Senior Integration Engineer

Gen II Fund Services; Southampton; Hybrid; GBP 75,000 - 105,000; Full time

Job summary

Gen II is building out its Data & Integration Platform — a central integration backbone connecting 40+ systems across our fund administration technology estate. The Senior Integration Engineer will own end-to-end delivery of integration workstreams, leveraging Azure Functions, Logic Apps, Service Bus, API Management and Python, with AI-assisted tooling embedded in daily work.

You'll come in fast, drive delivery with minimal oversight, and collaborate closely with the Associate Director of Data

Qualifications

• 5+ years of hands-on integration engineering experience — evidenced in role history, not just a skills list.
• Deep practical experience with Azure Function Apps, Logic Apps Standard, Service Bus, and API Management — you have written the workflows and configured the policies yourself.
• Strong Python development — clean, production-quality code with proper error handling, logging, and test coverage.
• Demonstrable experience building or contributing to an integration factory — reusable adapter patterns, scaffolding, CI/CD automation.
• Active use of AI-assisted development in integration delivery — pattern generation, code scaffolding, IaC templating, documentation automation; embedded in how you work.
• Ability to own workstreams independently and drive delivery without close management.
• Experience writing system wrapper libraries — encapsulating authentication, API interaction, and error handling for third-party platforms (desirable).
• Snowflake experience — querying, schema patterns, and structuring integration payloads for downstream consumption (desirable).
• Exposure to fund administration or broader financial services environments (desirable).
• Strong communication skills with the ability to collaborate across technical and business teams

Responsibilities

• Building and extending reusable system wrappers (Python) for applications and systems across the Gen II technology estate.
• Using AI tooling across all integration development — scaffolding Function Apps, generating Logic Apps workflows, producing APIM policies, building test cases, generating IaC, and automating documentation.
• Contributing to the factory's pattern library — standardising error handling, retry logic, logging, and payload structures across all integration components.
• Driving CI/CD pipeline integration for adapter delivery — automated test execution, linting, and deployment gates.
• Designing and building integration adapters using Azure Function Apps (Python) — the primary execution pattern across DIP.
• Developing Logic Apps Standard workflows, including WDL authoring, scope actions, error handling, and retry patterns — with AI-assisted workflow generation embedded in the build process.
• Configuring Azure API Management — inbound/outbound policies, managed identity auth, versioning, and throttling — leveraging AI to draft, validate, and document policies.
• Working with Azure Service Bus for event-driven and async messaging patterns
• Contributing to IaC outputs (Bicep) for per-adapter infrastructure — using AI to scaffold and maintain templates
• Taking integration workstreams from requirement to production with minimal hand-holding
• Writing clean, well-tested Python with pytest-based test suites aligned to DIP QA standards
• Working closely with the Associate Director of Data Engineering, DIP Architect, BAs, and QA — raising blockers early and documenting decisions clearly
• Collaborating with data engineers to ensure ingress and egress integration outputs land cleanly in / out of Snowflake

Skills

Azure

Python

AI-assisted development

CI/CD

Snowflake

Tools

Azure Function Apps

Logic Apps Standard

Service Bus

API Management

Job description

Gen II is building out its Data & Integration Platform — the central integration backbone connecting 40+ systems across our fund administration technology estate. At the heart of DIP is an AI-assisted integration factory: a structured, repeatable delivery engine for building, testing, and deploying integration adapters at pace.

We are looking for a Senior Integration Engineer to join the DIP team and take direct ownership of integration delivery — combining deep Azure integration expertise with an embedded AI-assisted development practice. This is not a role for someone who is learning how to use AI tooling; we want someone who already works this way and can help us push the factory model further.

You will be expected to come in, get up to speed quickly, and drive forward integration workstreams with minimal oversight. We need a self-starter who can take a requirement, own it end-to-end, and deliver at pace and quality. You will report to and work closely with the Associate Director of Data Engineering.

What you'll be doing

Integration Factory & AI-Assisted Delivery

• Building and extending reusable system wrappers (Python) for applications and systems across the Gen II technology estate
• Using AI tooling (LLMs, codegen, Claude) across all integration development — scaffolding Function Apps, generating Logic Apps workflows, producing APIM policies, building test cases, generating IaC, and automating documentation; AI assistance is the default mode of working, not a selective shortcut
• Contributing to the factory's pattern library — standardising error handling, retry logic, logging, and payload structures across all integration components
• Driving CI/CD pipeline integration for adapter delivery — automated test execution, linting, and deployment gates
• Designing and building integration adapters using Azure Function Apps (Python) — the primary execution pattern across DIP
• Developing Logic Apps Standard workflows, including WDL authoring, scope actions, error handling, and retry patterns — with AI-assisted workflow generation embedded in the build process
• Configuring Azure API Management — inbound/outbound policies, managed identity auth, versioning, and throttling — leveraging AI to draft, validate, and document policies
• Working with Azure Service Bus for event-driven and async messaging patterns
• Contributing to IaC outputs (Bicep) for per-adapter infrastructure — using AI to scaffold and maintain templates

Delivery & Collaboration

• Taking integration workstreams from requirement to production with minimal hand-holding
• Writing clean, well-tested Python with pytest-based test suites aligned to DIP QA standards
• Working closely with the Associate Director of Data Engineering, DIP Architect, BAs, and QA — raising blockers early and documenting decisions clearly
• Collaborating with data engineers to ensure ingress and egress integration outputs land cleanly in / out of Snowflake

The ideal background for this role:

• 5+ years of hands-on integration engineering experience — evidenced in role history, not just a skills list
• Deep practical experience with Azure Function Apps, Logic Apps Standard, Service Bus, and API Management — you have written the workflows and configured the policies yourself
• Strong Python development — clean, production-quality code with proper error handling, logging, and test coverage
• Demonstrable experience building or contributing to an integration factory — reusable adapter patterns, scaffolding, CI/CD automation
• Active use of AI-assisted development in integration delivery — pattern generation, code scaffolding, IaC templating, documentation automation; this should be embedded in how you work, not aspirational
• Ability to own workstreams independently and drive delivery without close management
• Experience writing system wrapper libraries — encapsulating authentication, API interaction, and error handling for third-party platforms (desirable)
• Snowflake experience — querying, schema patterns, and structuring integration payloads for downstream consumption (desirable)
• Exposure to fund administration or broader financial services environments (desirable)
• Strong communication skills with the ability to collaborate across technical and business teams

Role Location/Hybrid Schedule

This role is based in our Southampton office. Although the nature of most of the roles within Gen II cannot be classed as totally flexible, there is scope in some cases for a form of Agile Working. The different ways in which Agile Working can be undertaken is dependent on the demands and needs of the business, the office space available and the individual's preferences and circumstances.