{"id":4245610,"url":"https://alion.io/job/quilter-data-engineer","title":"Data Engineer","company":{"id":709168,"name":"Quilter","domain":"quilter.com","url":"https://alion.io/company/quilter-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"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":null,"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":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"Platform Engineering","optional":false},{"name":"CI/CD","optional":true},{"name":"Data Vault","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-13T12:35:31Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T12:35:31Z","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 £160.5 billion in customer investments (as of September 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: COO\nLocation: Southampton or London\nContract type: Permanent\nThe role sits within the Chief Data Office (CDO) and reports to the Data Engineering Manager, with technical oversight and guidance provided by a Lead Data Engineer.\nThe Data Engineer is responsible for designing, developing, testing, deploying, and supporting data solutions that enable trusted, timely, and accessible data across the organisation. The role supports Quilter's data strategy by delivering scalable, secure, and resilient data products and services that underpin reporting, analytics, regulatory obligations, operational processes, and digital capabilities.\nWorking within Agile delivery teams, the Data Engineer collaborates with Product Owners, Business Analysts, Data Analysts, Architects, platform teams, and business stakeholders to transform data requirements into high-quality engineering solutions. The role contributes to the continuous evolution of Quilter's cloud-based data platform, leveraging technologies including Azure Data Factory, Azure Data Lake Storage, Databricks, Azure Key Vault, Azure DevOps, and related Azure services.\nThe successful candidate will demonstrate strong technical capability, a proactive approach to problem solving, a commitment to engineering excellence, and a focus on delivering business value through data.\nKey Accountabilities\nData Solution Development\nDesign, develop, test, and maintain data pipelines, integrations, and data products across the enterprise data platform.\nBuild scalable and reusable solutions for data ingestion, transformation, enrichment, and consumption.\nDevelop and optimise batch, near real-time, and streaming data processing solutions where required.\nEnsure solutions are robust, performant, secure, and maintainable.\nContribute to the delivery of analytical, operational, and regulatory data capabilities.\nData Platform Engineering\nDevelop and maintain solutions using Azure Data Factory, Azure Data Lake Storage, Databricks, Delta Lake, Azure Key Vault, and related Azure technologies.\nSupport the ongoing enhancement of platform capabilities, standards, frameworks, and reusable components.\nImplement infrastructure and configuration changes through automated deployment processes.\nContribute to platform modernisation initiatives and technology adoption activities.\nEngineering Standards & Quality\nFollow established engineering standards, coding practices, and architectural principles.\nMaintain source control and deployment processes using Azure DevOps and Git-based workflows.\nCreate and maintain automated testing and validation processes.\nParticipate in code reviews and peer reviews to promote quality, consistency, and knowledge sharing.\nEnsure solutions are appropriately documented and supportable.\nData Governance, Security & Risk Management\nApply data governance, security, privacy, and retention requirements throughout the engineering lifecycle.\nEnsure data solutions comply with internal policies, regulatory obligations, and security standards.\nSupport implementation of role-based access controls, data classification requirements, and auditability standards.\nContribute to maintaining accurate metadata, lineage, and data quality controls.\nIdentify and escalate operational, security, and data risks where appropriate.\nOperational Support & Reliability\nMonitor and support production data products and services.\nInvestigate and resolve incidents, defects, and performance-related issues.\nParticipate in root cause analysis activities and implement preventative improvements.\nSupport service resilience through monitoring, alerting, automation, and operational best practices.\nContribute to capacity planning, performance tuning, and cost optimisation activities.\nStakeholder Collaboration\nWork closely with Product Owners, Analysts, Architects, Platform Engineers, and business stakeholders to understand requirements and priorities.\nInterpret business requirements and translate them into technical solutions.\nProvide updates on delivery progress, risks, issues, and dependencies.\nSupport user adoption by ensuring solutions are reliable, well-documented, and aligned with business needs.\nContinuous Improvement & Innovation\nIdentify opportunities to improve engineering practices, tooling, automation, and delivery processes.\nStay current with developments across Azure, Databricks, data engineering, and cloud technologies.\nContribute ideas and recommendations to improve platform efficiency, reliability, and scalability.\nParticipate in knowledge sharing, technical communities, and continuous learning activities.