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A data analytics firm is seeking a full-time hybrid Data Engineer located in Greater London. The role involves designing and maintaining data pipelines, performing ETL processes, and leveraging data analytics to enhance business operations. Applicants should possess a Bachelor's degree in Computer Science or a related field, alongside strong skills in Data Engineering and collaboration. Join a small, innovative team dedicated to applying behavioural science to improve financial decision-making.
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.
Required skills and experience
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.
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.
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