Job Title: ML Ops / Data Engineer

Location: Oxford (Hybrid)

Who Are We Recruiting For?

Are you a Qualified and Results-Oriented ML Ops / Data Engineer with a passion for innovation and sustainability? Do you thrive in a Collaborative environment and possess the Technical Expertise to build and maintain robust data infrastructure? If you’re a Motivated and Highly Skilled individual who wants to make a real impact on the future of clean energy, we want to hear from you!

My client is a Pioneering force in the energy sector, using cutting-edge data science and software engineering to maximize the value of grid-scale battery storage. Their mission is to make battery storage a Winning investment solution, enabling a smooth transition to a clean energy future. This is your chance to join a Dynamic and Visionary team, playing a pivotal role in shaping the future of renewable energy storage.

What Will You Be Doing?

  • Become the architect of our data engineering infrastructure, designing, developing, and continuously improving tools, workflows, and platforms.
  • Write Clean and Maintainable code that adheres to best practices, setting high standards for the entire Data Science team.
  • Foster a culture of Continuous Learning, upskilling the software team to seamlessly support and collaborate on data science projects.
  • Champion Data Quality, implementing and maintaining robust processes to ensure data accuracy, availability, and accessibility across the organization.
  • Provide backup and support to the tech-on-call team, ensuring seamless operations.
  • Bridge the communication gap between Software and Data Science teams, fostering collaboration and knowledge sharing.

Are You the Ideal Candidate?

  • You possess a minimum of 5 years of experience with Python and a proven track record of success in technical teams.
  • A minimum of 3 years of experience building data pipelines, delivering production-ready code, and maintaining live applications is essential.
  • You have a strong understanding of machine learning workflows and at least 2 years of experience in orchestration.
  • Proficiency with industry-standard tools is a must, including Orchestration and IaC in AWS (e.g. Terraform, Kubernetes, RabbitMQ, Airflow), Git, containerization (Docker), and database management (e.g. Postgres, Alembic).
  • Fluency in Python and its numerical ecosystem (e.g. Pandas, NumPy, Polars, Pydantic) is essential.

Plus Points:

  • Experience with relational database design and cloud infrastructure.
  • Familiarity with monitoring frameworks (e.g. Prometheus).
  • Expertise in archiving data to Parquet on S3 and building tools for API/Grafana queries.
  • A proven ability to centralize diverse datasets for analytics, visualization, and machine learning.
  • Understanding of time-series forecasting, optimization techniques, and data visualization tools (e.g. Grafana, Superset).
  • Familiarity with machine learning concepts (feature engineering, boosting methods, LightGBM) and the UK power markets.

What’s In It For You?

  • Join a Cutting-Edge company at the forefront of the clean energy revolution.
  • Make a real difference in the fight against climate change and contribute to a sustainable future.
  • Be part of a Collaborative and Supportive team that values your expertise and ideas.
  • A Competitive salary and benefits package with opportunities for professional development.
  • Enjoy a Hybrid work environment with flexibility and at least 2 days per week in our Oxford office.

Who Are We?

Executive Integrity is a global executive search and recruitment consultancy for a more sustainable world with a focus on talent within the Maritime and Renewable Energy sectors. We give a proportion of all our profits to Renewable World, a charity that develops affordable and innovative renewable energy solutions to poverty-stricken communities.

Apply now

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