Enpal

Staff Data Engineer (f/m/d)_metrify

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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.

Metrify is Enpal’s smart metering unit and the digital infrastructure for a smart energy ecosystem. With tens of thousands of iMSys units installed and scalable processes, we make energy measurable, controllable, and economically viable—and, together with our partners, 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.
 
Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential—regardless of whether your experience meets every single requirement. ☀️

 
What we offer
Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.

The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.

The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.

Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.

Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.

Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.

The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.

Your extra boost - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.

At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT API integration Data Analysis Human Resources MySQL Python Mid level

Likely questions

  1. Tell us about work you have done that is close to the Staff Data Engineer (f/m/d)_metrify role.
  2. How would you approach your first 30 days at Enpal?
  3. Which of API integration, Data Analysis and Human Resources have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and Human Resources.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Staff Data Engineer (f/m/d)_metrify role because I can bring practical experience in API integration, Data Analysis and Human Resources, learn the team quickly, and contribute to the outcomes Enpal needs from this hire.

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