Data engineer in wealth management

Intelligent Talent; Greater London; On-site; GBP 65,000 - 75,000; Full time

Benefits offered by this job

Annual bonus 10%

Private medical insurance

Employer pension 7%

Income protection

Job summary

Intelligent Talent in London (UK) seeks a Senior Data Engineer to evolve an Azure-based data platform, with a mix of greenfield work and enhancements to an established system. The team embraces AI tools like Copilot and Azure AI Foundry, and the role requires hands-on data engineering across pipelines, data models and integrations.

The ideal candidate has strong Python/PySpark and SQL skills, solid data governance understanding, and the ability to mentor peers in a security-conscious, regulated

Qualifications

• Hands-on Microsoft Fabric experience essential, ideally 1+ year supporting and evolving what you built after go-live.
• Strong Python/PySpark and advanced SQL, with solid data modelling, ETL/ELT, orchestration and data quality experience.
• Working understanding of data governance, privacy and security, with evidence of controls in what you build.
• Experience mentoring or giving technical guidance to other data engineers.
• Clear communication with technical and non-technical colleagues, and self-motivation to own outcomes.
• Working familiarity with AI tools such as Copilot or Azure AI Foundry; basic AI competence expected across the business.
• Bonus: financial services, wealth management or other regulated-sector experience is a real advantage.

Responsibilities

• Designing and building pipelines, data models and integrations across Lakehouse, Warehouse, OneLake, pipelines and notebooks, using Python, PySpark and advanced SQL.
• Connecting internal and third-party systems through APIs and SFTP.
• Automated testing, validation and data quality controls.
• Tuning performance, reliability and cloud cost.
• Taking production incidents through to root cause and lasting fix.
• Improving observability, resilience and maintainability across the platform.
• Git, Azure DevOps, CI/CD and code review in two-week Scrum sprints.
• Documenting designs and controls to governance, privacy and security standards of a regulated business.

Skills

Python

PySpark

Advanced SQL

Data modelling

ETL/ELT

Data governance

AI tools

Mentoring

Communication

Tools

Lakehouse

OneLake

Git

Azure DevOps

CI/CD

Microsoft Fabric

Azure AI Foundry

Job description

Описание:

A UK wealth management business needs a Senior Data Engineer to join its small Azure data team. The work combines evolving an established platform with greenfield development, so you’ll build new things and stay with them long enough to make them genuinely good. The business is also adopting AI, with Copilot and Microsoft Azure AI Foundry already in use.

Задачи:

Designing and building pipelines, data models and integrations across Lakehouse, Warehouse, OneLake, pipelines and notebooks, on a medallion architecture Python, PySpark and advanced SQL, day to day Connecting internal and third-party systems through APIs and SFTP Automated testing, validation and data quality controls Tuning performance, reliability and cloud cost Taking production incidents through to root cause and a lasting fix Improving observability, resilience and maintainability across the platform Git, Azure DevOps, CI/CD and code review, working in two-week Scrum sprints Documenting designs and controls to the governance, privacy and security standards a regulated business needs

Требования:

Hands-on Microsoft Fabric experience in your current or most recent role. This is essential. Ideally a year or more in that role, supporting and evolving what you built after go-live Strong Python/PySpark and advanced SQL, with solid data modelling, ETL/ELT, orchestration and data quality experience A working understanding of data governance, privacy and security, and how to evidence controls in what you build Experience mentoring or giving technical guidance to other data engineers Clear communication with technical and non-technical colleagues, and the self-motivation to own outcomes A working familiarity with AI tools such as Copilot or Azure AI Foundry. Everyone in the business is expected to have a basic level of AI competence. Будет плюсом: Financial services, wealth management or other regulated-sector experience is a real advantage

Условия:

London is the preferred base, with Birmingham also available. You’ll need to live within about an hour of either office. The team currently works together in the London or Birmingham office two days a month. Company policy is that everyone must be willing and able to work from the office up to three days a week if required, so that needs to work for you too. You’ll need the right to work in the UK. Sponsorship isn’t available. £65,000–£75,000 basic, 10% annual bonus, 7% employer pension, private medical insurance and income protection.