Enode

Data Engineer

• 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.

Senior Data Engineer