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This is a hands-on technical role sitting at the centre of a major enterprise data platform build, with scope to influence architecture, drive pipeline development, and contribute to AI initiatives across a complex, high-volume financial data environment.\nResponsibilities:\nDesign and develop scalable data solutions on a Lakehouse architecture platform, supporting enterprise-wide data processing and analytics\nBuild, optimise, and maintain ETL/ELT pipelines and structured streaming workflows for both batch and real-time data ingestion\nConfigure and tune clusters and Spark jobs to deliver consistent performance at scale\nUtilise Delta Live Tables and Unity Catalog to manage data ingestion, transformation, and access governance\nApply IAM best practices and maintain compliance with data security standards across the platform\nSupport infrastructure provisioning and resource management using Terraform\nImplement monitoring frameworks covering pipeline performance, data quality, and operational health\nContribute to code reviews, technical documentation, and team knowledge-sharing\nWork within an Agile delivery model, collaborating closely with data scientists, analysts, and business stakeholders\nExplore emerging technologies and AI tooling to enhance development productivity and platform capability\nRequirements\n6+ years in data engineering, with at least 2 years hands-on experience with Databricks\nStrong Python and Spark programming skills\nSolid AWS experience across core services including S3, Glue, and Lambda\nDeep understanding of data modelling, SQL, and ETL/ELT design patterns\nExperience with Delta Lake, Lakehouse architecture, and Git-based version control\nDemonstrable use of AI tools within a professional development workflow\nStrong communication skills and the ability to work effectively across technical and non-technical teams\nDesirable:\nFinancial services or fund administration background\nExposure to AI/ML implementation patterns and real-time data processing frameworks\nMulti-cloud experience beyond AWS\nAPI development or data governance framework experience\nExperience mentoring junior engineers\nBenefits\nSalary: to be discussed, depending on experience\nLength: Permanent contract","description_format":"text","description_chars":2357,"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":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Design & Creative","Web Design"],"lifecycle":[{"event":"open","at":"2026-09-10T21:53:33Z"}],"visa":[],"liveness":{"score":48,"band":"ok","label":"Likely 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