we are laying the groundwork for new business models for the energy transition.

About the Role

Our central data platform is the foundation that Analytics Engineering, BI and increasingly AI-enabled business teams build on top of. You’ll join the team of two Data Engineers, where you’ll define how we build. As a Staff Data Engineer, you build for other engineers rather than for end users or dashboards: you own the technical decisions, pipelines, integrations, tooling and guardrails that let others ship data products safely and fast. You'll work at the intersection of dbt, Snowflake, Airflow orchestration and infrastructure-as-code on Azure – hands-on, while also setting the technical direction for where the platform goes next, building best practices, vision and roadmap.

Our data arrives from metering devices, operational and legacy systems, external partners and APIs. You own the ingestion and orchestration layer that collects, reshapes and delivers it, including the critical paths the business cannot operate without. You'll drive design decisions and reviews directly with stakeholders across the business domains, set the standards others build on, and turn ambiguous requirements into implementable designs.

What You'll Do

• Design, build and operate scalable pipelines end to end - from source integration through dbt models on Snowflake, orchestrated with Airflow on Azure.
• Own the integration layer. Connect the platform to heterogeneous source systems - operational databases, external partners, APIs - and make those integrations observable, and resilient.
• Build self-service scaffolding and developer tooling so domain teams can create models, sources, and tests without touching platform internals.
• Drive the platform vision. Define where our data platform needs to go - tooling, abstractions, self-service, guardrails - and break that direction into increments that land in production. Act as the technical authority for data platform architecture and set the patterns for other engineers to follow.
• Manage infrastructure as code with Terraform, keeping environments reproducible and reviewable. Collaborate closely with the platform team to align deployment policies and CI/CD setup.
• 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 We're Looking For

• 6+ years of data engineering experience; you have owned production-critical data platforms.
• Deep, hands-on dbt experience at scale (especially operating the platform around data modelling).
• Solid Snowflake knowledge: RBAC, performance, and warehouse management.
• Comfort with IaC (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 a platform-as-product mindset.
• 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.
• Streaming experience (Kafka or similar) and work with PostgreSQL.
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