Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Kassel
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable data pipelines, integrate various data sources, and prepare grid data for simulation models to create a digital twin for future energy networks.
Job Technologies
Your role in the team
- As a Data Engineer for Digital Twins in the energy grid, you ensure that a computationally capable, consistent digital twin is created from diverse grid data.
- You integrate and connect various data sources from network operators, e.g., GIS, billing systems, control rooms, measurement and sensor data.
- You prepare data in a way that it can be directly used in our simulation and planning models.
- You develop scalable data pipelines and integration logic for existing and new customer systems.
- You evaluate and test new technologies and approaches to improve data quality, consistency, and automation.
- You work closely with software development, network planning, and our clients to translate technical requirements into clean data models.
- In short: You connect energy grids, data, and algorithms to create a reliable basis for decision-making in the energy transition.
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Our expectations of you
Education
- A completed university or college degree in Computer Science, Data Science, or a comparable field. Alternatively, at least two years of professional experience as a Data Engineer.
Qualifications
- Excellent knowledge of Python, especially in data processing (e.g., with pandas or similar libraries).
- Enjoyment in understanding, modeling, and standardizing complex data structures.
- Interest in energy networks and energy engineering issues - prior knowledge is a plus but not a must.
- A structured, solution-oriented work approach and enjoyment in making technical concepts understandable.
- Very good German skills, as many requirements are coordinated in close exchange with network operators and municipal utilities.
Experience
- Experience in working with databases - ideally both NoSQL and SQL (or the motivation to quickly familiarize yourself with one of these topics).
- Experience with software testing and software maintainability as well as Git.
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What we offer
- Future-proof industry: We operate at the heart of the energy transition—a market that is growing in the long term and is indispensable for our society.
- Meaningful work with impact: With us, you actively shape the energy infrastructure of tomorrow and support municipal utilities and grid operators in combining supply security and sustainability.
- Flexibility & Work-Life Balance: 30 days of vacation, flexible working hours, home office options, and the possibility to work full-time or part-time.
- Modern & flexible work equipment: Free choice between MacBook or Windows PC as well as equipment for your home office (e.g., monitor, keyboard, mouse).
- Appreciative team culture: short decision-making processes, working at eye level, an ambitious team, and space to contribute your own ideas - from day one.
- Health & Wellbeing: We support you with an ergonomic workspace (height-adjustable desks, ergonomic chairs) as well as a membership with Hansefit or Urban Sports Club.
- Mobility: Subsidy for the Germany Ticket and public transportation.
- Fair conditions: Transparent, fair compensation and clear development opportunities.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
retoflow GmbH
retoflow GmbH is an innovative software company based in Kassel that supports network operators and municipal utilities in the digitalization and automation of their network planning. As a spin-off of Fraunhofer IEE and the University of Kassel, the company offers a cloud platform that creates digital twins of energy networks from various data sources. Their solutions enable efficient connection tests, strategic target network planning, and live monitoring for a future-proof energy infrastructure.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy