Data Engineer

(Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer), As a Data Engineer, you will take responsibility for the development of high-quality pipelines that process and manage large volumes of data from a range of external and internal sources. You'll play a key role in enhancing and maintaining their central data platform, ensuring the smooth delivery of information that supports investment decision-making. Working closely with stakeholders across the business, you'll help shape how data is accessed, tested, and leveraged to maximise value.

• 3-6 years of relevant experience working as a Data Engineer (or in a closely related role).
• A 2:1 or above in Computer Science (or related field), ideally from a Russell Group university.
• Direct experience in the hedge fund sector (essential).
• Strong ability to design and build data pipelines that integrate multiple data sources.
• Proficiency in SQL and Python, with solid exposure to AWS or other cloud-based data tools.
• Familiarity with version control systems such as Git and workflow/orchestration tools such as Airflow.
• Proven ability to test and troubleshoot data systems, with a track record of improving reliability and accuracy.
• Excellent communication skills, with the ability to collaborate effectively in a team environment.
• A detail-oriented, proactive mindset, with a willingness to learn and apply new technologies.

Salary: £45,000 - £80,000 + Bonus + Benefits

Applicants must be based in the UK and have the right to work in the UK.

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