Python Data Engineer

Strong professional experience in Python development, particularly in data-intensive enterprise applications.Significant experience as a Data Engineer, Software Engineer, or Data Platform Engineer on large and complex technology programs.Experience building ETL/ELT pipelines, data-integration services, or large-scale data-processing platforms.Strong SQL skills and experience working with relational databases.Experience with modern software-delivery practices, including Git, CI/CD, automated testing, and controlled deployment processes.Financial Services ExperienceDemonstrated experience working within banking, capital markets, or another highly regulated financial-services environment.Experience delivering technology solutions within a large global financial institution is strongly preferred.Understanding of financial products, trading environments, and front-to-back financial data flows is highly desirable.Experience integrating or processing data across trading, Finance, Product Control, Accounting, General Ledger, or financial-reporting platforms is particularly valuable.Understanding of financial controls, reconciliation, accounting data, data lineage, and audit requirements within regulated institutions.Relevant domain experience may include trade lifecycle processing, Product Control, P&L processing, general ledger integration, sub-ledgers, accounting feeds, financial reporting, reference data, or regulatory reporting.