Data Platforms Software Engineer

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

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

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.