Robert Half have patterned with a FTSE-listed organisation within the financial services sector seeking an experienced Data Engineer to join a leading This role will focus on designing, developing, and deploying solutions on AWS, with a strong emphasis on data modelling, cloud data pipelines, and large-scale data processing. Responsibilities:<ul data-spread="false"><li>Design and implement scalable data solutions using AWS cloud services.</li><li>Build, optimise, and maintain data pipelines using Python, Spark, and AWS native tools.</li><li>Develop and refine data models to support business intelligence, reporting, and advanced analytics.</li><li>Collaborate with stakeholders across engineering, product, and business teams to deliver high-quality data solutions.</li><li>Provide technical guidance on data architecture, frameworks, and standards.</li><li>Support integration, testing, and deployment of new data solutions.</li><li>Ensure data solutions meet regulatory and security requirements relevant to financial services.</li></ul>Requirements:<ul data-spread="false"><li>Proven experience as a Data Engineer within large, complex environments (preferably FTSE-listed or enterprise-scale organisations).</li><li>Strong expertise in AWS data engineering stack (Lambda, Glue, Glue Data Catalog, EMR serverless, API Gateway, S3).</li><li>Hands-on experience with data modelling and building data lakehouse/medallion architectures.</li><li>Strong proficiency in Python for developing clean, maintainable, and scalable data pipelines.</li><li>Solid experience with Spark (PySpark) for distributed data processing.</li><li>Familiarity with Aurora Postgres or other relational databases (query performance tuning, schema design).</li><li>Background in financial services or exposure to regulatory/compliance-driven environments.</li><li>Excellent problem-solving skills, proactive, and capable of working independently.</li></ul><ul data-spread="false"><li>Knowledge of table formats such as Iceberg.</li><li>Experience with QA/test automation for data solutions.</li><li>Exposure to data governance and observability frameworks.</li></ul>Contract Details:<ul data-spread="false"><li>Location: London (2-3 days per week in-office, hybrid working)</li><li>Contract Type: PAYE (paid on a daily rate)</li><li>Duration: Initial 15 months </li></ul>Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice.<img src="https://counter.adcourier.com/YW5kcmUuZ2FyZGVuZXJtY2ZhcmxhbmUuNjU4ODcuMTA5MjNAcmhpLmFwbGl0cmFrLmNvbQ.gif">

London, London
remote
Contract
400 - 500 GBP / Yearly
Robert Half have patterned with a FTSE-listed organisation within the financial services sector seeking an experienced Data Engineer to join a leading This role will focus on designing, developing, and deploying solutions on AWS, with a strong emphasis on data modelling, cloud data pipelines, and large-scale data processing. Responsibilities:<ul data-spread="false"><li>Design and implement scalable data solutions using AWS cloud services.</li><li>Build, optimise, and maintain data pipelines using Python, Spark, and AWS native tools.</li><li>Develop and refine data models to support business intelligence, reporting, and advanced analytics.</li><li>Collaborate with stakeholders across engineering, product, and business teams to deliver high-quality data solutions.</li><li>Provide technical guidance on data architecture, frameworks, and standards.</li><li>Support integration, testing, and deployment of new data solutions.</li><li>Ensure data solutions meet regulatory and security requirements relevant to financial services.</li></ul>Requirements:<ul data-spread="false"><li>Proven experience as a Data Engineer within large, complex environments (preferably FTSE-listed or enterprise-scale organisations).</li><li>Strong expertise in AWS data engineering stack (Lambda, Glue, Glue Data Catalog, EMR serverless, API Gateway, S3).</li><li>Hands-on experience with data modelling and building data lakehouse/medallion architectures.</li><li>Strong proficiency in Python for developing clean, maintainable, and scalable data pipelines.</li><li>Solid experience with Spark (PySpark) for distributed data processing.</li><li>Familiarity with Aurora Postgres or other relational databases (query performance tuning, schema design).</li><li>Background in financial services or exposure to regulatory/compliance-driven environments.</li><li>Excellent problem-solving skills, proactive, and capable of working independently.</li></ul><ul data-spread="false"><li>Knowledge of table formats such as Iceberg.</li><li>Experience with QA/test automation for data solutions.</li><li>Exposure to data governance and observability frameworks.</li></ul>Contract Details:<ul data-spread="false"><li>Location: London (2-3 days per week in-office, hybrid working)</li><li>Contract Type: PAYE (paid on a daily rate)</li><li>Duration: Initial 15 months </li></ul>Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice.<img src="https://counter.adcourier.com/YW5kcmUuZ2FyZGVuZXJtY2ZhcmxhbmUuNjU4ODcuMTA5MjNAcmhpLmFwbGl0cmFrLmNvbQ.gif">
2025-09-24T16:42:17Z