Data / Python Engineers - EMEA Regulatory Reporting (Capital Markets)
On-siteLondon, England, United Kingdom
Job Summary
Design, build, and maintain Python-based data pipelines supporting EMEA regulatory transaction reporting for MiFID II, EMIR, and SFTR obligations. Develop scalable ETL/ELT workflows using Apache Airflow to process large-scale financial datasets, ensuring accuracy and timeliness of submissions. Build automated data quality checks, controls, and reconciliation frameworks while optimizing SQL queries and data models within BigQuery environments. Collaborate with engineering and regulatory teams to implement software best practices, including testing, code reviews, and CI/CD processes. This hands-on role supports a leading capital markets firm's regulatory technology team in London on a three-day onsite contract basis through December 2026.
Required Qualifications
- Strong Python development experience (production-grade engineering, not scripting)
- Solid experience with SQL and relational data modelling
- Hands-on experience with Apache Airflow (building and maintaining DAGs)
- Experience working with large-scale data processing systems
- Familiarity with SQLAlchemy and/or BigQuery
- Strong understanding of capital markets products and trade lifecycle
- Exposure to EMEA regulatory transaction reporting regimes (MiFID II, EMIR, SFTR, FCA reporting, etc.)
- Experience with Git and version control workflows
- Experience writing unit tests (e.g. pytest) and working in CI/CD environments
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