Lead Analytics Engineer (f/m/d)_metrify
Enpal - Berlin, Germany
Posted May 26, 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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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
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
Lead Analytics Engineer (f/m/d)_metrify 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. metrify is Enpal's smart metering unit and the digital infrastructure for a smart energy ecosystem. With tens of thousands of iMSys units installed and scalable processes, we make energy measurable, controllable, and economically viable-and, together with our partners, we are laying the groundwork for new business models for the energy transition. What you'll do - Balancing hands-on engineering with a big-picture vision to drive a scalable, future-proof data ecosystem. - Acting as the central point of contact and technical lead across multiple sub-teams and projects, guiding them toward aligned, optimal solutions. - Designing and scaling dbt data models to improve efficiency and support growing business requirements. - Building and enhancing ETL/ELT pipelines and data workflows aligned with business goals using modern data stack tools (e.g. SQL, Python, cloud data platforms). - Translating business requirements into robust data models and actionable insights in close collaboration with stakeholders. - Driving prioritization and roadmap planning, leading sprint execution and delivery coordination to ensure alignment with business priorities. - Mentoring
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