Energy Data Engineer
Hybrid · Baar, Zug, Switzerland
Baar, Zug, SwitzerlandHybridFull TimeMid LevelBachelors DegreeStartup
Type
Full Time
Level
Mid Level
Education
Bachelors Degree
Company size
Startup
Job Summary
Energy Data Engineer responsible for analyzing energy data, developing AI-based price and energy forecasts, and generating actionable insights through analysis of operational and financial performance. Tasks include analyzing production, consumption, and storage data; conducting AI-based market analysis; developing KPI reports, dashboards, and data visualizations; validating data quality; and collaborating with IT, operations, sales, and country organizations to support data-driven decision-making.
Required Qualifications
- Completed degree in Data Science, Mathematics, Statistics, Business Informatics, Physics, Industrial Engineering or a related field
- 2–4 years of experience as a Data Analyst, ideally within an energy sector
- Proven experience in designing and building purpose-driven analytical environments
- Experienced in building data pipelines, including data extraction, validation, transformation and loading
- Practical experience working with modern cloud data infrastructures such as BigQuery, Snowflake, Redshift, or Databricks
- Ideally, experience applying and training AI models and machine learning algorithms
- High level of proficiency in SQL and solid experience with Python, R, MATLAB or comparable programming languages
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