\nAbout You\nQualifications\n· Degree in a technical discipline (e.g. Computer Science, Engineering, Mathematics, Physics) or evidence of equivalent practical experience.\n· Relevant industry certifications in Azure, Databricks, Data Engineering, or cloud technologies are desirable but not essential.\nKnowledge & Experience\n·Proven experience as a Data Engineer delivering data pipelines, data integrations, and data products within a cloud-based enterprise environment.\n·Hands-on experience designing, developing, testing, and supporting data solutions using Databricks within Azure.\n·Experience developing batch and near real-time data processing solutions using modern data engineering technologies and patterns.\n·Experience building and maintaining scalable, reliable, and secure data pipelines that support reporting, analytics, data science and operational use cases.\n·Understanding of data quality, validation, monitoring, and observability concepts and their application within data engineering solutions.\n·Knowledge of data governance principles, including data lineage, metadata management, security, and access control practices.\n·Experience working within regulated environments and applying data protection, information security, and data retention requirements.\n·Experience applying engineering standards and development best practices including source control, testing, automation, and CI/CD.\n·Experience contributing to code reviews, peer reviews, and collaborative engineering activities.\n· Knowledge of data modelling concepts, including dimensional modelling, lakehouse architectures, and modern data platform design principles.\n·Experience working within Agile delivery teams and collaborating with architects, analysts, product owners, platform teams, and business stakeholders.\nSkills\n·Strong technical and analytical skills with the ability to develop high-quality, maintainable, and scalable data solutions.\n·Excellent problem-solving capabilities with a structured approach to troubleshooting and resolving technical issues.\n·Strong communication and collaboration skills with the ability to work effectively within cross-functional teams.\n·Databricks: Delta Lake, Unity Catalog, Workflows, Notebooks, Asset Bundles, Delta Live Tables, Spark Declarative Pipelines, and platform optimisation principles.\n·Microsoft Fabric: Awareness of Lakehouse, Data Warehouse, Real-Time Intelligence, Semantic Models, and Fabric engineering concepts.\n·Azure: ADLS Gen2, Azure Data Factory, Azure Key Vault, Azure Monitor, Functions, and broader Azure data services.\n·Spark: Good understanding of distributed processing concepts, Spark performance optimisation, partitioning, and workload tuning.\n·Languages: Strong SQL and Python development skills; experience with additional languages such as Scala is desirable.\n·CI/CD & DevOps: Azure DevOps, Git-based development practices, automated deployments, testing frameworks, and Infrastructure as Code concepts.\n·Orchestration: Databricks Workflows, Azure Data Factory, Fabric Pipelines, and enterprise scheduling frameworks.\n·Data Architecture & Modelling: Understanding of dimensional modelling, Data Vault concepts, medallion architecture, and lakehouse design approaches.\n·Data Governance & Security: Understanding of secure-by-design principles, data governance controls, access management, and operational monitoring practices.\nDesired Attributes\n·Passionate about data engineering, technology, and continuous learning.\n·Demonstrates a proactive approach to problem solving and continuous improvement.\n·Takes ownership of work deliverables and follows tasks through to completion.\n·Collaborative team player who values knowledge sharing and constructive feedback.\n·Committed to delivering high-quality, reliable, and supportable engineering solutions.\n·Curious and adaptable, with a desire to learn new technologies, tools, and engineering practices.\n·Balances technical excellence with a pragmatic, delivery-focused mindset.\n·Demonstrates attention to detail and a strong appreciation for data quality, security, and governance.\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 y...","description_format":"text","description_chars":12352,"description_truncated":true,"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":"2026-11-13T12:35:31Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-11-13T08:07:55+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:1","win:early"],"computed_at":"2026-11-13T14:27:22Z"},"pay":null,"html_url":"https://alion.io/job/quilter-data-engineer","json_url":"https://alion.io/job/quilter-data-engineer.json","meta":{"generated_at":"2026-11-13T14:27:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":28962,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":709168},"rest":"https://alion.io/mcp/rest/get_company?id=709168"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fquilter-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fquilter-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fquilter-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/quilter-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fquilter-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4245610}},{"tool":"search_jobs","arguments":{"company":"quilter.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4245610},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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