Senior Analytics Engineer (f/m/x) - Enpal Energy
Enpal - Berlin, Germany
Posted Apr 28, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Analytics Engineer (f/m/x) - Enpal Energy Berlin, Germany Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy-from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One +, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market. Enpal Energy is Enpal's electricity division, making clean energy accessible to every household-from Germany's most affordable electricity rates to smart energy solutions that optimally integrate generation, storage, and consumption. With ambitious growth targets and a rapidly expanding customer base, we are building a team that is actively shaping the German energy market. In doing so, we combine startup agility with the scale of a market leader-across all areas, from operations and technology to finance, customer support, and product development. What you'll do - Model clean, well-documented datasets in dbt (staging → marts), including tests, ownership, and clear metric definitions. - Translate complex business processes into standardized definitions and a semantic layer used across Tableau and Power BI. - Diagnose messy or ambiguous source data, reconcile inconsistencies, and align stakeholders on a single source of truth. - Optimize Snowflake query performance, data freshness, and quality through testing and monitoring. - Partner with BI and business teams to design certified datasets, dashboards, and self-service standards.
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