Enode

2 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Senior data engineer responsible for owning Enode's data platform, delivering reliable data pipelines for Flex forecasting and analytics, ensuring data quality, and enabling self-serve analytics in a small, autonomous team.

Location: Oslo

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkEquityHome Office

Key Requirements

•Strong data engineering background: built or evolved data pipelines/platforms in production, ideally across multiple stages of a startup or scale-up.
•Pragmatic platform mindset: ability to improve the platform while delivering, prioritising delivery over long platform rewrites.
•Ownership & proactivity: identify what matters, push work forward, operate with high autonomy and limited oversight.
•Solid SQL + data modelling skills: design datasets that are accurate, maintainable, and useful for analytics/modelling.
•Reliability instincts: focus on monitoring, data quality, testing, and operational excellence.

Skills:SQLData modellingDbtSnowflakeAirbyteBIData pipelines

Tech Stack:DbtSnowflakeAirbyteBISQL

Company Brief

Enode

Provides APIs and developer tools to connect electric vehicles, chargers, batteries, and smart home devices to energy systems, enabling energy companies and apps to manage distributed energy resources and build customer-facing energy services.

Industry: API Platforms

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Oslo, Norway

Founded: 2018

Website LinkedIn

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Enode

2 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Oslo

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkEquityHome Office

Key Requirements

•Strong data engineering background: built or evolved data pipelines/platforms in production, ideally across multiple stages of a startup or scale-up.
•Pragmatic platform mindset: ability to improve the platform while delivering, prioritising delivery over long platform rewrites.
•Ownership & proactivity: identify what matters, push work forward, operate with high autonomy and limited oversight.
•Solid SQL + data modelling skills: design datasets that are accurate, maintainable, and useful for analytics/modelling.
•Reliability instincts: focus on monitoring, data quality, testing, and operational excellence.

Skills:SQLData modellingDbtSnowflakeAirbyteBIData pipelines

Tech Stack:DbtSnowflakeAirbyteBISQL

Company Brief

Enode

Industry: API Platforms

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Oslo, Norway

Founded: 2018

Website LinkedIn