Energy Data Engineer, Developer

• Analyze energy data, including production, consumption, and storage information, to identify optimization opportunities
• Conduct AI-based market analysis and contribute to the development of price and energy forecasts
• Analyze asset data, project progress, and operational, environmental, and financial performance
• Perform trend, variance, and gap analysis, translating findings into actionable recommendations
• Validate data quality and perform plausibility checks to continuously improve analytical outputs
• Develop and maintain a central data and reporting infrastructure in close collaboration with IT teams
• Create KPI reports, dashboards, and data visualizations for internal and external stakeholders
• Collaborate with management, operations, sales, and country organizations to support data-driven decision-making

Requirements

• Completed degree in Computer Science, Software Engineering, Data Science, Business Informatics, Physics, Engineering or a related field — or equivalent practical experience
• 3+ years building data pipelines that ran in production, with real users and real consequences when they broke
• High proficiency in SQL, including window functions and time-series aggregation
• Strong Python skills
• Experience operating a time-series or analytical data store such as TimescaleDB, PostgreSQL at scale, ClickHouse, Snowflake, BigQuery, Databricks or comparable
• Practical experience deploying and maintaining your own infrastructure
• Experience with infrastructure-as-code, such as Terraform or similar
• Experience with CI/CD, containers, and cloud
• Ability to take ownership when a pipeline fails and describe subsequent improvements
• Comfortable being the sole owner of a system

Core Competencies

Demonstrates expertise in data analysis, including energy data optimization and AI-based market analysis, while proficiently developing data pipelines and maintaining infrastructure. Strong ability to create data visualizations and reports that support data-driven decision-making across various organizational levels.

Highest-signal resume keywords

• Data Pipeline Development
• SQL Proficiency
• Python Programming
• Infrastructure-as-Code
• CI/CD Experience

Hard Skills

• Data Analysis
• Trend Analysis
• Variance Analysis
• Gap Analysis
• KPI Reporting
• Data Visualization
• Time-Series Aggregation
• Plausibility Checks
• Optimization Opportunities
• AI-Based Market Analysis

Soft Skills

• Collaboration
• Ownership
• Problem-Solving

Industry Keywords

• Energy Data
• Data-Driven Decision-Making
• Operational Performance
• Environmental Performance
• Financial Performance

Tools & Technologies

• TimescaleDB
• PostgreSQL
• ClickHouse
• Snowflake
• BigQuery
• Databricks
• Terraform
• Containers
• Cloud Infrastructure