M

Backend Engineer

Method Resourcing

City of London, England, United Kingdom (Hybrid) · Full Time

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Experience
Any
Salary
GBP 85,000 – GBP 85,000 / year
Openings
1
Posted
4 days ago
Work mode
Hybrid
Resume
Required to apply

Where you'll work

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Job description

About the Role

Join a leading financial services firm investing significantly in Data & AI capabilities as a Backend Engineer. You'll be part of a growing Data Science function, playing a key role in scaling AI, analytics, and data products across the organization.

Key Responsibilities

Collaborate directly with Data Scientists, BI teams, and business stakeholders to design and develop production-quality backend services. Build and maintain Model Context Protocol (MCP) infrastructure and APIs that expose data science outputs effectively, enabling other teams to create innovative products and experiences. While the role includes full stack responsibilities, the primary focus is on backend and platform development, with occasional front-end prototyping to validate solutions.

Required Skills and Expertise

  • Proficient in Python software engineering.
  • Hands-on experience developing with FastAPI and/or Flask frameworks.
  • Solid knowledge of API design principles including REST and GraphQL.
  • Experience in building, versioning, documenting, and securing APIs.
  • Commercial experience with Model Context Protocol (MCP) servers.
  • Proven track record of delivering scalable, production-grade backend services.
  • Familiarity with Databricks or comparable cloud-based data platforms.
  • Understanding of authentication mechanisms, service architecture, and integration design patterns.
  • Ability to create simple front-end prototypes as needed.
  • Strong commitment to code quality with experience reviewing code and mentoring team members.
  • Ability to work closely with Data Scientists to translate analytical outputs into robust services.

Compensation and Benefits

  • Competitive salary of £85,000 plus discretionary bonus of up to 20%.
  • 25 days of annual leave plus public holidays.
  • Employer pension contributions at 8%.
  • Private medical insurance coverage.
  • Life assurance benefits.
  • Salary protection covering 75% of income.
  • Continuous opportunities for training and professional development.
  • Wellbeing initiatives and employee lifestyle discounts.

Work Environment

This position is based in London with a hybrid working pattern requiring attendance on-site 2-3 days per week. Applicants should be comfortable with this schedule before applying.

Tools & software

Databricks required

How they work

Teamwork & Collaboration Attention to Detail Adaptability Leadership

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