At a Glance
- Tasks: Design and develop Python-based data services for finance teams.
- Company: Join a leading financial firm with a focus on innovation.
- Benefits: Competitive pay, flexible hybrid work, and opportunities for growth.
- Other info: Collaborative team culture with a focus on best engineering practices.
- Why this job: Make an impact in finance by enhancing data quality and analytics.
- Qualifications: Experience in Python, data engineering, and finance environments.
The predicted salary is between 60000 - 80000 £ per year.
Python Data Engineer 3-6 Months initial contract London/Hybrid - 1-2 days per week on site £Negotiable rate (Inside IR35) We are seeking an experienced Python Data Engineer to join a high-performing data engineering team, building and enhancing centralised data services used by quantitative researchers, traders and front-office teams.
The ideal candidate will have experience in Hedge funds, Asset management or Investment banks.
As well as a good understanding of Quant engineering/Quant data groups, Fixed income, rates, FX, macro, trading or pricing environments.
This is a hands‑on engineering role focused on designing, developing and maintaining scalable data platforms, pipelines and services that deliver high‑quality, validated investment data.
You'll work closely with technical stakeholders to improve data quality, build reusable data capabilities and support business‑critical analytics.
Key Responsibilities Design, develop and enhance Python-based data services used by front‑office and quantitative teams.
Build scalable data pipelines and services to ingest, transform and deliver high-quality datasets.
Develop robust data validation frameworks to improve the accuracy and reliability of derived data.
Work closely with quantitative researchers, traders and engineering teams to understand data requirements and expected outputs.
Cleanse, filter and validate raw datasets to ensure data quality before they are consumed by downstream users and applications.
Support the centralisation of data services, reducing duplication and improving consistency across multiple data sources.
Contribute to the design and implementation of scalable, reusable data architecture rather than tactical point solutions.
Build and maintain APIs and data platforms capable of serving large-scale financial datasets.
Take ownership of solutions throughout the full software development lifecycle, from design and development through testing, deployment and production support.
Promote engineering best practices, including automated testing, version control and CI/CD.
Deploy and maintain applications within cloud-native and containerised environments.
Collaborate with cross-functional teams to continuously improve data platforms supporting pricing, risk, analytics and investment processes.
Required Skills
Contact Details:
Advanced Resource Managers Ltd Recruitment Team
