Description

You will bridge the gap between complex regulations and technical execution by building robust data models and rule-driven logic to power mission-critical energy services.

Requirements

• •At least 4 years of Data Analysis or Analytics Engineering experience
• •Experience in infrastructure-heavy or regulated environments ideally
• •Hands-on experience with SQL and Python
• •Experience with large, complex datasets and time series data
• •Ability to clean and transform data
• •Experience translating operational rules into decision logic
• •Familiarity with Azure, Snowflake, or dbt ideally
• •Knowledge of data modeling concepts ideally
• •Experience with energy market data flows ideally
• •Clear communication in English
• •Knowledge of German as a strong plus
• •Enjoyment of agile, cross-functional teamwork
• •Ownership and contribution to data system design

Tasks

• •Design and maintain robust data models
• •Support regulatory market communication and forecasting
• •Analyze data quality and detect anomalies
• •Propose improvements for metering and backend processes
• •Translate requirements into auditable decision logic
• •Transform ambiguous needs into testable rule definitions
• •Implement rule-driven logic using SQL and Python
• •Optimize logic for performance and scalability
• •Collaborate with product, engineering, and operations teams
• •Document rule behavior and change history

Tools & Technologies

Benefits