MLOPS/Data Engineer

We are seeking an experienced MLOps/Data Engineer to support data-driven solutions in the Renewable Energy sector. You will play a central role in developing scalable machine learning pipelines, managing cloud infrastructure, and ensuring the efficient deployment and monitoring of models supporting operational and sustainability goals. This position requires a strong foundation in data engineering, a deep understanding of machine learning operations, and hands-on experience in Python and PySpark. The ideal candidate is capable of designing robust data workflows, optimising data accessibility and quality, and collaborating with data scientists and analysts to deliver high-impact solutions.
As part of a multidisciplinary team, you will assist in automating and productionising machine learning models, ensuring consistent performance and reliability. You will maintain efficient data pipelines, develop monitoring solutions for models in production, and manage the integration of data from multiple renewable energy sources including solar, wind, and storage systems. You will also be responsible for maintaining data governance standards and contributing to the team’s DevOps culture.

• Strong experience working with data pipelines, ETL processes, and large-scale data platforms
• Proficiency in Python for data manipulation, scripting, and automation
• Experience with PySpark for distributed data processing
• Understanding of MLOps principles including CI/CD, model versioning, and monitoring
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience deploying machine learning models to production environments
• Working knowledge of containerisation technologies such as Docker and orchestration via Kubernetes
• Ability to collaborate with data scientists, analysts, and software engineers
• Knowledge of data governance, metadata management, and data quality frameworks
• Excellent problem-solving skills and ability to work in fast-paced, agile environments
• Relevant degree in Computer Science, Engineering, or related field
  

This freelance position is based in Amsterdam and offers:

• Competitive hourly rate of €80-130
• Hybrid Working (adhoc)

This is a unique opportunity to have a measurable impact on green technology by shaping the way data and machine learning models are used in the renewable energy domain. You will be exposed to complex data challenges and empowered to bring in innovation that accelerates the transition to more sustainable energy solutions. If you are passionate about leveraging data and ML engineering to drive positive environmental change, we would love to hear from you.