Senior Data Engineer (f/m/x) in the field of AI & Satellite Data

TN Germany; Berlin; Hybrid; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen Senior Data Engineer, der sich auf den Aufbau robuster Datenpipelines in der Satellitendatenanalyse spezialisiert hat. In dieser spannenden Rolle arbeiten Sie mit fortschrittlichen Technologien, um wertvolle Erkenntnisse aus Satellitenbildern zu gewinnen und diese für verschiedene Branchen nutzbar zu machen. Sie werden Teil eines dynamischen Teams, das sich der Automatisierung und Optimierung von Datenprozessen widmet, während Sie gleichzeitig an der Entwicklung von Lösungen arbeiten, die das Leben der Menschen weltweit verbessern. Flexible Arbeitszeiten und ein hybrides Arbeitsmodell fördern eine gesunde Work-Life-Balance und Kreativität. Wenn Sie eine Leidenschaft für Daten und Technologie haben, ist dies die perfekte Gelegenheit für Sie.

Leistungen

Flexible Arbeitszeiten

Hybrides Arbeitsmodell

Mitarbeiteraktienoptionen

Büro in Berlin Kreuzberg

Kostenlose Snacks und Getränke

Urban Sports Mitgliedschaft

BVG Zuschuss

Team-Building Aktivitäten

Qualifikationen

• 4+ Jahre Erfahrung in der Entwicklung von Datenpipelines in Cloud-Umgebungen.
• Starke Python-Kenntnisse mit Fokus auf sauberen, wartbaren Code.

Aufgaben

• Bauen und Skalieren automatisierter Workflows zur Verarbeitung großer Datenmengen.
• Entwickeln und Optimieren von FastAPI-Services zur Verwaltung von Asset-Daten.

Kenntnisse

Python

Data Pipeline Development

AWS

FastAPI

Postgres

DataOps

MLOps

CI/CD

Docker

Workflow Orchestration

Tools

Prefect

Ray

Dask

Spark

Jobbeschreibung

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Senior Data Engineer (f/m/x) in the field of AI & Satellite Data, Berlin

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Client:

LiveEO GmbH

Location:

Berlin, Germany

Job Category:

-

EU work permit required:

Yes

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Job Reference:

903fa38f43e3

Job Views:

1

Posted:

09.05.2025

Expiry Date:

23.06.2025

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Job Description:

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. Usually these processes serve as pre- or post-processing steps for our Machine Learning models. We don’t expect you to be an expert in all of the above but you should have the willingness to dive into and work on multiple topics.

• 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.
• 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.

About us

LiveEO is a well funded startup founded in 2018 and based in Berlin. Our primary service is modelling risk to our customers’ assets and infrastructure from vegetation, ground deformation and change detection. We currently have around 100 employees from all over the world with a variety of backgrounds