Data Architect

Our client, a world-leading commodities trading company, is embarking on a monumental digital transformation to become a data-driven organisation. This initiative, spearheaded by top leadership, represents a significant cultural shift and a massive technological overhaul.
We seek a Lead Data Integration Engineer/Architect with extensive experience in data engineering and a solid background in legacy technologies such as Java. The ideal candidate will have a proven track record working on large, complex trading systems, ideally within investment banking environments.
Position: Lead Data Integration Engineer/Architect
Employment Type: Full-Time, Permanent (4 days per week in office, West End, London)
Key Responsibilities:

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• Develop advanced data abstraction layers to integrate legacy trading systems (WPF, Oracle, Java) with a modern AWS-based data and analytics stack.
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• Lead a team of engineers and data scientists to drive the transformation of our client's data infrastructure.
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• Collaborate with stakeholders to understand data requirements and translate business needs into technical specifications.
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• Ensure data consistency, validity, traceability, and accessibility for data scientists and analysts.
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• Utilise applied mathematics and inference techniques to decipher and understand undocumented databases and systems.
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Qualifications:

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• Bachelor's degree in Software Engineering, Computer Science, or related field.
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• Proven experience in enterprise-scale data engineering and managing large databases.
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• Expertise in legacy systems integration with cloud platforms, particularly AWS.
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• Strong programming skills in Java and Python and familiarity with SQL and NoSQL databases.
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• Experience with ORM systems, SOAP APIs, data modelling, ETL processes, and data governance.
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• Prior experience in commodities trading or financial markets is essential.
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Why Join?

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• Be part of a groundbreaking transformation at a leading global commodities trading firm.
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• Work on cutting-edge technologies and help shape the future of data-driven trading.
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• Collaborate with top-tier professionals and contribute to a strategic initiative backed by substantial investment.
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• Enjoy a dynamic and inclusive work environment with opportunities for professional growth.
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