Full-Stack Data Engineer Energy Management

At Eneco, you can 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. You will 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.

• Setting up projects and leading technical decisions involving real time time-series data in Databricks (scala) environments.
• Empowering other departments by making data accessible and usable, driving Eneco’s digital innovations forward.
• Design and implement cloud solutions to handle product requirements.
• Shape the product by providing technical advice to the product manager or other team.
• Ensuring our solutions are robust, scalable, cost efficient and ready to meet future challenges.

• Previous experience of REST API development (e.g. Spring or FastAPI).
• Understanding of streaming data ingestion and processing.
• Previous experience working with MPP data platforms such as Spark. Working experience using Databricks and Unity Catalog is a plus.
• Proficiency in programming languages (Java, Scala, and Python).
• Knowledge of software engineering best practices: code reviews, version control, testing, and CI/CD.
• Genuine interest in DevOps/SRE principles for production deployment.

• FlexBudget – have it paid out, use it to buy extra holiday days or save it up for something nice, it's up to you.
• Personal and professional growth – Eneco is fully committed to help you in your personal and professional development.
• Hybrid working: home, office or abroad – work 40% at the office, 40% from home, and 20% flexibly.