Data Engineer (Agro Energy)
Experienced data engineer on Eneco's AgroEnergy team designs, builds, and leads an Azure-based data platform powering energy forecasting, optimization, and trading for Dutch greenhouse horticulture clients. Day-to-day work spans C# data pipelines, dimensional warehousing, a Snowflake/OneLake migration, CI/CD, and mentoring fellow engineers.
- Compensation
- Not disclosed
- Location
- Netherlands
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong data engineering background in Azure cloud environments, or C# backend development experience with data engineering affinity
- Proficiency in C# (preferred) or equivalent programming languages used in data-intensive environments
- Hands-on experience with Azure Data Factory, Azure Functions, Azure SQL Databases, and Azure DevOps
- Strong SQL skills — write, review, and optimize complex queries
- Dutch language proficiency: reading and listening required; speaking and writing in Dutch or English accepted
- Solid understanding of software engineering best practices: code reviews, version control, testing, CI/CD
- Experience working directly with analysts, data scientists, quantitative specialists, or business-oriented teams
- Ability to balance business understanding with technical execution and set clear technical direction
- Experience contributing to platform migration or modernization initiatives
- Familiarity with data modelling and architecture patterns (dimensional modelling, data vault, or equivalent)
- Experience with Azure monitoring and observability tooling
- Genuine interest in DevOps principles and production-grade deployment practices
Nice to have
- Experience with Snowflake and/or lakehouse patterns such as OneLake with Iceberg tables
- Experience with AI-assisted development tooling in a data engineering or C# context
- Familiarity with energy market data, EPEX trading, or forecasting in a volatile commodity market
- Background in agri-tech or domains where data drives operational or commercial decisions
Full description
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.
AgroEnergy 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. AgroEnergy'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 AgroEnergy 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 OneLake 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