Data Platforms Software Engineer

MiddleOn-site (Oxford)~€5,700 – €8,250 / mo
Required Skills
PythonC#
Job Description
Aurora helps governments, investors, and utilities make billion‑dollar decisions on the journey to net‑zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud-based software to track and model power grids around the world.

Aurora's models produce some of the most data-intensive outputs in the energy industry – half hourly, generator-level simulations across 30-year horizons. As a founding Software Engineer on the Data Platforms team, you will build and own the infrastructure that makes that data fast, reliable, and useful. You will work in a small, fast-paced team that releases changes multiple times a day. The successful applicant will be an excellent problem solver, a strong team player, and a proven ability to take big projects from conception to production. 

We're open to a range of candidates - the role and compensation will reflect your experience.


Key Responsibilities

  • Build high-uptime platforms that serve 100TB -1PB data fast and reliably
  • Build tools and platforms that empower engineers, modellers, and analysts across Aurora 
  • Be a founding member of the Data Platforms team - shaping its culture, practices, and technical direction from the ground up


Skills & Knowledge

Required attributes:
  • 3+ years developing impactful, mission-critical backend systems
  •  The ability to work in fast-paced, high-ownership environments
  •  Excellence in one or more language (we mostly use Python)
  •  Strong discipline in testing and automation
  •  Experienced, judicious user of AI coding tools
  •  An exceptional team player - low-ego, high-initiative
  •  Genuine interest in the transformation of energy markets and infrastructure 
Desirable attributes:
  • Hands-on experience with large distributed systems 
  • Previous experience building data platform - including scheduling, streaming, storage, compute 
  • Python, Lakehouse architectures, Terraform, AWS
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