We are working with a leading global Financial Services business to hire a Senior Data Engineer into their growing data engineering practice. 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. Responsibilities: - Design and develop scalable data solutions on a Lakehouse architecture platform, supporting enterprise-wide data processing and analytics - Build, optimise, and maintain ETL/ELT pipelines and structured streaming workflows for both batch and real-time data ingestion - Configure and tune clusters and Spark jobs to deliver consistent performance at scale - Utilise Delta Live Tables and Unity Catalog to manage data ingestion, transformation, and access governance - Apply IAM best practices and maintain compliance with data security standards across the platform - Support infrastructure provisioning and resource management using Terraform - Implement monitoring frameworks covering pipeline performance, data quality, and operational health - Contribute to code reviews, technical documentation, and team knowledge-sharing - Work within an Agile delivery model, collaborating closely with data scientists, analysts, and business stakeholders - Explore emerging technologies and AI tooling to enhance development productivity and platform capability - 6+ years in data engineering, with at least 2 years hands-on experience with Databricks - Strong Python and Spark programming skills - Solid AWS experience across core services including S3, Glue, and Lambda - Deep understanding of data modelling, SQL, and ETL/ELT design patterns - Experience with Delta Lake, Lakehouse architecture, and Git-based version control - Demonstrable use of AI tools within a professional development workflow - Strong communication skills and the ability to work effectively across technical and non-technical teams Desirable: - Financial services or fund administration background - Exposure to AI/ML implementation patterns and real-time data processing frameworks - Multi-cloud experience beyond AWS - API development or data governance framework experience - Experience mentoring junior engineers Salary: to be discussed, depending on experience Length: Permanent contract

Senior Data Engineer

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