Designs, builds, and optimizes cloud-based data platforms and pipelines at energy company Eneco, making data from sources like smart meters and wind turbines accessible to ML engineers, data scientists, and analysts. Core stack includes Python, SQL, Databricks, Snowflake, dbt, Airflow, Kubernetes, and Azure, with hybrid (40/40/20) working.
Join to apply for the Full-Stack Data Engineer role at Eneco Ventures
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?
At Eneco, we’re driving the energy transition forward with our “One Planet plan” and striving to become the first CO₂-neutral energy company by 2035. Data plays a central role in helping us reach these ambitious objectives. As a Data Engineer, you’ll work alongside colleagues from diverse business areas, including Machine Learning Engineers, Data Scientists, and Data Analysts, in an environment that values collaboration and continuous learning.
What you’ll do
Play a leading role in architecting, developing, and optimizing our cloud-based data platforms and pipelines.
Collaborate closely with engineers, analysts, and stakeholders to deliver robust, scalable, and innovative data solutions.
Take ownership of complex technical challenges, continuously improve our data infrastructure, and help ensure Eneco’s data capabilities remain at the forefront of the energy sector.
Is this about you?
5+ years of experience as a Data or Software Engineer.
Proficiency in ETL/ELT, orchestration, warehousing, monitoring and alerting, system design and architecture, data modeling, governance, quality, access control, and documentation.
Strong software engineering best practices: code reviews, version control, CI/CD, incident management, and DevOps principles.
Experience with distributed data processing frameworks (e.G., Spark, Beam, Flink, Kafka), SQL and NoSQL databases.
Hands‑on experience with Databricks, Snowflake, dbt, Airflow, Kubernetes, and cloud deployments (preferably Azure).
Advanced proficiency in Python and SQL.
Experience with dashboarding tools (e.G., Power BI, Grafana).
You’ll be responsible for
Supporting Machine Learning Engineers, Data Scientists, and Data Analysts by preparing and making high‑quality data easily accessible.
Collaborating with stakeholders to gather and discuss project requirements.
Architecting, designing and implementing data platforms and solutions to efficiently handle, store, process, and utilize data from various sources.
Deploying, monitoring, and managing pipelines and applications in production.
Writing well‑documented code and reviewing code from colleagues.
Providing technical guidance and mentoring to other engineers.
What we have to offer
Gross annual salary between €82,000 and €115,000.
FlexBudget, 8 % holiday allowance, and a bonus or collective profit sharing depending on your role.
Hybrid working: 40 % office, 40 % home, and 20 % flexible;
up to 3 weeks abroad per year.
Personal and professional growth opportunities.
Work that works for you and the climate.
Application Procedure
Contact our recruiter: Phone:. Feel free to send your CV and motivation letter. We’ll review your application and get back to you as soon as possible.