Data Engineer

Data Engineer

  • Location

    London, England

  • Sector:

    Machine Learning & AI

  • Job type:


  • Salary:

    £50000 - £60000 per annum + Company Benefits

  • Contact:

    Nicholas Bell

  • Email:


  • Job ref:


  • Published:

    about 1 month ago

  • Expiry date:


  • Consultant:


I am searching for a talented Data Engineer to join an innovative Tech-for-good enterprise based in London and open to fully remote working depending on individual needs. You will be joining a globally recognised team that is operating within the Sustainability and CleanTech space creating cutting-edge cloud solutions.

As a Data Engineer you will have proficiency in Python programming, experience with cloud technologies, and a passion to work within an agile environment alongside a a team with a shared mission to have a positive impact on society!

This is a unique opportunity to innovate within an experimental environment whilst maintaining a hands-on position. You will be exposed to tech such as Python, AWS, Snowflake, and more! You truly have the best of both worlds - greenfield projects, whilst working alongside a forward-thinking team made up of the brightest minds in tech!

What we can offer a Data Engineer:

- Competitive compensation package

- Broad exposure within an innovative team working on greenfield projects

- Rapid progression through a flat structured organisation

- An environment that is perfect for a true technologist. You will be surrounded by individuals just like yourself.

Keywords: Data Engineer: Ansible, Airflow, Python, Docker, PyTorch, Machine Learning, ML, Engineer, Programmer, Developer, PhD, MSc, BSc, Data Engineer, Computer Science, Engineering, AI, Artificial Intelligence, AI, Artificial Intelligence, Machine Learning, ML, NLP, Deep Learning, GANs, Deep Neural Networks, CNNs, Computer Vision, Vision, Intelligent Systems, Research, Scientist, Researcher, PhD, Post Doctoral, Research Fellow, Lecturer, Reinforcement Learning, ACML, NIPS, ICML, ICVPR, Publications, Conferences, Journals, Generative Models, Engineer, Engineering, Developer, Development, Programme, Programming