[Hiring] Senior Data Engineer @Enode

Role Description

We're hiring a Senior Data Engineer (with an interest in working with data science) to own and evolve Enode's data platform while partnering on our Flex product's forecasting and analytics needs. You'll help us scale from "it works" to "it works reliably as we grow", ensuring the right data is available, trustworthy, and usable across Flex delivery, billing, customer insights, and leadership reporting.

In this role, you will:

• Deliver Flex-critical data needs: build and maintain reliable pipelines and datasets that enable Flex models (e.g., demand/availability signals, aggregations, monitoring).
• Evolve the data platform: assess what we have today and drive pragmatic improvements in architecture, tooling, and operating practices—setting the direction for how the platform matures.
• Own data quality and trust: implement testing, lineage/definitions, and guardrails (e.g., dbt tests, anomaly detection, freshness checks) so stakeholders can trust outputs.
• Enable self-serve analytics: produce well modelled datasets and documentation that make it easy for others to answer questions without bespoke work.
• Partner on data science work: collaborate on data readiness for modelling, feature pipelines, evaluation workflows, and productionisation concerns (even if you're not the primary model builder).
• Make high-leverage tech choices: propose and justify changes (or non-changes) to tools and processes, bringing the experience to know when to build, when to buy, and when to leave well alone.

Qualifications

• Strong data engineering background: you've built or evolved data pipelines/platforms in production, ideally across multiple stages of a startup or scale-up.
• Pragmatic platform mindset: you can "improve the plane while flying" - make incremental improvements, manage trade-offs, and prioritise delivery over long platform rewrites.
• Ownership & proactivity: you identify what matters, push work forward, and operate effectively with high autonomy and limited oversight.
• Solid SQL + data modelling skills: comfortable designing datasets that are accurate, maintainable, and useful for analytics/modelling.
• Reliability instincts: you care about monitoring, data quality, testing, and operational excellence.
• Clear communication: you can collaborate with engineers, product, and business stakeholders, and translate needs into concrete data work.

Requirements

• You're a senior data engineer who likes shipping product outcomes, or a data scientist with strong engineering instincts who gets satisfaction from making pipelines stable, data trustworthy, and platforms scalable.
• You enjoy working close to real problems, messy upstream inputs, ambiguous requirements, and high-stakes delivery. You can zoom in (fix a broken pipeline, optimize a model feature dataset) and zoom out (define what the platform should look like in 6–12 months).
• You're comfortable leading the data function in a small team: you bring structure, set priorities, and drive execution without needing heavy process. You've done this before, you know what good looks like, and you're energised by the autonomy to build it.
• You're also excited about AI as a tool—whether that's using it to speed up development, improve data quality workflows, or explore new ways of building and maintaining data products.

Benefits

• Opportunity to join and impact an early-stage climate tech startup with global aspirations as we scale.
• A mission-driven, fun and caring environment with high drive and ambition.
• Competitive compensation, including a very attractive employee option program - you’re part of our journey.
• Remote-first in Europe, with the option of attending an office in Oslo or receiving a co-working pass on demand.
• Three annual off-sites to connect with the team in exciting & fun places.
• Flexible, human-first culture.
• Stipend for setting up your home office.