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Enpal is building an integrated platform for decentralized energy solutions—solar systems, battery storage, wall boxes, smart meters, and heat pumps—powered by an AI-driven platform that optimizes electricity procurement and grid feed-in across thousands of systems.
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. You'll translate business priorities into execution plans, guide technical decisions, unblock the team, and deliver reliable data products for BI, self-service analytics, and AI-enabled use cases.
Key responsibilities include:
- Lead, coach, and develop an international BI and Data Analytics team, building a motivating and accountable environment.
- Model clean, documented datasets in dbt from staging through marts; own tests, documentation, metric definitions, data contracts, and version control workflows.
- Develop a semantic layer with governed metrics and dimensions and drive 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 flexibility to relocate 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).
