Data / Python Engineers - EMEA Regulatory Reporting (Capital Markets)
CompanyDeloitte
Location
City Of London, England, United Kingdom
Employment TypeFull-time
Posted At6/9/2026
UK Visa Sponsorship Analytics
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Occupation TypeIT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900
(£28.15 per hour)
Occupation rate applies
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Description
Role: Data / Python Engineers - EMEA Regulatory Reporting (Capital Markets)
Location: London – 3 days onsite (Full Time Role)
Start Date: July 2026
End Date: 31 st 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 (M
Location: London – 3 days onsite (Full Time Role)
Start Date: July 2026
End Date: 31 st 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 (M
iFID 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
· Experience with Git and version control workflows
· Experience writing unit tests (e.g. pytest) and working in CI/CD environments