{"id":1544064,"url":"https://alion.io/job/quilter-lead-data-engineer","title":"Lead Data Engineer","company":{"id":709168,"name":"Quilter","domain":"quilter.com","url":"https://alion.io/company/quilter-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Southampton, United Kingdom","London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":103000,"max_usd":172000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"Incident Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-30T21:51:20Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T08:31:33Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Business\nQuilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation.Quilter oversees £157.4billion in customer investments (as of June 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.\nAffluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business.\nHigh 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.\nAt 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.\nOur 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\nAbout the Role\nLevel: 4\nDepartment: CDO\nLocation: Southampton or London\nContract type: Permanent\nThe role sits within the Chief Data Office (CDO) and reports to the Data Engineering Manager.\nThis role accelerates Quilter's data strategy by providing deep, technical leadership across one or more data domains; defining engineering standards, and delivering robust, scalable and secure solutions.\nThe Lead Data Engineer plays a pivotal role in enabling business value through the design, development, and continuous improvement of data products and platforms that support actionable insights across the organisation.\nWorking closely with engineers, architects, analysts, platform teams, and business stakeholders, the Lead Data Engineer is responsible for translating business requirements into robust technical solutions while driving engineering best practices and fostering a culture of technical excellence. The role requires deep technical expertise, strong problem-solving capabilities, and the ability to influence and guide both technical and non-technical stakeholders.\nThe key accountabilities for the role are as follows:\nTechnical Leadership & Domain Ownership\nProvide technical leadership for one or more data domains, acting as the primary engineering authority and subject matter expert.\nDefine, champion, and evolve data engineering standards, patterns, and best practices to ensure robust, efficient, secure, and maintainable solutions.\nLead solution design activities and guide the implementation of scalable data pipelines, data products, and platform capabilities.\nReview code, architecture, and engineering approaches to ensure consistency, quality, and alignment with strategic objectives.\nRemain hands-on when required, supporting the resolution of complex technical challenges and critical delivery issues.\nEngineering Delivery\nLead the technical delivery of key initiatives and ensure solutions are delivered to a high standard, meeting business requirements and engineering principles.\nTranslate business and product requirements into detailed technical designs and implementation plans.\nCollaborate with Data Engineering Managers, Product Owners, Architects, and stakeholders to prioritise and deliver work effectively.\nDrive adoption of modern engineering practices including automation, testing, CI/CD, source control, observability, and infrastructure-as-code.\nContribute to roadmap planning by identifying technical opportunities, risks, dependencies, and improvement initiatives.\nMentoring & Capability Development\nProvide coaching, mentoring, and technical guidance to data engineers across the team.\nSupport the development of engineering capability through knowledge sharing, technical reviews, pair programming, and communities of practice.\nPromote a collaborative and inclusive engineering culture focused on quality, learning, and continuous improvement.\nAct as a role model for engineering excellence and professional standards.\nCross-Functional Collaboration\nPartner with product managers, analysts, data scientists, platform teams, and business\nstakeholders to understand requirements and deliver valuable outcomes.\nWork closely with architecture, platform, and governance teams to ensure solutions align with enterprise standards and strategic direction.\nCommunicate technical concepts clearly to both technical and non-technical audiences.\nInfluence decision-making by providing expert technical advice and recommendations.\nOperational Excellence\nPromote operational stability, reliability, and performance of data products and pipelines through monitoring, alerting, automation, and incident management practices.\nChampion high standards of data quality, security, governance, and regulatory compliance.\nIdentify and implement opportunities to improve platform efficiency, engineering productivity, and service resilience.\nSupport root cause analysis and continuous improvement activities to enhance operational performance and service reliability.\nAbout You\nQualifications\nDegree in a technical discipline (e.g. computer science, engineering, maths, physics) or evidence of equivalent practical experience\nKnowledge\nProven experience as a senior or lead data engineer within a complex enterprise environment, delivering large-scale data solutions.\nStrong hands-on experience designing, developing, and supporting data platforms and pipelines using Databricks within Azure.\nExperience implementing both batch and real-time data processing solutions, including event-driven and streaming architectures.\nDemonstrable experience leading the technical design and delivery of data products and platform capabilities across one or more business domains.\nExperience implementing and promoting data quality frameworks, service level objectives (SLOs), data contracts, and observability tooling.\nStrong understanding of data governance principles, including data lineage, metadata management, cataloguing, security, and access controls.\nExperience ensuring compliance with regulatory and organisational requirements, including GDPR, data retention, and information security controls.\nProven ability to define technical standards, engineering patterns, and best practices and drive their adoption across engineering teams.\nExperience mentoring and coaching engineers, conducting code reviews, and promoting engineering excellence.\nStrong experience designing and implementing data models across multiple architectural layers, including Kimball dimensional modelling and Data Vault methodologies.\nExperience working within Agile delivery teams and collaborating with architects, product owners, analysts, and business stakeholders to deliver business outcomes.\nSkills\nStrong technical leadership skills with the ability to influence engineering direction and drive best practices across teams.\nStrategic thinker with a curious mindset, strong analytical capability, and a passion for continuous improvement.\nExcellent problem-solving skills with the ability to resolve complex technical challenges and make sound engineering decisions.\nStrong communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.\nDatabricks: Delta Lake, Unity Catalog, Workflows, Asset Bundles, Notebooks, Compute Management, Delta Live Tables, Spark Declarative Pipelines and platform optimisation.\nMicrosoft Fabric: Lakehouse, Data Warehouse, Real-Time Intelligence, Semantic Models, and Fabric administration concepts.\nAzure: ADLS Gen2, Azure Data Factory, Key Vault, Functions, Azure Monitor, and broader Azure data services.\nSpark: Deep understanding of Spark internals, distributed computing principles, optimisation techniques and features, performance tuning.\nLanguages: Advanced Python and SQL development skills; Scala experience beneficial.\nCI/CD & DevOps: Azure DevOps, Git-based development workflows, Infrastructure as Code, automated testing, and deployment automation.\nOrchestration: Databricks Workflows, Azure Data Factory, Fabric pipelines, and other enterprise scheduling and orchestration frameworks.\nData Architecture & Modelling: Strong knowledge of Kimball, Data Vault, medallion architecture, and modern lakehouse design patterns.\nData Governance & Security: Experience implementing secure-by-design data solutions, platform governance controls, and operational monitoring practices.\nDesired Attributes\nPassionate about engineering excellence and continuous learning.\nActs as a trusted technical advisor and subject matter expert within their domain.\nProactively identifies opportunities to improve platform capability, performance, reliability, and security.\nCollaborative and supportive team player who enjoys mentoring others and sharing knowledge.\nTakes ownership and accountability for technical outcomes while maintaining a pragmatic delivery-focused approach.\nInclusion & Diversity\nWe 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.\nValues\nDo 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.\nAlways 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.\nEmbrace 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.\nStronger 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.\nCore Benefits\nHoliday: 182 hours (26 days)\nQuilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution.\nPension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions.\nPrivate Medical Insurance: Single cover as standard with options to increase cover to include your partner or children.\nLife Assurance: 4x your salary.\nIncome Protection: 75% of salary, less state benefits, payable after 26 weeks of absence.\nHealthcare Cash Plan: Jersey employees only\nIn 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.","description_format":"text","description_chars":11498,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds"],"lifecycle":[{"event":"open","at":"2026-09-30T21:51:20Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":17,"reasons":["conf:7","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/quilter-lead-data-engineer","json_url":"https://alion.io/job/quilter-lead-data-engineer.json","meta":{"generated_at":"2026-10-01T20:11:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2821,"day_limit":5000,"remaining_today":2179,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}