2 of 2 Data Lake Jobs in York

future of data within the business, designing and maintaining robust data pipelines and curated data products within a cloud-based data lake environment. You will play a key role in embedding data engineering best practices, supporting colleagues across the data community, and ensuring the delivery of impactful … power analytics, machine learning, and operational efficiencies. Key Responsibilities: Design, develop and maintain data pipelines and data assets within an AWS-based data lake architecture (S3, Glue, Lake Formation). Act as the technical subject matter expert on data engineering, offering in-house consultancy support to multiple business areas. Engage … SageMaker, QuickSight). Strong documentation, communication, and stakeholder management skills. Adept at managing multiple priorities in a fast-paced environment, with strong attention to detail. Desirable: Familiarity with AWS Lake Formation and real-time streaming tools (e.g., AWS Kinesis/Firehose). Experience within the transport, travel, or leisure industries. Knowledge of AWS Redshift and traditional data More ❯

for a hands-on, highly skilled individual who can set direction and bring technical leadership to a growing team. You'll be managing a cloud-based data lake, designing reusable data assets, and fostering a data-first culture in a dynamic and impactful environment. Key Responsibilities Act as Technical Lead for the central … Data Services team, ensuring delivery of high-quality, scalable data pipelines. Manage and evolve the organisations AWS-based data lake and catalogue. Champion and embed best practices in data ownership, reusability, and governance. Contribute to the organisation's Data Centre of Excellence and provide strategic input on data … data assets. Key Requirements Essential: Demonstrable experience leading the delivery of robust and reusable data pipelines using AWS technologies such as S3, Glue, Lambda, and Lake Formation. Proficiency in Terraform, GitHub, and VS Code for pipeline deployment. Proven leadership in developing high-performing data teams. Strong SQL and familiarity with analytics tools such More ❯