Quilter oversees £141.2 billion in customer investments (as of December 2025). 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: 5
Department: CDO
Location: Southampton or London
Contract type: Permanent
The role sits within the Chief Data Office (CDO) and reports to the Head of Data Platforms.
This role accelerates Quilter’s data strategy by defining engineering standards, building scalable data platforms, and leading a high‑performing data engineering team. The Data Engineering Manager plays a pivotal role in delivering business value through enabling actionable insights. This position partners with colleagues and stakeholders across the organisation to transform raw data into usable, reliable, high‑quality data products. The role requires a blend of technical expertise, business acumen, and team leadership skills to create a data-driven culture across the organisation.
The key accountabilities for the role are as follows:
Team Management & Growth
- Lead a team of data engineers through coaching, mentorship, and technical guidance
- Support individual career development and performance feedback, creating growth opportunities for your team
- Foster a collaborative, inclusive, and high-performance team culture
Technical Oversight & Delivery
- Defining Data engineering standards and best practices to ensure robust, efficient and secure product delivery.
- Guide the design and implementation of scalable data pipelines and data products
- Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed
- Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices
Cross-Functional Collaboration
- Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritise work
- Work closely with platform and data analysis teams to develop delivery process to continually improve business outcomes
- Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects
- Communicate clearly across technical and non-technical teams to align on priorities and progress
Operational Excellence
- Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response
- Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams
- Drive continuous improvement in development workflows and team productivity
Qualifications
- Degree in a technical discipline (e.g. computer science, engineering, maths, physics) or evidence of equivalent practical experience
Knowledge/Experience:
- Proven experience in managing and growing technical teams within a complex business environment
- Strong technical hand on experience in building and maintaining data pipelines on a Databricks and Fabric environments within Azure
- Experience in implementing batch and stream pipelines in a kappa architecture
- Experience implementing data quality frameworks, SLAs, and observability tooling.
- Familiarity with data governance practices (lineage, cataloguing, access control).
- Ensuring compliance with regulatory requirements (e.g., GDPR, data retention controls).
- Setting technical direction and establishing engineering standards.
- Managing roadmaps, sprint planning, and delivery across multiple projects or squads
- Experience of data engineering across multiple layers and modelling techniques including a Kimball and Data Vault
Skills:
- Strategic thinker with curious mindset and strong problem-solving skills
- Ability to communicate complex concepts in a clear, concise manner
- Databricks: Delta Lake, Unity Catalog, Workflows, Notebooks, Clusters, MLflow.
- Azure: ADLS Gen2, Azure Data Factory, Event Hubs/Kafka, Key Vault, Functions, Synapse.
- Spark: Strong knowledge of Spark internals, optimisation, partitioning, performance tuning.
- Languages: Python, SQL, optionally Scala.
- CI/CD: Azure DevOps pipelines with asset bundles for data engineering deployments.
- Orchestration: ADF, Databricks Workflows, or other scheduling frameworks.
- Knowledge of Data Modelling: Kimball, Data Vault.
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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.
Top Skills
Quilter London, England Office
Senator House, 85 Queen Victoria Street, , England , London, United Kingdom, EC4V 4AB
