Enpal is a German residential solar company that helps homeowners adopt photovoltaic energy through a single, coordinated service. Its purchase and rental plans can combine solar panels with battery storage, an EV wallbox, a heat pump and an app, with installation handled by regional teams. Enpal’s turnkey model brings financing options, equipment and installation together, aiming to make the move to home solar simpler. The company operates in Germany’s B2C energy market and hires across a workforce of 1,001–5,000 employees.
Data & Analytics Manager, Berlin (Hybrid)
Lead Enpal’s international BI and analytics teams and build trusted, governed data products. Shape dbt models and AI-ready analytics for a solar energy business.
Tavsif
- Lead and develop Enpal’s international BI and data analytics team across EMEA.
- Create a team culture built on motivation, accountability, and constructive change.
- Build clean, documented dbt datasets, from staging layers through marts.
- Manage data tests, documentation, metric definitions, contracts, and version control.
- Create a semantic layer with governed metrics and dimensions.
- Promote dbt best practices and prepare models and documentation for AI-powered analytics.
- Find source data and reconciliation issues, then establish a reliable single source of truth.
- Support data migrations, ELT pipelines, and consolidation of the data platform.
- Improve Snowflake performance, data freshness, and data quality.
- Strengthen processes that keep the data platform dependable.
- Use Python to run data checks and build automation and utilities.
- Work with BI and business teams on certified datasets, self-service standards, and complete reporting solutions.
- Turn business needs into scalable data products and governed metrics.
- Convert business priorities into project plans, weigh risks and trade-offs, remove blockers, and deliver work to completion.
- Coach the team in analytics engineering practices, modern tools, and AI-assisted development.
Talablar
- At least 3 years of experience in analytics engineering, BI development, data engineering, or a related field
- At least 1 year of people or team leadership experience
- Expert-level SQL skills
- Strong data modeling and architecture skills, including star schemas, semantic layers, governed metrics, data contracts, and ELT pipelines
- Practical experience building production dbt projects, including staging-to-mart layers, tests, documentation, ownership, and version control
- Experience with Snowflake, including query tuning, data freshness, and quality monitoring
- Python skills for data checks, automation, and utilities
- Experience with data quality and operations, including testing, monitoring, source reconciliation, CI/CD, data catalogs, and cost and performance tuning
- Experience building dbt models and documentation, AI-ready data products, and using AI-assisted development tools
- Experience delivering certified datasets, self-service standards, and end-to-end BI and reporting solutions
- Strong stakeholder management and communication skills
- A practical, entrepreneurial approach to problem-solving
- A motivating leadership style, appetite for change, and confidence in challenging assumptions and making decisions
- German language skills are a plus, but not required
- Willingness to work in Berlin or relocate there
- Authorization to work in Germany
Imtiyozlar
- Hybrid working arrangement
- Option to work abroad for up to 30 days per year, depending on role responsibilities
- Modern Berlin-Friedrichshain office with height-adjustable desks, table tennis, stocked beverage fridges, and barista coffee
- Welcome bag and buddy program as part of onboarding
- Open feedback culture, transparent all-hands meetings, and short decision-making processes
- Team events
- 29 vacation days plus 2 additional days
- Discounted Wellhub membership
- Corporate discounts
- Diverse and inclusive workplace
- Chance to contribute to the solar energy transition at Germany’s first green unicorn