Enpal
Climate Tech
LeadAnalyticsEngineer(f/m/d)
Neural analysis suggests this role is
optimal for Lead candidates.
“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.
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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