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Enpal is Germany's first green unicorn, building an integrated platform for decentralized energy solutions—solar systems, battery storage, wall boxes, smart meters, and heat pumps. Metrify is Enpal's smart metering unit and digital infrastructure for a smart energy ecosystem, with tens of thousands of units installed.
You will join a two-person Data Engineering team as a Staff Data Engineer, owning the technical decisions, pipelines, integrations, tooling, and guardrails that enable Analytics Engineering, BI, and AI-enabled business teams to ship data products safely and fast. This is a platform-as-product role where you build for other engineers, not end users.
Key Responsibilities:
- Design, build, and operate scalable end-to-end data pipelines: from source integration through dbt models on Snowflake, orchestrated with Airflow on Azure.
- Own the integration layer connecting heterogeneous source systems (operational databases, external partners, APIs) with observable and resilient integrations.
- Build self-service scaffolding and developer tooling enabling domain teams to create models, sources, and tests independently.
- Drive the platform vision: define tooling, abstractions, self-service capabilities, and guardrails; break direction into production-ready increments.
- Manage infrastructure as code with Terraform, ensuring reproducible and reviewable environments; collaborate on deployment policies and CI/CD.
- Enforce federated governance through data contracts, RBAC via Snowflake database roles, and domain ownership boundaries.
- Support data privacy and compliance, including metadata-driven PII handling and GDPR/DSGVO requirements.
- Build observability and testing into the platform to catch failures before they reach domain teams.
- Partner with Analytics Engineering and BI leads to gather requirements, review designs, document patterns, and lower barriers to entry.
The role operates in a hybrid model with flexibility to work in Berlin-Friedrichshain or remotely as needed. Enpal offers Workflex, allowing relocation abroad for up to 30 days annually.
Requirements:
- 6+ years of data engineering experience with ownership of production-critical data platforms.
- Deep, hands-on dbt experience at scale, especially operating platforms around data modeling.
- Solid Snowflake knowledge: RBAC, performance, and warehouse management.
- Comfort with Infrastructure as Code (Terraform) and GitOps (ArgoCD).
- Experience with orchestration (Airflow) and containerized workloads (Kubernetes/AKS).
- Familiarity with modern ingestion frameworks (dlt or similar).
- Software engineering fundamentals: confident Python and advanced SQL, testing, reusable libraries, and platform-as-product mindset.
- Excellent communication and stakeholder empathy; ability to enable other engineers and navigate ambiguity in cross-domain environments.
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.
- Streaming experience (Kafka or similar) and PostgreSQL work.
