integration of space tech and enterprise data. After entering the EU Deforestation Regulation compliance market in 2023, LiveEO has positioned itself as a leader in the emerging deforestation monitoring market.
LiveEO’s AI models are enhancing climate resilience for global infrastructure networks, including collaborations in the USA, Australia, and Japan. It's continuing its expansion with a 2026 funding raise of $28 million, which will help it scale its AI platform and expand its satellite capabilities. With a robust AI and deep tech stack, LiveEO is setting a new industry standard, unlocking the full potential of earth observation for humanity and life on Earth.
Steph
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
May 2026
$32m
LATE VC
Apr 2026
$1.2m
GRANT
Total funding: $104.5m
Company HQ
Wrangelkiez, Berlin, Germany
Leadership
Sven Przywarra
(Co-Founder & Co-CEO)Previously worked in science-focused startup, Part-Time Scientists in the business development and PR teams. Studied Industrial Engineering and Management at Technische Universität Berlin.
Daniel Seidel
(Co-Founder & Co-CEO)Has a Masters from ASTROFEIN where they studied low earth orbit satellites. Also founded and organises NewSpaceVision - a platform to learn and exchange about the developments in the NewSpace Economy.
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