Senior Data Engineer

About the Role

Nucleus Financial Platforms runs its data estate on Microsoft Fabric. The Data Engineering team ingests data from the group's platform systems and enterprise tools, transforms it through a four layer architecture, and delivers it as a curated data warehouse and semantic model layer. That output supports management information, financial reporting, self service analytics, an emerging AI capability, and regulatory returns under FCA and PRA obligations. As a Senior Data Engineer you will own the design and delivery of the more complex parts of that platform. You will decide how a new source is onboarded and modelled, what controls it needs before it can be relied on for regulatory and financial reporting, and whether a change is safe to promote. Alongside that you will set the standards the team builds to, lead delivery of significant pieces of work, and develop the engineers around you. It is a hands on engineering role with technical leadership attached, and depending on the shape of the team it may include line management. How we work We work in an Agile cycle alongside a Product Owner. Everything we build is version controlled in Azure DevOps and promoted through Fabric deployment pipelines across development, test and live. Development takes place in an isolated feature workspace, every change is peer reviewed before it reaches production, and anything touching regulatory reporting carries an additional test and approval gate. We cover daily platform health checks, and documentation is treated as part of the build rather than an afterthought. In this role you will be expected to shape that way of working, not simply operate within it. Responsibilities: Own platform and pipeline design: Lead the design of ingestion pipelines and warehouse models, from the first review of a source feed through to a live, reconciled and documented pipeline in production. Set the engineering standards: Define and evolve the team's design standards, naming conventions, load pa

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.