Data Engineer
Den Haag
Contribute to Voltho Gridflow: our Python-driven model for grid congestion, batteries, and energy system analyses. You convert raw market, grid, and asset data into reproducible simulations and actionable insights for clients investing in the energy transition.
The electricity grid is becoming increasingly crowded. With load-flow and scenario analyses, we help companies and investors better assess where there is space, risk, and flexibility. You assist in further professionalizing the data and model pipeline behind these analyses.
Responsibilities
- You collect, clean, and structure data on electricity grids, production, consumption, storage, and flexibility.
- You model grid components such as substations, lines, cables, and transformers.
- You build Python pipelines that convert raw data into input for load-flow and energy system models.
- You work with time series, scenario runs, validation checks, logging, and result visualizations.
- You help make model outcomes understandable for clients, reports, and dashboards.
Required
- You are strong in Python, pandas, data processing, and structured work.
- HBO/WO work and thinking level, for example in computer science, data science, mathematics, physics, electrical engineering, or a similar field.
- You can debug independently and consider data quality, reproducibility, and clear documentation important.
- You can quickly consult and make well-considered choices and decisions.
- Preferably at least 2 years of relevant experience. More experience is of course welcome.
A nice bonus
- Experience with load-flow, power system, or energy market models.
- Experience with PyPSA, PowerFactory, PLEXOS, GIS data, or OpenStreetMap.
- Interest in electricity grids, batteries, flexibility, and grid congestion.
- Experience with data visualization, dashboards, or customer-oriented analyses. You enjoy explaining complex analyses simply.
- You consciously use AI tools to develop code faster and better.
What is great about the job?
- You work on current issues related to grid congestion, energy storage, and flexibility.
- You contribute to building your own model instead of just using existing tools.
- You have a lot of responsibility in a small and content-rich team.
- You learn quickly about electricity grids, energy markets, and the energy transition.
- You have a lot of autonomy in your approach, tooling, and planning.
- We work with short lines of communication, little bureaucracy, and plenty of room for initiative.