Data Engineer

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

Required skills and experience

• 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

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