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Enpal is Germany's first green unicorn, building an integrated platform for decentralized energy solutions—solar systems, battery storage, wall boxes, smart meters, and heat pumps. The company's AI-powered platform Enpal.One intelligently connects thousands of systems and optimizes electricity procurement and feed-in on the energy market.
You will lead an international BI and Data Analytics team across EMEA in a hands-on role combining people management, technical leadership, stakeholder management, and end-to-end data project delivery. This is a blend of strategic team leadership and hands-on technical contribution.
Key responsibilities include:
- Lead, coach, and develop an international BI and Data Analytics team, building a motivating, accountable, and change-oriented environment
- Model clean, documented datasets in dbt from staging through to marts; own tests, documentation, metric definitions, data contracts, and version control workflows
- Develop a semantic layer with governed metrics and dimensions, driving adoption of dbt best practices
- Support diagnosis of source data issues, reconciliation inconsistencies, and establishment of a single source of truth
- Support data migration, ELT pipelines, and data platform consolidation
- Optimize Snowflake performance, data freshness, and data quality; own processes that keep the data platform reliable
- Use Python for data checks, automation, and utilities
- Partner with BI and business teams to deliver certified datasets, self-service standards, and end-to-end reporting solutions
- Translate business needs into scalable data products and governed metrics
- Turn business priorities into project plans, identify risks and trade-offs, unblock the team, and drive delivery
- Mentor the team on analytics engineering best practices, modern tooling, and AI-assisted development
Enpal offers a hybrid working model with Workflex allowing relocation abroad for up to 30 days per year. The company provides 29 + 2 vacation days, discounted Wellhub membership, corporate benefits, and operates from a modern office in Berlin-Friedrichshain with a diverse team of over 65 nationalities.
REQUIREMENTS:
- 3+ years of experience in Analytics Engineering, BI Development, Data Engineering, or related field, including 1+ years of people or team leadership
- Expert-level SQL and strong data modeling and architecture skills, including star schemas, semantic layers, governed metrics, data contracts, and ELT pipelines
- Hands-on experience building production-grade dbt projects, including staging-to-marts layering, tests, documentation, ownership, and version-control workflows
- Snowflake experience, including query performance optimization, data freshness, and quality monitoring
- Python skills for data checks, automation, and utilities
- Experience with data quality and operations, including testing, monitoring, source-data reconciliation, CI/CD, data cataloging, and cost/performance tuning
- Experience creating dbt models and documentation, AI-ready data products, and using AI-assisted development tools
- Experience delivering certified datasets, self-service standards, and BI/reporting solutions end-to-end
- Strong stakeholder management and communication skills, with a hands-on, entrepreneurial, and problem-solving mindset
- Motivational leadership style, positive drive for change, and confidence to challenge assumptions and make decisions
NICE TO HAVE:
- Experience with semantic layer tools such as dbt MetricFlow or Snowflake Semantic Views
- Experience with AWS, Azure, or GCP
- Experience leading distributed or international teams
- German language skills (strong plus but not mandatory)
