Jobid=147045afe620 (0.0297)
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. 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. As a Senior Data Engineer, you will play a leading role in architecting, developing, and optimizing our cloud-based data platforms and pipelines. You will collaborate closely with engineers, analysts, and other stakeholders to deliver robust, scalable, and innovative data solutions, while also mentoring colleagues and guiding technical best practices. In this role, you’ll work with a wide range of data sources, such as customer data, smart meters, wind turbines, weather, markets, and data from internal processes. Your expertise will be key in processing and leveraging this data to generate valuable business insights, create new products and strategies, and drive data-driven innovation across the organization. You will have the opportunity to 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. 5+ years of experience as a Data or Software Engineer. ~ Proficiency in data engineering responsibilities such as ETL/ELT, orchestration, warehousing, monitoring and alerting, system design and architecture; as well as best practices, including data modeling, data governance, data quality, access control, and documentation. ~ Proficiency with software engineering best practices: code reviews, version control, CI/CD, incident management, and DevOps principles. ~ Experience with distributed data processing frameworks (e.G., Hands-on experience with Databricks, Snowflake, dbt, Airflow, and Kubernetes, and cloud deployments (preferably in Azure). ~ Advanced proficiency in Python and SQL ~ Supporting Machine Learning Engineers, Data Scientists, and Data Analysts by preparing and making high-quality data easily accessible. Architecting, designing, and implementing data platforms and solutions to efficiently handle, store, process, and utilize data from various sources, including leading new projects from inception. Deploying, monitoring, and managing pipelines and applications in production. Providing technical guidance and mentoring to other engineers. At Eneco, you’ll join a collaborative, purpose-driven environment where data and technology play a central role in accelerating the energy transition. You will work alongside experienced Data Engineers, Machine Learning Engineers, Data Scientists, and Analysts to develop cloud-based platforms that transform diverse data streams—from smart meters to renewable assets—into valuable insights and innovative solutions. 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. You can work to a flexible schedule and work partly from home if your role allows it. We assist customers to accelerate their sustainability efforts, devise innovative solutions and seize opportunities with both hands. The phases of our application procedure: This is not a call for acquisition.
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