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

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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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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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