Full-Stack Data Engineer

Join a purpose-driven team where your data engineering expertise directly accelerates Eneco’s mission to become the first CO₂-neutral energy company by 2035.

• Work with cutting-edge cloud technologies and diverse data sources—from smart meters to wind turbines—to build impactful, scalable data solutions from the ground up.
• Grow in a collaborative environment that values continuous learning, shared ownership, and technical excellence while shaping the future of data-driven innovation.

Why choose Eneco?

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.

What you’ll do

As a Full Stack 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 who will contribute to a combination of cloud infrastructure setup, API server maintenance, and development of streaming and batch data processing pipelines. You will be working on exciting IoT products for our consumers, including smart thermostats, energy insights, and smart charging.

Is this about you?

Must Have:

• 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.

Nice to Have:

• Working experience with high volume time series data.
• Knowledge of data modeling and architecture patterns.
• Experience deploying applications to Kubernetes, with skills in monitoring (Grafana) and debugging.
• Knowledge of cloud providers (e.g. AWS). Infrastructure as code (IaC) is a plus.
• Experience with NoSQL databases (e.g. DynamoDB) and RDBMS (e.g. Postgres).
• Proficiency in SQL and DBT (Data Build Tool) with Snowflake.
• Familiarity or interest with MLOps and data science techniques.

You’ll be responsible for

• 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.
• Designing and implementing cloud solutions to handle product requirements.
• Shaping the product by providing technical advice to the product manager and other teams.
• Ensuring our solutions are robust, scalable, cost efficient and ready to meet future challenges.

This is where you’ll work

You will be working together with other Data Engineers, 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.

What we have to offer

FlexBudget

Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing. 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. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year, max 2 consecutively.