At a Glance
- Tasks: Lead a team to build high-performance data platforms for the energy sector.
- Company: Join Aurora, a pioneering tech firm driving net-zero solutions.
- Benefits: Enjoy private medical insurance, parental support, and local discounts.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Shape the future of energy markets with cutting-edge technology.
- Qualifications: 10+ years in backend systems, team management, and a passion for energy transformation.
The predicted salary is between 80000 - 100000 £ 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
- Manage a team of Software Engineers
- 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:
- 10+ 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
- Previous experience managing teams of 5+ engineers
- An exceptional team player - low‑ego, high‑initiative
- Genuine interest in the transformation of energy markets and infrastructure
- 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
- Parental Support
- 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.
Senior Data Platforms Software Engineer employer: Aurora Energy Research
Aurora is an exceptional employer located in the vibrant city of Oxford, where you will be part of a dynamic and innovative engineering team dedicated to making a significant impact on the journey to net-zero. With a strong focus on employee growth, we offer a range of benefits including private medical insurance, parental support, and local discounts, all within a collaborative work culture that values initiative and teamwork. As a founding member of the Data Platforms team, you will have the unique opportunity to shape our technical direction while working on cutting-edge projects that transform energy markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platforms Software Engineer
✨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!
✨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 Senior Data Platforms Software Engineer at Aurora Energy Research.
✨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.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Platforms Software Engineer at Aurora Energy Research, 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 Senior Data Platforms Software Engineer
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, 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. 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
✨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!
✨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.
