Full-Stack Data Engineer
Role details
Job location
Tech stack
Job description
At Eneco, we believe in building a better future, not just for the energy sector, but for the planet. With our One Planet strategy, we are committed to climate neutrality, electrification, and the elimination of fossil fuels, one of the most ambitious sustainability strategies in Europe.
Within Eneco's B2B domain, AgroEnergy plays a crucial role in helping Dutch greenhouse horticulture businesses optimize their energy usage in an increasingly complex and volatile energy market. This role is part of a broader insourcing initiative, where critical data and technology capabilities are being brought back in-house to strengthen long-term ownership, quality, and impact.
Here, data is not a support function - it directly drives smarter decisions, predictive insights, and tangible sustainability outcomes.
As a Senior Data Engineer, you combine hands-on data engineering with technical leadership. You actively build and improve data pipelines while also shaping the technical direction of the team.
You work on cloud-native data solutions in Azure that power predictive models and a self-built data warehouse, supporting energy optimization and trading decisions for agricultural clients. You take a leading role in identifying technical debt, defining improvement initiatives, and ensuring the team's data platform remains scalable, reliable, and future-proof.
This is a role for someone who enjoys being deeply involved in the technology, while also guiding others and raising the overall technical maturity of the team.
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Designing, building, and maintaining end-to-end data pipelines, from ingestion to structured exposure
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Developing and maintaining predictive data flows that support forecasting and optimization use cases
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Developing and maintaining data-related components in C#, applying object-oriented design principles
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Building and optimizing a dimensional data warehouse used for analytics and Power BI reporting
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Identifying technical debt and translating it into concrete improvement plans and initiatives
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Providing technical guidance, peer coaching, and mentorship to other data engineers
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Implementing CI/CD pipelines for data workflows, including testing, validation, and deployment
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Applying Infrastructure as Code (IaC) for Azure resource deployments
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Ensuring monitoring, incident analysis, and operational reliability of data pipelines
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Collaborating closely with testers, business analysts, product owners, and other stakeholders within the AgroEnergy value chain
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Proven experience designing, building, and maintaining end-to-end data pipelines (from ingestion to structured exposure) using Azure Data Factory
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Experience building and optimizing dimension-fact models
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Proficiency in C# in a production environment. Or proficient in another object orientated language and willing to learn C#.
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Solid understanding and practical application of object-oriented programming (OOP) principles
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Experience with CI/CD pipelines for data workflows, including testing and deployment
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Experience with Infrastructure as Code (IaC)
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Experience with monitoring, incident analysis, and operational reliability of data platforms
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Experience identifying technical debt and translating it into concrete improvement initiatives
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Strong collaboration skills across engineering, testing, and business stakeholders
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Experience mentoring or coaching engineers in a senior or lead role
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Ability to take technical ownership and guide less experienced engineers
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Basic knowledge of the Dutch language
You'll join Eneco's Digital & Tech domain, working as part of a dedicated value-chain team embedded within the AgroEnergy business. The team consists of data engineers and a test engineer, with you being the only senior-level data engineer - playing a key role in mentoring the team and setting technical direction.
You'll collaborate closely with business stakeholders from the AgroEnergy product team, ensuring data solutions are directly aligned with real-world energy optimization challenges. The team works with modern Azure-based technologies in a culture that values ownership, knowledge sharing, and continuous improvement.
Eneco offers flexible hybrid working, with Rotterdam as the home base, and the autonomy to shape how and where you deliver the most impact.
Please submit your application through our career website.
- Be at the forefront of building scalable data products and infrastructure that drive business success and transformation in the industry
- Work in a collaborative organisation that values innovation and adaptability.
- Unlock your potential with advanced training and development opportunities.
Requirements
- Proven experience designing, building, and maintaining end-to-end data pipelines (from ingestion to structured exposure) using Azure Data Factory
- Experience building and optimizing dimension-fact models
- Proficiency in C# in a production environment. Or proficient in another object orientated language and willing to learn C#.
- Solid understanding and practical application of object-oriented programming (OOP) principles
- Experience with CI/CD pipelines for data workflows, including testing and deployment
- Experience with Infrastructure as Code (IaC)
- Experience with monitoring, incident analysis, and operational reliability of data platforms
- Experience identifying technical debt and translating it into concrete improvement initiatives
- Strong collaboration skills across engineering, testing, and business stakeholders
- Experience mentoring or coaching engineers in a senior or lead role
- Ability to take technical ownership and guide less experienced engineers
- Basic knowledge of the Dutch language