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For Companies At a Glance
- Tasks: Design and maintain data pipelines while collaborating with a dynamic team.
- Company: Join an ambitious team at Oxford Risk, applying behavioural science in finance.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and opportunities for growth.
- Why this job: Make a real impact on financial decisions and improve investor outcomes.
- Qualifications: Experience in Data Engineering, ETL processes, and strong analytical skills required.
- Other info: Be part of a collaborative environment that values curiosity and proactive teamwork.
The predicted salary is between 36000 - 60000 £ per year.
This is a full-time hybrid role for a Data Engineer located in Greater London, with opportunities for remote work. The Data Engineer will be responsible for designing, implementing, and maintaining data pipelines and architectures. Daily tasks include developing data models, performing ETL processes, managing data warehouses, and conducting data analytics to support business objectives.
What we’re looking for
- Experience in Data Engineering and Data Modeling
- Proficiency in Extract Transform Load (ETL) processes and Data Warehousing
- Strong skills in Data Analytics
- Excellent problem-solving and analytical skills
- Ability to work collaboratively in a hybrid work environment
- Bachelor's degree in Computer Science, Information Technology, or related field
- Experience with behavioural finance or financial services industry is a plus
Why Oxford Risk?
We’re a small, ambitious team applying behavioural science to the real world of financial decisions. Our work spans investor profiling, engagement tools, and behavioural nudges — all designed to personalise advice and improve long-term outcomes. You'll join an international, collaborative team working across research, product, and design to help investors not just decide what to invest in — but how to behave while doing it.
Our values
- Be conscientious – Do the right thing for investors, customers, and colleagues
- Be clear and make it simple – Understandable, concise, repeatable
- Be proactive and collaborative – Take action and work well with others
- Be curious – Open to improvement and learning
How to apply
To apply, please send your CV and a short cover letter to careers@oxfordrisk.com. We are not accepting any CV's through recruitment agencies for this role. We look forward to hearing from candidates.
The Print Rooms Unit 110 - 164-180 Union St, London, SE1 0LH
Data Engineer in London employer: Oxford Risk
Contact Detail:
Oxford Risk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. Practice common data engineering scenarios and be ready to discuss how you’ve tackled challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our team.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience in data engineering, ETL processes, and data analytics. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Keep it concise but engaging, explaining why you're excited about the role and how you can contribute to our team. Show us your personality and passion for data!
Showcase Relevant Experience: When detailing your experience, focus on projects or roles that relate directly to data pipelines, data modelling, and data warehousing. We love seeing real-world applications of your skills!
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 Oxford Risk
✨Know Your Data Inside Out
Make sure you brush up on your data engineering concepts, especially around ETL processes and data modelling. Be ready to discuss specific projects where you've designed or maintained data pipelines, as this will show your practical experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you had to analyse data to support business objectives and be ready to explain your thought process and the outcomes.
✨Familiarise Yourself with Behavioural Finance
Since the company values experience in behavioural finance, do a bit of research on this area. Be prepared to discuss how your skills can contribute to personalising advice and improving investor outcomes.
✨Emphasise Collaboration
As this role involves working in a hybrid environment, highlight your ability to collaborate effectively with remote teams. Share examples of how you've worked with others to achieve common goals, showcasing your proactive and curious nature.