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Make real-world impact at scale by building cloud-native, real-time data platforms that power Eneco’s IoT products and directly help millions of customers use energy more sustainably.
Own end-to-end technical decisions across streaming, APIs, and cloud infrastructure, working with modern stacks like Databricks, Spark, Scala, and Kubernetes in a highly autonomous engineering role.
Grow with a collaborative, future-focused team where Data Engineers, ML Engineers, and Product work closely together to innovate, learn, and shape the next generation of smart energy solutions.
The One Planet strategy we are committed to here at Eneco sets an ambitious goal to be climate neutral by 2035. We want to achieve that goal for both us and our clients. To make it happen, we are dedicated to offering our customers innovative digital capabilities and smart solutions. Our Digital Core team is working towards creating an exceptional online customer experience, through modernizing the Eneco chat, app and web environments. We are striving to deliver a superior digital customer experience that will stimulate and make it easier for our customers to become greener every day.
As a Data Engineer, you will play a crucial role in setting up and leading technical decisions for our cloud-based data platform. We are specifically looking for someone that will contribute to a combination of Cloud Infrastructure setup, maintain API server, and develop streaming / batch Data processing pipeline. You will be working on an exciting IOT product (smart thermostat, energy insight, smart charging) for our consumers.
Must Have:
Nice to Have:
You will be working together with other Data Engineer, Machine Learning Engineers, Data Scientists and Data Analysts. Together, you will shape IOT products that will transform how our consumers use their energy. Within the team, we encourage learning, actively seek out collaboration, celebrate successes, and learn from failures.






Contact our recruiter: [email protected]


