Data Platform Engineer

About the Business

Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation.

Quilter oversees £141.9 billion in customer investments (as at March 2026). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth.

Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business.

High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning – offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands.

At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues.

Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it’s the perfect time to join us!

About the Role

Level: 4

Department: COO

Location: Southampton or London

Contract type: Permanent

The role sits within the Chief Data Office (CDO) and reports to the  Data Platform Manager.

The Data Platform Engineer plays a pivotal role in delivering business value through enabling the organisation to create business value through data.

This position collaborates with colleagues and stakeholders across the organisation to provide the tools and capability enabling Data Engineering, Reporting, Advanced Analytics, Machine Learning and Gen AI.

The role requires a blend of technical  expertise, business acumen, and collaboration to create platform features which promote a data-driven culture across the organisation.

The key accountabilities for the role are as follows:

Technical Delivery

• Design and Implement cloud-native data platforms capabilities that support federated use cases across data engineering, BI/reporting, advanced analytics, and AI/ML workloads.

• Deliver solutions which align to cloud platform engineering standards, patterns, and best practices to ensure consistency, reliability, and cost-efficiency.

• Ensure delivery of robust, reusable, and well-documented platform components aligned to business objectives and modern engineering practices (e.g., IaC, CI/CD, DevOps).

• Embed security-by-design principles into all platform components, including identity, access control, encryption, and network security.

Cross-Functional Collaboration

• Partner with product managers, data engineers, analysts, data scientists, and business stakeholders to understand requirements and prioritise platform capabilities.

• Collaborate with cloud engineering, security, and enterprise architecture teams to align with broader technology strategy and platform roadmap.

• Work closely with platform tenant teams to design and continuously improve onboarding, delivery processes, and self-service capabilities.

• Translate business and analytical needs into clear, actionable engineering plans and deliverables.

• Communicate effectively with both technical and non-technical stakeholders to ensure alignment on priorities, risks, and progress

 Operational Excellence

• Ensure high availability, performance, and reliability of cloud data platforms through proactive monitoring, alerting, and incident management.

• Drive continuous improvement in deployment pipelines, development workflows, and engineering productivity.

• Support platform observability through logging, metrics, and tracing to enable rapid troubleshooting and insights.

About You

Qualifications

• Degree in a technical discipline (e.g. computer science, engineering, maths, physics) or evidence of equivalent practical experience

Knowledge/Experience:

• Strong technical hands on experience in designing, building and maintaining data platforms in an Azure, Databricks and Fabric ecosystem

• Experience in delivering and supporting federated data capabilities with clear standards and guardrails

• Experience in automating solution delivery through IAC and deployment pipeline to ensure stability, resilience and efficiency.

• Experience implementing monitoring, logging, and alerting and improving platform reliability, resilience, and performance.

• Understanding of cloud security best practices and experience implementing secure data access patterns and privacy controls

Skills:

• Strategic thinker with curious mindset and strong problem-solving skills

• Ability to communicate complex concepts in a clear, concise manner

• Languages: Terraform, Python, SQL, PowerShell.

• CI/CD: Azure DevOps pipelines for data platform deployments.

• Databricks: Delta Lake, Unity Catalog, Workflows, Notebooks, Clusters, MLflow.

• Azure: ADLS Gen2, Azure Data Factory, Event Hubs/Kafka, Key Vault, Functions, Synapse. AI Foundry, Networking, APIM Knowledge, Azure App Service, App Service Plan Deployment and Configuration, Integration with Azure bot Services

• MS Fabric: Tenant Management, Workspace Private Links, Deployment, Capacity Management, Workspace Management, One Lake, Data Mirroring, Power BI

• AI Foundry : Model management, Hosted Agents Deployment and Management , Project Configuration (Connections and Governance ) and lifecycle management.

#LI-PM1

Inclusion & Diversity

We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive.

Values

Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities. Always curious: We continuously seek new ideas and knowledge so we’re one step ahead of our clients’ needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures. Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation. Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions.

Core Benefits

Holiday: 182 hours (26 days)

Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution.

Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions.

Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children.

Life Assurance: 4x your salary.

Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence.

Healthcare Cash Plan: Jersey employees only

In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction.