Today it's absorbing intermittent supply from grid scale solar and wind, alongside dynamic demand from EVs, heat pumps, and home batteries. The missing piece is software that can connect and orchestrate these devices at scale. We work with device manufacturers across the energy hardware ecosystem
- from EV brands to heat pump and solar inverter producers. 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. You'll be working to drive Flex delivery and the next iteration of Enode's data platform. You'll collaborate closely with other engineers in our product teams, but also commercial teams and leadership to facilitate access to data and insights. You'll have outsized impact: this is lean team, so your decisions and execution will shape how data work gets done across the company. Deliver Flex-critical data needs: build and maintain reliable pipelines and datasets that enable Flex models (e.g., 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., 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). 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'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. Strong data engineering background: you've built or evolved data pipelines/platforms in production, ideally across multiple stages of a startup or scale-up. 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. Familiarity with parts of the modern data stack: dbt, data warehousing ELT tools (Snowflake, Airbyte), and BI tools. Experience supporting forecasting & time-series use cases (or high-volume event data). Experience designing data access, governance, and cost-aware warehouse usage in a growing org. Strong interest in AI, with evidence of experimenting (LLM-assisted workflows, automation, evaluation, etc.). Opportunity to join and impact an early-stage climate tech startup with integral aspirations as we scale. Remote-first in Europe, with the option of attending an office in Oslo or receiving a co-working pass on demand. Stipend for setting up your home office. -----------------------------------------------------------------------------------------
- Our values are integral to the way we work and are embedded into all our hiring processes.

📌 Senior Engineer, Data Engineering (España)
🏢 Enode
📍 España