Data Platforms Software Engineer in Oxford

Data Platforms Software Engineer in Oxford

Oxford Full-Time 50000 - 60000 £ / year (est.) No working from home possible
Aurora Energy Research Limited

At a Glance

  • Tasks: Build and maintain high-performance data platforms for energy modelling.
  • Company: Join a dynamic team at Aurora, shaping the future of energy.
  • Benefits: Enjoy private medical insurance, dental cover, and local discounts.
  • Other info: Be part of a fast-paced team that values innovation and collaboration.
  • Why this job: Make a real impact on global energy decisions while working with cutting-edge technology.
  • Qualifications: 3+ years in backend systems, strong Python skills, and a passion for energy transformation.

The predicted salary is between 50000 - 60000 £ per year.

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 and Expertise

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

What we offer

  • Private Medical Insurance
  • Dental Insurance
  • Parental Support
  • Salary‑Exchange Pension
  • Employee Assistance Programme (EAP)
  • Local Oxford Discounts
  • Cycle‑to‑work Scheme
  • Flu Jabs

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.

Data Platforms Software Engineer in Oxford employer: Aurora Energy Research Limited

Aurora is an exceptional employer located in the vibrant city of Oxford, offering a dynamic work environment where innovation thrives. As a Data Platforms Software Engineer, you will be part of a small, agile team that values collaboration and creativity, with ample opportunities for professional growth and development. The company provides a comprehensive benefits package, including private medical insurance and a cycle-to-work scheme, ensuring a supportive and rewarding workplace for all employees.

Aurora Energy Research Limited

Contact Details:

Aurora Energy Research Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Platforms Software Engineer in Oxford

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Aurora Energy Research Limited!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Platforms Software Engineer at Aurora Energy Research Limited.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aurora Energy Research Limited.

Apply Directly through Our Website

When you find a suitable opening like Data Platforms Software Engineer at Aurora Energy Research Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Platforms Software Engineer in Oxford

Backend Development
Python
Testing and Automation
AI Coding Tools
Team Collaboration
Distributed Systems
Data Platform Development

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Aurora Energy Research Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aurora Energy Research Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Aurora Energy Research Limited

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aurora Energy Research Limited!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.