Senior Python Engineer, Investment Platform

DataArt; Greater London; Ibrido; GBP 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

DataArt in London is seeking a Senior Python Engineer who writes production code daily and refactors business tools into well-engineered applications. You will work directly with portfolio managers to understand usage and ensure changes do not break existing behavior.

This is a 100% hands-on role with hybrid work, onsite at the client’s London office three days per week, for a 12+ month duration. The role emphasizes building data-intensive analytics, collaborating on API design, testing, CI/CD,

Competenze

• 5+ years of hands-on production Python development with Python as the main language.
• ETF or front-office experience in asset management, investment banking, or capital markets; direct work with portfolio managers or traders.
• Experience modernizing legacy or business-built applications.
• Strong SQL skills and cloud platform experience (AWS preferred).
• Experience with API design, automated testing, CI/CD, and Git.
• Ability to gather requirements directly from business users and communicate clearly with non-technical stakeholders.
• Willingness to work on-site at the client’s London office three days per week.
• Experience with fixed-income ETFs, portfolio management, or investment analytics.
• Experience with Aladdin, BNY, or comparable investment platforms.
• Experience with Snowflake, Redshift, Databricks, or BigQuery.
• Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.

Mansioni

• Design, develop, and maintain production-grade Python applications and APIs.
• Refactor and modernize Python/Excel tools built by business teams by adding tests, structure, security, and observability.
• Work directly with portfolio managers and front-office users to clarify requirements and validate results.
• Build data-intensive and analytics features using SQL and cloud data platforms.
• Contribute to CI/CD, automated testing, and code reviews.
• Apply AI-assisted development practices where they improve speed and quality.

Conoscenze

Python

SQL

AWS

API design

CI/CD

Git

Stakeholder communication

On-site London

Descrizione del lavoro

We are looking for a Senior Python Engineer who writes production code every day. You will build new components and refactor business-built tools into well-engineered applications. You will work directly with portfolio managers to understand how the tools are used and what must not break. This is a 100% hands-on role, not an advisory or architectural role.

This is a hybrid position requiring onsite presence at the client’s London office three days per week.

Duration: 12+ months

• Design, develop, and maintain production-grade Python applications and APIs.
• Refactor and modernize Python/Excel tools built by business teams by adding tests, structure, security, and observability.
• Work directly with portfolio managers and front-office users to clarify requirements and validate results.
• Build data-intensive and analytics features using SQL and cloud data platforms.
• Contribute to CI/CD, automated testing, and code reviews.
• Apply AI-assisted development practices where they improve speed and quality.

• 5+ years of hands-on experience in production Python development. Python is the main language in your current role.
• ETF or investment front-office experience (asset management, investment banking, or capital markets). At a minimum, you have worked directly with portfolio managers or traders.
• Experience modernizing legacy or business-built applications.
• Strong SQL skills and experience with cloud platforms (AWS preferred).
• Experience with API design and integration, automated testing, CI/CD, and Git.
• Ability to gather requirements directly from business users and communicate clearly with non-technical stakeholders.
• Ability and willingness to work on-site at the client’s London office three days per week.

• Experience with fixed-income ETFs, portfolio management, or investment analytics.
• Experience with Aladdin, BNY, or comparable investment platforms.
• Experience with Snowflake, Redshift, Databricks, or BigQuery.
• Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.