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Deloitte - Recruitment

Data / Python Engineers - EMEA Regulatory Reporting (Capital Markets)

Deloitte - Recruitment Greater London, England, United Kingdom

Business Consulting and Services · 10,001+ employees

Jun 09
python Senior (5-10 yrs) Contractor United Kingdom
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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

Python SQL Apache Airflow ETL/ELT BigQuery Data Pipelines Regulatory Reporting Capital Markets MiFID II EMIR SFTR Data Modeling CI/CD Git Pytest SQLAlchemy

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

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