Data / Python Engineers - EMEA Regulatory Reporting (Capital Markets)
Deloitte - Recruitment · Greater London, England, United Kingdom
Business Consulting and Services · 10,001+ employees
About the role
Design, build, and maintain Python-based data pipelines to support EMEA regulatory transaction reporting obligations. Collaborate with cross-functional teams to ensure data accuracy, completeness, and timeliness within critical financial systems.
What they look for
Requirements
Requires strong production-grade Python development experience and solid proficiency in SQL and relational data modeling. Candidates must have hands-on experience with Apache Airflow and a strong understanding of capital markets products and regulatory regimes.
Full description
Role: Data / Python Engineers - EMEA Regulatory Reporting (Capital Markets)
Location: London – 3 days onsite (Full Time Role)
Start Date: July 2026
End Date: 31st December 2026
Daily Rate: Inside IR35
Payroll provider: Rockford Payroll Info for Contingent Workers – Rockford Pay
This is an exciting opportunity to join Deloitte Operations for an engagement with one of our clients.
The Role
We are currently supporting a leading capital markets firm in London with the hire of a Data / Software Engineers to join their regulatory reporting technology team on a contract basis.
This is a hands-on software development role within regulatory reporting, focused on building and maintaining scalable data pipelines and controls that support EMEA transaction reporting obligations.
You will be working in a fast-paced engineering environment, supporting critical regulatory reporting systems and large-scale financial data processing.
Key Responsibilities
· Design, build, and maintain Python-based data pipelines supporting EMEA regulatory transaction reporting (e.g. MiFID II, EMIR, SFTR)
· Develop and enhance scalable ETL/ELT workflows using Apache Airflow
· Work with large-scale financial datasets to ensure accuracy, completeness, and timeliness of regulatory submissions
· Build automated data quality checks, controls, and reconciliation frameworks
· Develop and optimise SQL queries and data models (including BigQuery environments)
· Collaborate with stakeholders across engineering, data, and regulatory reporting teams
· Contribute to software engineering best practices including testing, code reviews, and CI/CD processes
Key Skills & Experience
· 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
