About this role
Salary: £95,000 - 95,000 per year
Requirements: Experienced Data Engineer or Data Engineering Lead with experience building and operating complete data platformsExperience with batch processing, data warehousing, ELT and orchestrationExperience with modern streaming technologies such as Flink or comparable platformsProduction AWS data engineering experience, including services such as S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatchExperience with lakehouse architectures, open table formats such as Iceberg, medallion-style data layering and dimensional modellingStrong SQL and Python development skillsExperience with infrastructure as code using Terraform, CI/CD, automated testing and modern engineering practicesExperience with SQL Server, SSIS/SSDT and Power BIExperience with semantic models, shared metrics and data glossariesExperience with data governance, retention, lineage, classification and auditabilityExperience managing, mentoring or developing Data EngineersConfidence making architectural decisions, leading change and assessing when existing technology should be evolved or replacedAbility to use advanced AI coding assistants, such as Claude Code or equivalent tools, while maintaining appropriate quality and security controlsDesirable: experience in financial services or another regulated environmentDesirable: PySpark experience for large-scale batch or streaming transformationsDesirable: experience migrating SQL Server and SSIS estates to lakehouse or metadata-driven architecturesDesirable: experience with Customer Data Platforms or event-driven systemsDesirable: experience with data-quality tools such as dbt tests or Great ExpectationsDesirable: experience with MCP servers or governed natural-language data interfacesDesirable: experience with financial crime, fraud or regulatory-reporting dataDesirable: Power BI administration and semantic modelling experience Responsibilities: Own the reliability, security and evolution of our data platformModernise our existing SQL Server, SSIS/SSDT and Power BI environmentDevelop scalable batch and real-time data-processing capabilitiesLead the design of a Customer Data PlatformBuild and evolve a modern AWS lakehouse architectureCreate governed semantic models, consistent metrics and clear data definitionsEnable secure, self-service data analysis through modern AI toolsAutomate manual, repetitive and fragile data processesSupport BI, Data Science, Machine Learning and Applied AI teams through a unified platformOwn data governance, platform security, monitoring and operating costsManage, develop and help grow our Data Engineering teamWork closely with technical leaders and senior stakeholders across our organisation Technologies: AIAWSLambdaBusiness IntelligenceCI/CDClaude CodeCloudWatchFlinkIAMSupportMachine LearningMCPPower BIPythonPySparkSQLSecuritySSISTerraformdbtCloud More:
We are an established financial services organisation seeking a hands-on Data Engineering Lead to take ownership of our existing data estate and deliver a modern platform supporting Business Intelligence, Data Science and Applied AI. This influential role combines technical leadership, platform ownership and line management. You will lead a small team while remaining involved in architecture, technology selection and engineering delivery. You will have the opportunity to shape how we use data and AI, introduce modern technologies, develop our engineering team and build a platform for future analytics, AI products and strategic decision-making. The role is based in Manchester with a hybrid working pattern.
last updated 39 week of 2026