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Senior Analytics Engineer (f/m/x) - Enpal Energy

Enpal - Berlin, Germany

Posted Apr 28, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • 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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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.

Role

Role function
Data From the posting source
Seniority
Senior From the posting source

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
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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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