At a Glance
- Tasks: Design and build data pipelines and models using cutting-edge technologies.
- Company: Dynamic wealth management firm embracing AI and innovation.
- Benefits: Competitive salary, bonus, pension, private medical insurance, and flexible working.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Join a forward-thinking team and shape the future of data in finance.
- Qualifications: Hands-on experience with Microsoft Fabric, Python, and advanced SQL required.
The predicted salary is between 63000 - 77000 £ per year.
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.
Responsibilities:
- Designing and building pipelines, data models and integrations across Lakehouse, Warehouse, OneLake, pipelines and notebooks, on a medallion architecture 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 a lasting fix.
- Improving observability, resilience and maintainability across the platform.
- Using 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.
Requirements:
- 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.
Desirable:
- Financial services, wealth management or other regulated-sector experience is a real advantage.
Conditions:
- 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.
- 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.
Data engineer in wealth management in London employer: Intelligent Talent
Intelligent Talent is an exceptional employer that fosters a collaborative and innovative work culture, ideal for Data Engineers looking to make a significant impact in the field of data migration and analytics. With a strong focus on employee growth, we offer comprehensive benefits including a competitive salary, performance bonuses, and private medical insurance, all while providing opportunities to work with cutting-edge technologies in a hybrid environment across vibrant UK locations like Birmingham, London, Reading, and Leeds.
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We think you need these skills to ace Data engineer in wealth management in London
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