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

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. Lead the development and evolution of our semantic layer - defining governed business metrics, dimensions, and data contracts that serve as the single source of truth to downstream AI tools. Structure dbt models, metric definitions, and documentation so they are machine-readable and ready to serve as reliable context for AI-powered analytics tools. 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. Develop reporting end-to-end — from understanding business needs to delivering actionable, intuitive data products. Maintain and evolve central data pipelines, dbt models, and Tableau integrations within a modern stack (Python, AWS/Azure/GCP, Git). Act as a technical mentor for the team, helping others adopt best practices in analytics engineering and embrace new tooling - including AI-assisted development. What you'll bring 3+ years of experience as an Analytics Engineer, BI Developer, or Data Engineer. Proven record of turning complex, large-scale data into actionable insights and governed metrics used across BI. Expert in SQL and data modeling (star schemas, dimensions/facts, semantic layer design). Hands-on experience building production-grade dbt projects with testing, documentation, and version control workflows. Strong proficiency in Python for analytics tasks (data checks, automation, utilities). Strong stakeholder management and communication skills — able to translate business logic into durable, scalable data models. Familiarity with ELT concepts, CI/CD for analytics code, data cataloging, and basic cost/performance tunin