- 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
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Energy Data Engineer, Developer in Baar Arbeitgeber: Jobtailor
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