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

Max file size 2mb
I agree to give consent to receive SMS or MMS from Executive Integrity Ltd. Message and data rates may apply. Message frequency varies. To opt out, send the word STOP. View our Privacy Policy for further details
I consent to storing and processing my personal data as outlined on the 'How Executive Integrity manages and uses your personal data' page.
Sign up for jobs alerts
Consultant
Is it Chrome or something else?