Data Engineer (f/m/x)

Data Engineer (f/m/x)

2.82.8 von 5 Sternen

Berlin

Hybrides Arbeiten

Link: (CompanyWebsite)

Mitarbeiteranzahl: 51 bis 200 (CompanyEmployee)

Branche: Energie- & Versorgungswirtschaft (CompanyIndustry)

Stellenbeschreibung

Anstellungsart

Vollzeit

Arbeitsort

Berlin

Leistungen

Aus der vollständigen Stellenbeschreibung

Firmenevents

Vollständige Stellenbeschreibung

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.

Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy.

About the Role

Our central Data Platform team builds the paved road that domain Analytics Engineering and BI teams build on top of within our data mesh. As a Data Platform Engineer, your customers are developers, not dashboards: you own the tooling, abstractions, and guardrails that let 55+ AE/BI engineers embedded across domains ship dbt models safely and fast across a ~2,500-model monorepo. Youll work at the intersection of dbt, Snowflake, orchestration, and infrastructure-as-code, and youll spend as much time unblocking and enabling others as you do writing code.

What Youll Do

Own and evolve our dbt platform: macros, packages, project structure, selective/state-aware runs, and CI gating across a large monorepo.

Build self-service scaffolding and developer tooling so domain teams can create models, sources, and tests without touching platform internals.

Manage infrastructure as code with Terraform and ArgoCD (GitOps), keeping environments reproducible and reviewable.

Enforce federated governance: data contracts, RBAC via Snowflake database roles, and domain ownership boundaries.

Support data privacy and compliance requirements, including metadata-driven PII handling.

Build observability and testing into the platform so failures are caught before they reach domain teams.

Partner with AE/BI leads to gather requirements, review designs, document patterns, and continuously lower the barrier to entry.

What Were Looking For

Strong software engineering fundamentals: Python, testing, reusable libraries, and a platform-as-product mindset.

Deep, hands-on dbt experience at scale (not just authoring models, but operating the platform around them).

Solid Snowflake knowledge: RBAC, performance, and warehouse management.

Experience with orchestration (Airflow) and containerized workloads (Kubernetes/AKS).

Comfort with IaC (Terraform) and GitOps (ArgoCD).

Familiarity with modern ingestion frameworks (dlt or similar).

Excellent communication and stakeholder empathy; you enjoy enabling other engineers and can navigate ambiguity in a cross-domain mesh.

Nice to Have

Experience building internal developer platforms or paved-road tooling.

Knowledge of data contracts and federated data governance.

GDPR/DSGVO-aware data handling experience.

Exposure to Snowflake Iceberg/REST catalogs or dbt Fusion.

Are you interested even if you dont meet all the requirements? Apply anyway! We look forward to discovering your potential—regardless of whether your experience meets every single requirement.