# Software Engineer – Data Platforms at Auroraer

> Hybrid · United Kingdom · Unspecified · Data engineering · open. Source: https://alderhq.app/jobs/pinpoint%3Aauroraer%3A601562 (read 2026-11-04).

## Facts (observed)

- Company: [Auroraer](https://alderhq.app/companies/auroraer)
- Location text: Oxford, UK, Oxford
- Where it can be done from (inferred): Hybrid · United Kingdom (evidence: "Location: Oxford, UK, Oxford")
- Posted: already open when tracking began; date unknown
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://careers.auroraer.com/en/postings/96a052b7-c5d7-4198-be76-bc0ce0e3a9db
- Skills listed (inferred): Python, AWS, Terraform, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United Kingdom, n 4): p25 £76k, median £88k, p75 £100k

## Description (the employer's text)

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.

### 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

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
### Benefits

Some of the benefits we include are:

- Private Medical Insurance
- Dental Insurance
- Parental Support
- Salary-Exchange Pension
- Employee Assistance Programme (EAP)
- Local Oxford Discounts
- Cycle-to-work Scheme
- Flu Jabs
At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process.

The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period.

Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/pinpoint%3Aauroraer%3A601562 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.