Senior Machine Learning Engineer

at Eneco
📍 Rotterdam, Netherlands
EUR 88,000-145,000 per year
SENIOR
✅ Hybrid

🕙 32-40 hours per week

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Python @ 6 SQL @ 6 CI/CD @ 4 Machine Learning @ 4 MLOps @ 4 Data Science @ 7 Azure @ 4 Communication @ 7 Data Engineering @ 7 Git @ 7 MLFlow @ 4 Databricks @ 4 Reporting @ 4

Details

Work on a wide variety of topics in an end-to-end integrated energy company.

Bring machine learning models to production to create value and build and improve our MLOps infrastructure.

At Eneco, you’ll contribute directly to making the Netherlands more sustainable.

Responsibilities

  • Design, build, and maintain our Databricks-based ML platform: packages, notebook templates, CI/CD pipelines, and self-service tooling.
  • Collaborate with value streams and other departments: advise, train, and provide hands-on support to set up and productionize new ML models.
  • Set up and manage end-to-end MLOps workflows using tools like MLflow.
  • Implement cost-tracking and reporting dashboards for Databricks usage.
  • Monitor platform performance, scalability, and security—and continuously drive improvements.
  • Mentor junior colleagues and team members, helping define best practices and standards.
  • Co-define and execute the roadmap (OKRs) for our ML platform.
  • Enable self-service for data scientists: reducing operational overhead so they can focus on model development.
  • Ensure a stable, secure, and cost-efficient Databricks environment.
  • Conduct quality and code reviews, and coach colleagues.
  • Document and evangelize platform standards and best practices across the organization.

Requirements

  • Master’s degree (or higher) in Computer Science, Artificial Intelligence, or a related field.
  • At least 5 years of relevant experience as an ML Engineer or Data Engineer with a strong Data Science affinity in a data-driven environment.
  • Extensive (3+ years) hands-on experience with Databricks.
  • Excellent programming skills in Python and proficiency with SQL and PySpark.
  • Experience with cloud platforms, preferably Azure.
  • Deep knowledge of MLOps tooling: MLflow and CI/CD (Git).
  • Strong communication skills in English; able to influence both technical and non-technical audiences.
  • A proactive, solution-oriented mindset and the ability to drive change in others.

Benefits

  • Gross annual salary between €88,000 and €145,000 including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.
  • FlexBudget that can be paid out, used to buy extra holiday days, or saved.
  • Personal and professional growth support with a personal learning budget, internal knowledge sessions, and external training opportunities.
  • Hybrid working arrangement: 40% at the office and 40% at home, with flexibility on the other day.

Work Environment

  • You will work in Eneco’s new Tech department in the ML Engineering discipline.
  • Embedded in product teams or technical platform teams in a matrix organizational structure.
  • Collaborate with fellow data professionals to build a community of practice around ML Engineering.

Company Mission

Eneco is committed to climate neutrality by 2035, helping customers accelerate their sustainability efforts and innovate responsibly.