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

Berlin💼 Full-time🗓 2026-08-06 → 2026-09-26

Core

Build and govern the semantic layer and data models for Enpal's AI-powered energy platform, serving downstream AI tools and business stakeholders.

Role type

Senior Analytics Engineer

Builds

Production-grade dbt models, governed business metrics, and data contracts for AI and BI tools

Domain

Renewable energy / Decentralized energy systems / AI-powered analytics

Deliverable

production ML models | product features

Required skills

dbt, SQL, data modeling (star schemas), Python, Snowflake, CI/CD for analytics, semantic layer design

Preferred skills

AI-assisted development, ELT concepts, data cataloging, cost/performance tuning, Tableau integrations

Responsibilities

Model clean datasets in dbt with tests and documentation; Lead semantic layer development; Diagnose and reconcile source data inconsistencies; Optimize Snowflake query performance; Partner with BI teams on self-service standards; Develop end-to-end reporting pipelines; Mentor team on analytics best practices

Seniority

Senior, hands-on IC

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About Enpal

Enpal is transforming its ERP landscape from a traditional D365 F&O setup into an Agentic Enterprise, a clean D365 core with an AI-native execution layer on top. AI-native product squads, organized by E2E process domain (D2O, O2C, P2P, SCE, R2R, MDG), replace traditional workstream towers. Each squad includes a Business Intent Owner (BIO), a Technology Orchestrator, Context Engineers, and Harness Engineers. This role sits in the Finance (R2R, O2C, MDG) squad and is a core contributor to building the agentic operating model that will power Enpal at scale.