About this role
Salary: £61,000 - 101,000 per year
Requirements: Deep expertise designing and building scalable data pipelines and data products in cloud environmentsStrong hands-on experience with Databricks, Spark, SQL, and PythonExperience developing and optimizing batch and real-time data processing solutionsStrong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional modelling, and data product design principlesExperience implementing Infrastructure as Code using tools such as Terraform or CloudFormationExperience leading technical delivery teams and mentoring data engineersStrong stakeholder management skills with the ability to translate business requirements into scalable technical solutionsExperience implementing data governance, data quality, security, and operational controls within enterprise platformsStrong understanding of software engineering best practices including version control, CI/CD, automated testing, and code review processesExperience working in Agile product delivery environments and collaborating across cross-functional teamsDemonstrated ability to drive technical decision-making and influence architecture directionProficiency using AI-assisted development tools such as Claude Code, Codex, GitHub Copilot, or equivalent tools to improve engineering productivity and qualityExperience in data analytics, programming, database administration, or data managementExperience delivering Financial Services, Wealth Management, Asset Management, or Investment platform data solutionsExperience working with AWS-native data services and event-driven architecturesExperience building data products that support analytics, reporting, machine learning, or AI use casesKnowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patternsExperience leading distributed engineering teamsExperience establishing engineering standards, reusable frameworks, and community-of-practice initiativesKnowledge of data mesh, domain-driven design, and product-centric operating models Responsibilities: Lead the technical design, development, and evolution of data products that support business decision-making across Financial Advice Services, Marketing, Operations, Risk, and other key business functionsLead a team of data engineers while partnering closely with Product Managers, Data Analysts, Architects, and business stakeholdersWrite ETL processes, design database systems, and develop tools for real-time and offline analytic processingTroubleshoot software and processes for data consistency and integrityIntegrate complex, large-scale data from a variety of sources for business partners to generate insight and make decisionsTranslate business specifications into design specifications and codeWrite complex programs, ad hoc queries, and reportsEnsure that all code is well structured, includes sufficient documentation, and is easy to maintain and reusePartner with internal clients to gain an expert understanding of business functions and informational needsWork closely with other technical and data analytics experts across the business to implement data solutionsLead all phases of solution developmentExplain technical considerations in meetings, including those with internal clients and less experienced team membersAssess data quality and test code thoroughly for accuracy of intended purposeProvide data analysis guidance and serve as a technical consultant for the clientEducate and develop junior data engineers while applying quality control to their workDevelop data engineering standards and contribute expertise to other data expert teams across VanguardTest and implement new software releases through regression testingIdentify issues and engage with vendors to resolve and elevate software into production Technologies: Agentic AIAIAWSCI/CDClaude CodeCloudCopilotData VaultDatabricksETLGitHubSupportLESSMachine LearningMarketingMLOpsPythonSQLSecuritySparkTerraform More:
hackajob is partnering directly with Vanguard to hire for this Data Engineering Technical Lead role within the Chief Data & Analytics Office. We are shaping and delivering Vanguard Europes data and analytics capabilities in a modern cloud-based environment leveraging Databricks, AWS, and Infrastructure as Code. This is a hybrid position requiring office attendance 3 days per week (Tuesday, Wednesday, and Thursday). We are not offering visa sponsorship for this position. We are a different kind of investment company, founded in 1975 on a simple idea: that an investment company should manage its funds solely in the interests of its clients. Our philosophy is to provide value to investors through low-cost, uncomplicated investments. We are committed to diversity and inclusion, and we believe building diverse, inclusive, and highly effective teams helps us better serve our clients, crew, and communities. Our hybrid working model supports flexibility, in-person learning, collaboration, and connection while helping us deliver on our mission to take a stand for all investors, treat them fairly, and give them the best chance for investment success.
last updated 39 week of 2026