At a Glance
- Tasks: Join our team to build and optimise data pipelines using modern technologies.
- Company: Nominet, a leading domain name registry with a positive societal impact.
- Benefits: Enjoy hybrid working, early finishes, generous leave, and private medical insurance.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make a real difference by supporting critical national infrastructure and large-scale data capabilities.
- Qualifications: Strong engineering skills in Java, Python, or SQL; curiosity about data and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
Location Hybrid, with a minimum of 20% in the Oxford office per month.
About Us
We’re Nominet – a world‑leading domain name registry operating at the heart of the UK internet. While we're best known for running .UK domains, our DNS expertise also underpins critical internet infrastructure that government services, including the NHS, rely on. As a public benefit company, our work has a positive impact on society. We’ve donated millions to projects that use technology to improve people’s lives and have committed to delivering £60m worth of support over the next three years.
The Role
We’re looking for engineers from a range of technical backgrounds who are interested in building a career in Data Engineering, particularly those with strong Java experience looking to transition into modern data platform engineering. You’ll join a Data Engineering team responsible for migrating and transforming data from a variety of on‑premise and cloud platforms into our Databricks Delta Lakehouse environment. The role works across the full data platform stack, covering data pipelines, cloud infrastructure, backend engineering, infrastructure‑as‑code, and operational platform support. This is an opportunity to apply existing engineering expertise to complex technical challenges that support critical national infrastructure and large‑scale data capabilities. We’re less focused on candidates already holding the title “Data Engineer” and more interested in strong engineers with transferable technical skills, curiosity, and an interest in developing within modern data and cloud technologies.
What You’ll Be Doing
- Actively participate in the development and maintenance of core data pipelines.
- Implement and optimise data ingestion, transformation, and integration processes.
- Ensure all code developed is tested with a suite of unit, integration, and infrastructure tests.
- Update and maintain documentation on architecture, security, and pipeline code.
You will work with AWS systems including EC2, S3, CloudWatch, and ECS. Databricks. Languages such as Python, Java, and SQL.
What We Offer
- Hybrid & Flexible Working.
- Early Finish Friday – Working week of 34 hours with full‑time pay. (Finish at midday on Friday).
- 30 days of annual leave plus bank holidays, with the ability to purchase an additional 5 days.
- Private Medical Insurance + Employee Assistance Programme.
- Pension Scheme (Matched to 7%).
- Annual Bonus Scheme.
- Family Leave (Enhanced).
- Electric vehicle scheme with on‑site charging points.
- Rewards platform with access to discounts at hundreds of shops, restaurants etc. (Flexible Benefits).
Diversity Statement
We’re passionate about creating a workplace where every individual is valued, respected, and empowered. Somewhere we can benefit from all forms of diversity and discover the true value in our differences. If there are any adjustments we could make to the recruitment and selection process to support you, please let us know.
Security Statement
Nominet is committed to the safeguarding and welfare of the internet and expects all employees and volunteers to share this commitment by participating in the relevant security and screening processes. All roles working for Nominet will be subject to a Baseline Personnel Security Standard (BPSS) check. Some roles due to the nature of their work will require additional security clearance.
Data Engineer/Software Engineer in Oxford employer: Nominet
Nominet is an exceptional employer that prioritises employee well-being and professional growth, offering a hybrid working model with flexible hours and an early finish on Fridays. With a strong commitment to social impact, employees can take pride in contributing to critical national infrastructure while enjoying generous benefits such as 30 days of annual leave, private medical insurance, and a robust pension scheme. The inclusive work culture fosters diversity and empowers individuals to thrive in their careers, making Nominet a rewarding place to build a future in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer/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 Nominet!
✨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 Engineer/Software Engineer at Nominet.
✨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 Nominet.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer/Software Engineer in Oxford
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 Nominet, 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 Nominet. 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 Nominet
✨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 Nominet!
✨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.
