Job Description
A rapidly growing global financial services firm is looking for a Senior Data Engineer as they expand their Enterprise Data Team in the US.
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With over 3,000 employees globally and more than $2B in annual revenue, the business is continuing to expand its product offering, global footprint and technology capabilities. This is an opportunity to join a growing team and help build out a modern data platform supporting a complex, multi-market trading business.
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What makes this opportunity exciting?
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- Join a global financial services business experiencing strong growth, with significant investment in technology and data capabilities
- Be part of a greenfield initiative, helping shape the next generation of its data platform and engineering architecture
- Work with a modern tech stack including Databricks, AWS, Python, SQL, Spark and CI/CD
- Build scalable data pipelines supporting business intelligence, advanced analytics, machine learning and AI initiatives
- Take ownership of engineering standards, automation, data quality and platform performance
- Collaborate with Data, AI and Analytics teams on projects with tangible commercial impact across a global markets business
- Influence technical direction from day one, with the opportunity to help establish best practices rather than simply maintain legacy infrastructure
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What we’re looking for:
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- Strong hands-on experience with Databricks and Spark in production environments
- Excellent Python and SQL skills
- Experience building scalable data pipelines and lakehouse architectures
- Knowledge of CI/CD, automated testing, data quality and observability
- AWS experience preferred
- Financial services experience is a plus, particularly within capital markets, trading or other data-intensive environments
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If you're a Data Engineer looking for a genuine greenfield opportunity where you can build with modern technology, influence architectural decisions and make an impact within a growing global financial services business, please apply directly.