Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and scale data infrastructure using cutting-edge cloud technologies.
- Company: Join OnBuy, one of the UK's fastest-growing tech companies.
- Benefits: Competitive salary, flexible working, and opportunities for personal growth.
- Why this job: Make a real impact in a dynamic environment and shape the future of data.
- Qualifications: Experience with data engineering and a passion for innovation.
- Other info: Be part of a close-knit team where your voice truly matters.
The predicted salary is between 36000 - 60000 £ per year.
Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed.
Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves.
About the Role: As our Data Engineer your key responsibilities will be:
- Developing and scaling analytics infrastructure using modern cloud-based data platforms and tooling (e.g., BigQuery, Snowflake, Databricks).
- Designing, building, and maintaining robust data pipelines to ingest, transform, and deliver high-quality datasets for analytics and reporting.
- Owning and evolving the semantic data layer, ensuring clean, well-modelled datasets that enable self-serve analytics and data-driven decision making.
- Collaborating with the analytics team, business stakeholders and tech function to understand requirements and deliver scalable solutions that meet business needs.
- Driving innovation through the development of data products, such as feature stores, automated insights, or ML-ready datasets.
Data Engineer employer: OnBuy Limited
Contact Detail:
OnBuy Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at OnBuy on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Data Engineer. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about cloud-based data platforms and data pipelines. We want to see how you can own your responsibilities and tackle challenges head-on!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Think of examples where you've designed or maintained data solutions in the past. We love candidates who can demonstrate their ability to innovate and adapt in a fast-paced environment.
✨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 being part of our mission at OnBuy!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data engineering shine through! We want to see that you’re genuinely excited about the role and how you can contribute to our mission at OnBuy.
Tailor Your CV: Make sure your CV is tailored to the Data Engineer position. Highlight relevant experience with cloud-based platforms like BigQuery or Snowflake, and don’t forget to mention any cool projects you've worked on that relate to building data pipelines!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our awesome team at OnBuy!
How to prepare for a job interview at OnBuy Limited
✨Know Your Data Tools
Make sure you’re well-versed in the cloud-based data platforms mentioned in the job description, like BigQuery, Snowflake, and Databricks. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects. This shows you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you had to design robust data pipelines or improve existing processes. Highlighting your ability to own responsibilities and get things done will resonate well with OnBuy’s mission.
✨Emphasise Collaboration
Since the role involves working closely with analytics teams and business stakeholders, be ready to discuss your experience in collaborative environments. Share stories that demonstrate your ability to communicate effectively and understand diverse requirements, as this is key to delivering scalable solutions.
✨Adaptability is Key
OnBuy thrives in an ever-changing environment, so be prepared to talk about how you’ve adapted to change in previous roles. Whether it’s learning new technologies or shifting project priorities, showing that you can stay focused and prioritise ruthlessly will make you stand out as a candidate who can thrive at OnBuy.