Case Report · Keilaniemi Grid Systems · Espoo Tech Talent Match, Thursday 3 December 2026

Data engineer, load forecasting

Each team’s solution, what you saw, and the next steps.

Three utilities send us meter data in different formats, and our load forecasts are off by 12% on cold days. You would build one clean pipeline and a dashboard the grid operators trust.

What the teams did in 90 minutes

You get one week of meter data from three utilities in three formats. In 90 minutes, sketch one clean data model and show how you would catch a cold-day forecast error.

Must-have skills

  • SQL
  • analyse big data
  • Python (computer programming)

Sprint on Thursday 3 December 2026, 10:00–11:30.