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Data Engineer


We're seeking a talented Data Engineer to join an Investment Management firm in London and play a pivotal role in their journey of growth. If you are a data professional with the experience of migrating and integrating data into new environments, then this could be the opportunity for you. Job Responsibilities Design, develop, and maintain data pipelines and ETL processes using Python, SQL, and other relevant technologies. Implement system integration solutions to connect data sources and systems effectively. Lead data mapping efforts to ensure seamless integration and consistency across databases and platforms. Oversee data migration projects, ensuring accuracy, completeness, and compliance with regulatory standards. Collaborate with cross-functional teams to understand data requirements and optimise data architecture and workflows. Troubleshoot causes and provide solutions to data-related issues, ensuring data integrity and reliability. Stay updated on industry best practices and emerging technologies to drive continuous improvement in data engineering processes. Qualifications Bachelor's degree in Computer Science, Engineering, or related field. Proven experience as a Data Engineer with expertise in Python and SQL. Strong understanding of system integration, data mapping, and data migration concepts. Hands-on experience with ETL tools and frameworks. Proficiency in designing and optimising relational databases. Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. If you're passionate about leveraging data to drive business success, looking for a new challenge to make an impact and are excited about joining a company who are in hyper-growth mode, then do not hesitate. Apply Now! To find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Agency in relation to this vacancy | Registered office | 1st Floor, 75 King William Street, London, EC4N 7BE, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

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