Senior Analytics Engineer – Enpal Energy

Stack

Responsibilities

• ▹Model clean, well-documented datasets in dbt (staging → marts), including tests, ownership and clear metric definitions
• ▹Lead the development and evolution of the semantic layer, defining governed business metrics, dimensions and data contracts that serve as the single source of truth for 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 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, helping the team adopt best practices in analytics engineering and new tooling, including AI-assisted development

Requirements

• ▹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 tuning
• ▹Self-starter with a hands-on, problem-solving mindset, comfortable balancing autonomy and collaboration in a fast-moving environment
• ▹Genuine curiosity about how AI is reshaping the analytics engineering role and willingness to experiment with AI-assisted development tools

Nice to have

• ▹Experience with or strong interest in semantic layer tooling (dbt MetricFlow, Snowflake semantic views or similar)

Soft skills

What we offer

• ▹Hybrid working concept
• ▹Workflex: relocate abroad and work from there for up to 30 days a year, depending on responsibilities
• ▹Modern office in Berlin-Friedrichshain with height-adjustable desks, table tennis, stocked beverage fridges and barista coffee
• ▹Onboarding day with a welcome bag and buddy program
• ▹Transparent all-hands meetings, short decision-making processes and an open feedback culture
• ▹Team events
• ▹29 + 2 vacation days
• ▹Discounted Wellhub membership and corporate benefits
• ▹Diverse team of over 65 nationalities

About the company

Enpal's goal is a solar system on every roof, a storage unit in every house and an electric car in every garage. Its integrated solution spans solar systems and battery storage to wall boxes, smart meters and heat pumps, centered on the AI-powered Enpal.One + platform. Enpal Energy is the company's electricity division, serving a rapidly growing customer base in the German energy market.