Senior Data Platform Lead β€” Backend Architect (Python/AWS) in Oxford

Senior Data Platform Lead β€” Backend Architect (Python/AWS) in Oxford

Oxford Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Aurora Energy Research

At a Glance

  • Tasks: Lead a team to build robust data platforms for energy simulations.
  • Company: Aurora Energy Research, a pioneering firm in the energy sector.
  • Benefits: Competitive pay, private medical insurance, and a cycle-to-work scheme.
  • Other info: Join a dynamic team with opportunities for growth and innovation.
  • Why this job: Make a significant impact in the energy sector with innovative technology.
  • Qualifications: Experience in backend development, Python, and AWS required.

The predicted salary is between 70000 - 90000 Β£ per year.

Aurora Energy Research in Oxford is seeking a founding Software Engineer for the Data Platforms team to build infrastructure that supports data-intensive outputs and large-scale simulations in the energy sector. The role involves managing a team, developing impactful backend systems, and ensuring high reliability of data platforms.

A competitive compensation package will be provided based on experience, along with benefits such as private medical insurance and a cycle-to-work scheme.

Senior Data Platform Lead β€” Backend Architect (Python/AWS) in Oxford employer: Aurora Energy Research

Aurora Energy Research is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Oxford. Employees benefit from a competitive compensation package, comprehensive private medical insurance, and a cycle-to-work scheme, all while having the opportunity to grow within a pioneering team dedicated to transforming the energy sector through cutting-edge data solutions.

Aurora Energy Research

Contact Details:

Aurora Energy Research Recruitment Team

We think you need these skills to ace Senior Data Platform Lead β€” Backend Architect (Python/AWS) in Oxford

Python
AWS
Backend Development
Team Management
Data Infrastructure
Reliability Engineering
Data-Intensive Systems