Our client, a leading Financial Services organisation based in the heart of The City, London is seeking a highly skilled and experienced Lead Data Engineer to oversee their data infrastructure and lead their data engineering team. The ideal candidate will have extensive experience in designing, building, and maintaining scalable data pipelines on Amazon Web Services (AWS). You will play a crucial role in architecting and implementing robust data solutions that support our business objectives. Key Responsibilities: Lead and mentor a team of data engineers, providing guidance, setting goals, and fostering professional growth. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data needs and ensure data solutions align with business objectives. Establish and enforce best practices for data engineering, including coding standards, code reviews, and documentation. Design, implement, and manage scalable, robust, and secure data pipelines and ETL processes using AWS services. Architect data storage solutions, including data lakes, data warehouses, and relational databases on AWS. Develop and maintain automated data ingestion, transformation, and processing workflows. o Ensure data quality, integrity, and consistency across all data systems. Implement and maintain data mesh architecture to enable decentralised data ownership and scalability. Utilise AWS services such as S3, Step functions, RDS, Glue, Lambda, and others to build and optimise data pipelines. Implement data security measures and ensure compliance with industry standards and regulations. Monitor and manage cloud infrastructure costs, optimising for performance and cost efficiency. Manage and optimise data lakehouse environments, particularly using Dremio software. If you are interested and have the relevant experience, please apply promptly and I will contact you to discuss further. ADZN1_UKTJ