Data Engineer (Energy Management)

at Eneco
📍 Rotterdam, Netherlands
EUR 70,000-85,000 per year
MIDDLE
✅ Hybrid

🕙 32-40 hours per week

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Grafana @ 3 Kubernetes @ 3 DevOps @ 3 IaC @ 2 Python @ 5 Scala @ 3 SQL @ 5 Spark @ 1 dbt @ 5 Java @ 5 NoSQL @ 3 RDBMS @ 3 CI/CD @ 6 Machine Learning @ 3 MLOps @ 2 Data Science @ 2 AWS @ 2 FastAPI @ 3 SRE @ 3 Debugging @ 3 API @ 3 Databricks @ 3 Snowflake @ 5

Details

Eneco is on a mission to be climate neutral by 2035, offering innovative digital capabilities and smart solutions to its customers. The Digital Core team is dedicated to elevating the online customer experience through modernization of chat, app, and web environments.

Responsibilities

  • Ensure robust and scalable real-time time-series data processing in Databricks (Scala) environments.
  • Make data accessible and usable across departments to drive Eneco’s digital innovations.
  • Lead technical decisions related to cloud-based data solutions and advise the product team.
  • Design and implement cloud solutions to meet product requirements.

What you’ll do

  • Set up projects and lead technical decisions on cloud-based data platform.
  • Maintain API servers and develop streaming/batch data processing pipelines.
  • Work on exciting IoT products such as smart thermostat, energy insights, and smart charging for consumers.

Requirements

Must Have:

  • Experience in REST API development (e.g., Spring or FastAPI).
  • Understanding of streaming data ingestion and processing.
  • Experience with MPP data platforms such as Spark; experience with Databricks and Unity Catalog is a plus.
  • Programming proficiency in Java, Scala, and Python.
  • Strong software engineering practices: code reviews, version control, testing, CI/CD.
  • Interest in DevOps/SRE principles for production deployment.

Nice to Have:

  • Experience working with high volume time series data.
  • Knowledge of data modelling and architecture patterns.
  • Experience deploying to Kubernetes and skills in monitoring (Grafana) and debugging.
  • Familiarity with cloud providers (e.g., AWS) and Infrastructure as Code (IaC).
  • Experience with NoSQL (e.g., DynamoDB) and RDBMS (e.g., Postgres).
  • Proficiency in SQL and DBT with Snowflake.
  • Interest or familiarity with MLOps and data science techniques.

Benefits

  • Gross annual salary between €70,000 and €85,000 including FlexBudget, 8% holiday allowance, and potential bonus or collective profit sharing.
  • FlexBudget can be taken as extra holidays, cash, or saved.
  • Personal and professional growth support.
  • Hybrid working model: 40% office and 40% home, balanced with personal preferences.

Work environment

Collaborate with Data Engineers, Machine Learning Engineers, Data Scientists, and Data Analysts focusing on IoT products that transform consumer energy usage. The team culture encourages learning, collaboration, celebrating success, and learning from failure.