2 of 2 Permanent Technical Leadership Jobs in York

support the deployment of AI, machine learning, and advanced analytics across the organisation. We are looking 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 … 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 as Alteryx, AWS Athena, Quicksight, Sagemaker, Tableau, and Power BI. Excellent communication and stakeholder management More ❯

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 with data owners, security officers, and project stakeholders to capture requirements and ensure … practice, reusability, and consistent standards across the data landscape. Troubleshoot and resolve data pipeline issues, identifying long-term solutions to recurring challenges. Help grow a strong data culture through technical leadership, training, and cross-team collaboration. Key Requirements: Essential: 3+ years' experience in a Data Engineering role, delivering high-quality, reusable data pipelines. Strong experience working within AWS More ❯