Position Summary
The team is looking to add a Sr. Data Engineer who will be instrumental in building and supporting the data infrastructure behind client-facing financial insights.
What You’ll Be Doing
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Architect and maintain scalable data workflows that handle high-volume, complex datasets from ingestion through delivery
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Explore and interpret data to uncover trends, anomalies, and opportunities that inform client strategies
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Identify and resolve inconsistencies in data, ensuring high standards of accuracy and reliability
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Continuously refine system performance and improve existing data processes
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Build and enhance ETL pipelines using Python, while writing efficient, high-performing SQL queries
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Manage and optimize database operations across MySQL and Microsoft SQL Server environments
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Partner with stakeholders across teams to design data structures that support evolving business needs while adhering to strict data governance standards
Core Qualifications
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Degree in a technical or quantitative field such as Computer Science, Engineering, Mathematics, or similar
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Hands-on experience developing and supporting data pipelines in production environments
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Strong programming ability in Python and advanced SQL expertise
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Solid understanding of relational database design, performance tuning, and query optimization (MySQL, SQL Server)
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Analytical mindset with a high level of precision and the ability to manage competing priorities