About this role
Salary: £68,000 - 108,000 per year
Requirements: Banking experience requiredHands-on experience with Databricks, Spark/PySpark, Python, and SQLExperience developing and maintaining data pipelines and data processing systemsUnderstanding of the data lifecycle, including ingestion, transformation, storage, and consumptionKnowledge of cloud platforms, especially AWS, and distributed data processingExperience with SDLC practices including CI/CD, testing, and deploymentStrong problem-solving skills and ability to troubleshoot data and pipeline issuesAbility to collaborate effectively within agile teams and across stakeholdersHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and securityUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectationsPreferred: Experience with Databricks lakehouse, Databricks Genie, Delta Lake, and medallion architecture Responsibilities: Develop workflows and ELT data pipelines using Python, Spark/PySpark, and DatabricksOnboard enterprise datasets into Palmos, including ingestion, transformation, and validation of data assetsBuild, test, and maintain scalable data pipelines and data architectures that support enterprise controls and analytics use casesBuild business controls algorithms for communications data to identify anomaliesBuild data completeness and integrity controls for the pipelinesApply data engineering best practices for performance optimization, reliability, and maintainabilityUse SQL extensively and work with both relational and NoSQL data storesPartner with producers to understand data requirements and translate them into production-ready solutionsApply SDLC practices including CI/CD, testing, and operational monitoring to ensure pipeline stabilityContribute to reusable frameworks and standards to accelerate onboarding and pipeline deliveryIdentify data issues, anomalies, and optimization opportunities to improve data quality and performanceLeverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standardsContribute learnings and reusable patterns to improve broader team effectiveness Technologies: AIAWSCI/CDCloudDatabricksSupportNoSQLPythonPySparkSQLSecuritySpark More:
We are hiring a Senior Data Engineer for our Enterprise Platforms team. You will join an agile team focused on enterprise communication data and building scalable data pipelines on the Palmos platform for regulatory controls. This is a banking role with no remote working permitted, requiring 5 days on site. The contract rate is £450 to £475 per day inside IR35, and sponsorship is not provided. You will work with domain teams, platform engineering, and operations partners to deliver high-quality curated datasets aligned to our data mesh architecture and Palmos platform standards, while helping advance our data capabilities and drive innovation.
last updated 33 week of 2026