Enpal

Climate Tech

LeadAnalyticsEngineer(f/m/d)

€85–115k ~AI est. Berlin, Germany FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Analytics Engineer (f/m/d) at Enpal. Skills: Data ecosystem, Dbt data models, ETL/ELT pipelines, Data models. Drive scalable data ecosystem. Act as technical lead”

Industry & Context.

Climate Tech
Problems you'll solve

Transforming datasets

What They're Looking For.

Must Have

7+ years experience, Expertise in SQL, Expertise in data modeling, Hands-on dbt models experience, Design and optimize ETL/ELT pipelines, Experience with Power BI

Nice to Have

Python skills a plus, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification

What You'll Do.

Drive scalable data ecosystem

Act as technical lead

Design dbt data models

Build ETL/ELT pipelines

Enhance data workflows

Translate business requirements

Lead sprint execution

Guide team development

Monitor data pipelines

Optimize data pipelines

Evolve analytical systems

How You'll Work.

Team & Collaboration

Across sub-teams; With stakeholders; Cross-functional teams

Communication Scope

Stakeholder collaboration

Process & Methodology

Roadmap planning, Sprint execution, Delivery coordination

Full Job Description

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 http://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 and guiding a team, fostering professional development, collaboration, and a growth-oriented environment while aligning team goals with business objectives. - Monitoring, optimizing, and evolving data pipelines and analytical systems to ensure reliability and scalability. WHAT YOU’LL BRING - 7+ years of experience in Data Analy

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