At a Glance
- Tasks: Lead a team to build scalable data platforms and transform raw data into actionable insights.
- Company: Join Quilter, a leading wealth management business with a focus on innovation.
- Benefits: Enjoy competitive salary, private medical insurance, and a generous holiday allowance.
- Other info: Collaborative culture with excellent career growth opportunities and a commitment to diversity.
- Why this job: Be part of a dynamic team driving data strategy and making a real impact.
- Qualifications: Degree in a technical field or equivalent experience; strong leadership and technical skills required.
The predicted salary is between 70000 - 90000 £ per year.
Quilter plc is a leading wealth management business, helping to enable brighter financial futures for everyone. 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 a 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.
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.
About You
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 hands-on experience in building and maintaining data pipelines on a Databricks and Fabric environment 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.
- 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.
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.
- Embrace challenge: We aim high to transform our potential into meaningful outcomes.
- Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone.
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.
Data Engineering Manager - Quilter in Southampton employer: Energy Jobline ZR
Quilter plc is an exceptional employer, offering a dynamic work environment in Southampton where innovation and collaboration thrive. With a strong focus on employee growth, the company provides extensive career development opportunities, a supportive team culture, and a comprehensive benefits package that includes generous holiday allowance, private medical insurance, and a robust pension scheme. Join us to be part of a forward-thinking organisation that values integrity, curiosity, and teamwork, all while making a meaningful impact on the financial futures of our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager - Quilter in Southampton
✨Tip Number 1
Network like a pro! Reach out to current employees at Quilter on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by researching Quilter’s values and recent projects. Show us how your skills align with their mission to create brighter financial futures. Tailor your examples to highlight your experience in data engineering.
✨Tip Number 3
Practice your technical skills! Be ready to discuss your hands-on experience with data pipelines and tools like Databricks and Azure. We want to see how you tackle real-world challenges, so brush up on those problem-solving skills.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression. It shows us that you’re genuinely interested in the role and appreciate the opportunity to connect.
We think you need these skills to ace Data Engineering Manager - Quilter in Southampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineering Manager role. Highlight your experience with data pipelines, team management, and any relevant technical skills. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to Quilter's mission. Be bold and let your personality come through!
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise in tools like Databricks and Azure. We’re keen on seeing how you’ve applied these skills in real-world scenarios, so share specific examples that demonstrate your capabilities.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Quilter!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your Data Engineering Stuff
Make sure you brush up on your technical skills, especially around data pipelines and the tools mentioned in the job description like Databricks and Azure. Be ready to discuss your hands-on experience with building and maintaining data solutions, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to lead a team. Prepare examples of how you've successfully managed and grown technical teams in the past. Think about specific instances where you provided mentorship or fostered a collaborative culture, and be ready to share these stories during the interview.
✨Understand Quilter's Business Goals
Familiarise yourself with Quilter's mission and values. Understand how the data engineering role fits into their broader strategy of enabling brighter financial futures. This will help you align your answers with their goals and demonstrate that you're not just looking for a job, but are genuinely interested in contributing to their success.
✨Prepare for Cross-Functional Collaboration
Since this role involves working with various stakeholders, think about how you've successfully collaborated with product managers, data scientists, and other teams in the past. Be ready to discuss how you translate business needs into actionable plans and ensure timely delivery of projects, as this will show your ability to communicate effectively across different teams.
