

Deloitte
Python Analytics & Technology Engineer – Equities
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 6-month contract for a Python Analytics & Technology Engineer – Equities located in London (hybrid). Key skills include Python, SQL, ETL processes, and knowledge of OTC Equity Derivatives. Immediate start required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 26, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
City Of London, England, United Kingdom
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🧠 - Skills detailed
#Data Integrity #Automation #Scala #Python #Data Quality #"ETL (Extract #Transform #Load)" #Classification #Data Pipeline #Migration #Monitoring #UAT (User Acceptance Testing) #Documentation #Regression #SQL (Structured Query Language) #Pandas #Data Engineering #Deployment #Project Management #Logging #Data Accuracy #Schema Design
Role description
Contract Role: Python Analytics & Technology Engineer – Equities
Contract Location: London. Hybrid
Contract Duration: 6 months initially (with potential extension)
Contract Start Date: Immediate
Contract Classification: Inside IR35
Overview
A leading global investment banking organisation is seeking a Senior Python Analytics & Technology Engineer to support a Strategic Equity Solutions business. This role sits within a specialist analytics function focused on technology development, reporting automation, systems integration and data engineering.
The successful candidate will work closely with business stakeholders and technology teams to build scalable analytics solutions, automate reporting processes and support strategic technology initiatives across the equities business.
Key Responsibilities
Technology Development & Automation
• Develop and enhance analytics applications using Python and SQL.
• Build automated data pipelines, ETL processes and reporting solutions.
• Implement production-grade monitoring, logging, testing and performance optimisation.
• Maintain code repositories, documentation and deployment processes.
Reporting & Analytics
• Develop and maintain management information and operational reporting.
• Deliver ad-hoc analysis and data insights to support business decision making.
• Automate manual reporting processes and improve data quality controls.
• Reconcile and validate data across multiple internal platforms.
Systems & Change Delivery
• Support technology enhancements, system integrations and workflow improvements.
• Gather business requirements and produce functional documentation.
• Coordinate testing activities including UAT, regression testing and defect management.
• Partner with technology teams to onboard new data sources, APIs and services.
Essential Skills & Experience
Technical Must‑Haves:
• Strong Python development (pandas, data engineering workflows, automated scripts, APIs).
• Advanced SQL (schema design, query optimisation, stored procedures).
• Experience deploying and maintaining applications in a production environment (CI/CD, job schedulers, monitoring).
• Ability to design robust ETL processes and ensure data integrity.
Financial/Product Knowledge:
• Understanding of OTC Equity Derivatives.
• Working understanding of RWA, TCE, and capital usage concepts.
Reporting & Analytics:
• Strong experience producing management and operational reports.
• Ability to create quick, flexible, precise reporting outputs for internal use.
• High attention to data accuracy and control.
Project Management & Delivery
• Experience working with technology teams on system enhancements, integrations, or migrations.
• Ability to write clear requirements, test functionality, and track issues.
• Comfortable with iterative development and changing priorities.
Contract Role: Python Analytics & Technology Engineer – Equities
Contract Location: London. Hybrid
Contract Duration: 6 months initially (with potential extension)
Contract Start Date: Immediate
Contract Classification: Inside IR35
Overview
A leading global investment banking organisation is seeking a Senior Python Analytics & Technology Engineer to support a Strategic Equity Solutions business. This role sits within a specialist analytics function focused on technology development, reporting automation, systems integration and data engineering.
The successful candidate will work closely with business stakeholders and technology teams to build scalable analytics solutions, automate reporting processes and support strategic technology initiatives across the equities business.
Key Responsibilities
Technology Development & Automation
• Develop and enhance analytics applications using Python and SQL.
• Build automated data pipelines, ETL processes and reporting solutions.
• Implement production-grade monitoring, logging, testing and performance optimisation.
• Maintain code repositories, documentation and deployment processes.
Reporting & Analytics
• Develop and maintain management information and operational reporting.
• Deliver ad-hoc analysis and data insights to support business decision making.
• Automate manual reporting processes and improve data quality controls.
• Reconcile and validate data across multiple internal platforms.
Systems & Change Delivery
• Support technology enhancements, system integrations and workflow improvements.
• Gather business requirements and produce functional documentation.
• Coordinate testing activities including UAT, regression testing and defect management.
• Partner with technology teams to onboard new data sources, APIs and services.
Essential Skills & Experience
Technical Must‑Haves:
• Strong Python development (pandas, data engineering workflows, automated scripts, APIs).
• Advanced SQL (schema design, query optimisation, stored procedures).
• Experience deploying and maintaining applications in a production environment (CI/CD, job schedulers, monitoring).
• Ability to design robust ETL processes and ensure data integrity.
Financial/Product Knowledge:
• Understanding of OTC Equity Derivatives.
• Working understanding of RWA, TCE, and capital usage concepts.
Reporting & Analytics:
• Strong experience producing management and operational reports.
• Ability to create quick, flexible, precise reporting outputs for internal use.
• High attention to data accuracy and control.
Project Management & Delivery
• Experience working with technology teams on system enhancements, integrations, or migrations.
• Ability to write clear requirements, test functionality, and track issues.
• Comfortable with iterative development and changing priorities.





