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- Tasks: Join our Data Engineering team to build and optimise data pipelines.
- Company: Nominet, a leading domain name registry with a positive societal impact.
- Benefits: Enjoy hybrid working, early finish Fridays, and generous annual leave.
- Other info: Diverse workplace committed to valuing every individual and offering excellent career growth.
- Why this job: Make a difference by supporting critical internet infrastructure and improving lives.
- Qualifications: Experience with AWS, Databricks, and Big Data technologies required.
The predicted salary is between 50000 - 65000 £ 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
This role is for a Data Engineer to enable the Data Analysts to deliver analysis and insights to the rest of the business. You will be part of a Data Engineering team set up to migrate data from a variety of on‑prem and cloud sources into the Delta Lakehouse provider, Databricks. You will be part of developing and maintaining the full data pipeline stack and will involve many disciplines, including cloud architect, infrastructure‑as‑code development, software engineering, and general operational support.
What You’ll Be Doing
- Actively participate in the development and maintenance of core data pipelines.
- Implement and optimize 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.
About You
- Experience with AWS systems including EC2, S3, CloudWatch and ECS.
- Experience with non‑relational databases like Databricks.
- Experience with data modelling concepts.
- Experience with Big Data technology Apache Spark.
- Experience with programming languages and SQL.
What To Expect Next
- 1st stage: Introduction call with a member of the TA team (30 mins).
- 2nd stage: Hiring manager interview (Onsite, 2 hours including coding).
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 in Oxford employer: Nominet
Contact Detail:
Nominet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to current employees at Nominet on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for that coding interview! Brush up on your SQL and Big Data skills, especially with Apache Spark. Practise coding challenges online to get comfortable with the types of problems you might face during the interview.
✨Tip Number 3
Show off your projects! If you've worked on relevant data pipelines or cloud architecture, be ready to discuss them in detail. Bring examples that highlight your experience with AWS and Databricks to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Nominet team.
We think you need these skills to ace Data Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS, Databricks, and Big Data technologies like Apache Spark. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects you've worked on that demonstrate your data pipeline skills. Whether it's a personal project or something from a previous job, we love seeing practical examples of your work!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Nominet
✨Know Your Data Tools
Familiarise yourself with the specific tools and technologies mentioned in the job description, like AWS, Databricks, and Apache Spark. Be ready to discuss your experience with these platforms and how you've used them in past projects.
✨Prepare for Coding Challenges
Since there's a coding interview involved, brush up on your programming skills, especially in SQL and any other relevant languages. Practice common data engineering problems and be prepared to explain your thought process as you solve them.
✨Understand the Company’s Impact
Research Nominet's role in the internet infrastructure and their commitment to societal benefits. Being able to articulate how your work as a Data Engineer can contribute to their mission will show your genuine interest in the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data pipeline processes, and how success is measured in this role. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.