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Barclays Logo Barclays · IT - Software Development

Senior Data Engineer

Czech Republic, Prague · Job Posted June 02, 2026
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Job Description

As a Senior Data Engineer, you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.

Job Responsibility

  • Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues
  • Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools
  • Ensure code is scalable, maintainable, and optimized for performance
  • Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
  • Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability

Requirements

  • Python ETL development — experience building and maintaining batch data pipelines in Python 3.10+, including structured data extraction, transformation logic, and idempotent batch loading patterns
  • SQL Server and relational data modelling — hands-on experience writing T-SQL, designing analytical schemas (stored procedures, MERGE/upsert patterns, TVPs, indexed views), and working with pyodbc or SQLAlchemy Core
  • Regulatory or financial data processing — demonstrated experience parsing structured and semi-structured financial data sources (XBRL, SEC filings, or equivalent), including handling taxonomy variations, missing fields, and data quality edge cases

Nice to have

  • Familiarity with the SEC EDGAR ecosystem — experience with Edgar tools, the EDGAR full-text search API, or equivalent tools for accessing public company filings (10-K, 8-K, 13F, SC 13D, DEF 14A)
  • Market data integration — experience sourcing and normalising equity price/market cap data (e.g. yfinance, Bloomberg, Refinitiv) for derived metrics such as EV/EBITDA, TSR, or leverage ratios
  • Investment banking domain knowledge — familiarity with IB deal types (M&A, DCM, ECM, Restructuring, Activism Defense), financial statement analysis, or quantitative screening signals used in deal origination

What we offer

  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
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