Data Engineer; Agro Energy

Position: Data Engineer (Agro Energy)
Eneco is one of Europe's leading sustainable energy companies, working toward climate neutrality by 2035. Our One Planet strategy - committed to electrification and the elimination of fossil fuels - is one of the most ambitious sustainability commitments in the sector. Agro Energy sits at an unusually direct intersection of data and real-world impact. Dutch greenhouse horticulture is one of the most energy-intensive sectors in the Netherlands, operating in an increasingly complex and volatile energy market.

Agro Energy's ambition is clear: to be the best electricity supplier and a complete, strategic energy partner for its clients - delivering smart, innovative solutions to complex energy challenges. The data platform you build is what makes that ambition operational. This is not data as a support function - it is data as the product. As an Experienced Data Engineer in the Agro Energy team, you combine deep hands-on data engineering with technical leadership.

You design, build, and improve cloud-native data solutions in Azure - powering predictive models and a self-built dimensional data warehouse that supports energy optimization and trading decisions for agricultural clients and B2B Flex Services. You take a leading role in defining the technical direction of the data platform: identifying debt, shaping improvement initiatives, setting architecture and engineering standards, and mentoring the engineers around you.

The coming period brings a concrete set of technical challenges - expanding forecasting models, introducing AI tooling, migrating toward Snowflake, and aligning the Azure landscape with Eneco's new security and compliance framework. This is a role for someone who wants to be deeply involved in the technology and trusted to raise the bar for the whole team. Designing, building, and maintaining end-to-end data pipelines - from ingestion through transformation to structured exposure Developing and maintaining predictive data flows that support forecasting and energy optimization use cases - including expanding EPEX (European Power Exchange) day-ahead market forecasting from hourly to quarter-hourly resolution without compromising model performance Building and optimizing a dimensional data warehouse used for analytics and Power BI reporting Creating and maintaining an architecture overview for the data platform - covering key components, integrations, dependencies, and data flows Defining and communicating the technical direction for data architecture, engineering standards, and platform modernization - together with the team and stakeholders Leading the migration and integration of platform components toward Snowflake, including One Lake with Iceberg tables Driving alignment of the Azure landscape with Eneco's Azure Policy Framework to ensure ongoing compliance with NIS2 and current security and compliance standards Introducing and embedding AI-assisted tooling to accelerate and simplify data transformations in C# Identifying technical debt and translating it into concrete improvement plans and initiatives Providing technical guidance, peer coaching, and mentorship to other data engineers in the team Implementing CI/CD (Continuous Integration/Continuous Delivery) pipelines for data workflows, including testing, validation, and deployment Applying Infrastructure as Code (IaC) for Azure resource deployments Ensuring monitoring, incident analysis, and operational reliability of data pipelines Collaborating closely with testers, business analysts, product owners, and stakeholders across the Agro Energy and B2B Flex Services value chains You are equally comfortable working alone in the code as you are in the daily rhythm of a scrum team — pair reviewing, joining refinement, keeping the team moving.

The best solutions here come from the group, and you know that.

You are a data engineer with enough depth to own the architecture and enough pragmatism to get your hands dirty. You like working close to the business - understanding what a forecasting model actually needs, or why a particular data flow matters to an energy trader - and you translate that understanding into technical solutions that hold up in production. You are comfortable setting direction and comfortable writing the code that proves it.

You stay current: AI-assisted development, modern lakehouse patterns, and evolving cloud compliance standards are not abstract concepts to you - they are part of how you work. Must have Strong data engineering…