With our AI-powered fully automated optimization and trading platform for flexible energy assets from grid-scale batteries to virtual power plants, we ensure that energy is stored when it is abundant and released into the grid when it is needed. At the same time, by actively trading electricity, we counteract strong price fluctuations that green energies entail. Figuring out how storage provides the best value to the electricity grid and the highest returns to asset owners is how we accelerate the transition to a clean energy future.
Join us on our journey: To drive the smart and sustainable energy future, we are looking for a forward-thinking and experienced Data Engineer (d/f/m) who shares our vision and values by designing, building, and monitoring our data infrastructure.
Location: Munich, Germany
Employment Type: Full-Time, indefinite term
Salary Range: € 80.000 - 88.000 per year gross depending on the seniority level
Working Mode: Hybrid work setup (min. 3 days in the office, 2 days in home office) + Workation up to 3 weeks per year
Language Requirement: C1 Level English
Drive our data strategy and make sure it’s aligned with Entrix goals
Design, build, and monitor our data infrastructure, including data pipelines and Data Warehousing, integrating various data sources and destinations.
Develop data models and schemas supporting the requirements of our data-driven products
Work with other engineering teams to resolve architecture and infrastructure challenges, designing effective solutions.
Participate in cross-functional projects supporting data applications and reporting.
Address data quality issues, implementing best practices
Create and maintain comprehensive systems documentation.
Lead data engineering initiatives that deliver tangible business value, ensuring the solutions deployed are effectively utilized and aligned with our strategic goals.
Evaluate and reassess data-related vendors and tools
Bachelor's degree in Computer Science or a related engineering field.
3+ years of proven experience in data engineering roles.
Expertise in designing, building, monitoring, and scaling data warehousing pipelines.
Hands-on experience with modern data engineering platforms such as Apache Spark and Apache Airflow.
Proficient in Python
Extensive hands-on experience with cloud platforms, specifically AWS.
Familiarity with AWS data warehousing technologies, including Athena, S3 and etc.
Your contact person is Kristina Kilian (People & Culture Manager).
If you have any questions, feel free to send us an email to
We are looking forward to receiving your application!