--our bespoke web application and data platform. This is a pivotal, cross-functional role where you'll shape and implement our data strategy, working at the intersection of data engineering, cloud infrastructure, and full-stack development.
You'll enhance data ingestion pipelines, build scalable data models, and ensure seamless integration into both
Power BI
and our
React/Next.js
web application. Collaborating closely with our
Group Data and Technology Lead
, you'll help centralise client, revenue, and review workflows--powered by
Microsoft Fabric
and
Azure
.
Key Responsibilities
Data Platform Development
Design and maintain scalable
ETL/ELT pipelines
using
Azure Data Factory
and
Synapse
.
Model and store data using
Delta Lake / OneLake
, with governance and lineage via
Microsoft Purview
.
Integrate third-party APIs (e.g.
Intelligent Office
,
AJ Bell
,
Transact
) into the platform.
Full-Stack Integration
Collaborate with frontend/backend teams to expose transformed data via
NestJS APIs
.
Embed
Power BI
datasets and visualisations into
React/Next.js
UI components.
Troubleshoot and resolve issues across data pipelines and application layers.
Cloud, DevOps & Governance
Contribute to
CI/CD
pipelines using
Azure DevOps
,
Docker
, and
Git
.
Implement secure credential management and monitoring via
Azure Key Vault
.
Document architecture, data flows, and technical processes across the stack.
Innovation & Collaboration
Partner with analytics, architecture, and engineering teams to enhance data-driven product experiences.
Continuously improve ingestion, modelling, and integration processes within the
Microsoft Fabric
ecosystem.
What We're Looking For
Technical Expertise
Proficient in
React
,
Next.js
,
NestJS
, and
Node.js
.
Strong experience in data orchestration, modelling, and integration into web applications.
Hands-on with
Microsoft Fabric
(Pipelines, Lakehouse, Warehouses) and
Azure
services.
Skilled in
SQL
(T-SQL preferred) and either
Apache Spark
or
Python
for data engineering.
Experience embedding
Power BI
dashboards into web applications.
Familiarity with data governance tools like
Microsoft Purview
and security best practices.
Experience & Qualifications
Proven experience in combined full-stack and data engineering roles.
Proven track record of delivering integrated, data-driven applications.
Experience with
Microsoft Azure
(essential); Financial Services or Wealth Management background would be an advantage.
A degree in a relevant subject would be a strong advantage.
Personal Attributes
Strong collaboration and communication skills.
A "data meets product" mindset with excellent problem-solving ability.
Comfortable in a fast-paced, agile delivery environment.
High attention to detail and personal integrity.
What's In It For You?
28 days holiday
+ bank holidays
Flexible hybrid working
Early Friday finish
at 2:15pm
Birthday day off
Income protection
(up to 5 years)
MediCash
benefits (24/7 GP access, retail discounts)
4x salary
death-in-service cover
5% employer-matched pension
Access to the
Radiant Academy
for career development
Performance-based bonus scheme
Please note: All applicants must be willing to undergo background screening, including police and bankruptcy checks.
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