Project Engineer Piping & Mechanical
Senior Full-Stack Data Engineer Rotterdam • Eneco
Gevraagd
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40 uur
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Senior
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Engels (taal)
Aanbod
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Vast contract
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6.667 - € 9.583 p/m (bruto)
Vacature in het kort
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Join a company committed to becoming climate neutral by 2035—where your engineering skills directly support sustainability and green innovation.
Help build a scalable, cloud-native analytics platform that empowers analysts, developers, and scientists to drive smarter, data-informed decisions company-wide.
Work hands-on with cutting-edge tools like Snowflake, Airflow, DBT, and FastAPI in a high-trust, collaborative data team focused on continuous learning and experimentation.
As a Data Engineer, you will help design and build our cloud-based Analytics Platform that powers internal data workflows. This platform supports data analysts, scientists, and other data engineers by providing scalable, reliable, and secure access to data. You’ll lead key technical decisions, contribute to platform architecture, and implement best practices to enable self-service analytics and streamlined data integration. This is a great opportunity to shape a core part of our data ecosystem and drive data-driven decision-making across the company.
Setting up and managing the infrastructure to deploy key components of the Analytics Platform.
Adding monitoring and improving visibility so other teams can better understand and manage their data usage and costs.
Collaborating with mobile and app developers to build data pipelines and infrastructure that support the experimentation platform.
Partnering with technical web analysts to develop pipelines for web and app traffic analytics, enabling deeper insight into Eneco’s digital performance.
Ensuring all solutions are robust, scalable, and future-proof.
Empowering teams across the organization by making data accessible, usable, and actionable—supporting Eneco’s mission for digital innovation.
Must Have:
5 Year+ experience as Data Engineer or Analytics Engineer
An engineer who thrives at the intersection of Analytics and Engineering.
Hands-on experience integrating DBT with Apache Airflow.
Strong understanding of data warehouse concepts and operations (we use Snowflake).
Advanced programming skills in Python.
Familiarity with data modeling and modern data architecture patterns.
Proven experience developing REST APIs, ideally using FastAPI or similar frameworks.
Knowledge of software engineering best practices: code reviews, version control, testing, and CI/CD.
Nice to Have:
Experience deploying applications to Kubernetes, with knowledge of monitoring tools like Grafana and general debugging techniques.
Exposure to cloud platforms (e.g., Azure); experience with Infrastructure as Code (e.g., Terraform) is a plus.
Experience working with both NoSQL databases (e.g., DynamoDB) and relational databases (e.g., PostgreSQL).
Background in digital/traffic analytics, including tools like Google Analytics and Google Tag Manager.
Experience with experimentation platforms such as Growthbook or Optimizely.
Comfortable working with semantic models and visualization tools like Power BI.
Previous experience working with MPP data platforms like Apache Spark; hands-on experience with Databricks and Unity Catalog is a plus.
You'll work alongside Data Engineers, Scientists, and Analysts to shape Eneco’s Analytics Platform. Together, you'll create a self-serve, high-trust analytics & experimentation platform where other teams can independently explore data, experiment, and make decisions. We’re a collaborative, curious team that values learning, ownership, and experimentation. We celebrate wins, learn from failures, and support each other as we grow Eneco’s data-driven culture.
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