Salford, Lancashire, England, United Kingdom Hybrid / WFH Options
QA
Employer description: Matillion is a fast-growing, cloud-native data integration and transformation company, enabling businesses to build and scale data pipelines across platforms like Snowflake, BigQuery, Redshift, Databricks, and Synapse. With global offices we support leading brands like Cisco, Slack, and TUI in turning data into actionable insight. Recognized as a great place to work in both the More ❯
stakeholders. Ability to influence engineering teams and platform stakeholders through advisory leadership and practical guidance. Experience with data stored and processed in cloud-based platforms, preferably in AWS (e.g., Redshift, S3, AWS Glue). Knowledge of designing and implementing RBAC and ABAC in modern data platforms. DESIRABLE BUT NOT REQUIRED: Management and stewardship of Data Products, ideally with a More ❯
stakeholders through advisory leadership and practical governance guidance. Experience in understanding and working with data stored and processed in cloud-based data platforms, ideally in the AWS ecosystem e.g. Redshift, S3, AWS Glue. Knowledge and experience of designing and implementing Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) in a modern data platform. DESIRED BUT NOT More ❯
Salford, Manchester, United Kingdom Hybrid / WFH Options
BBC Group and Public Services
mentored by a friendly development team, and the BBC will provide many opportunities for learning as you progress. We create and support reliable and scalable cloud-based services on Amazon Web Services, use GitHub for version control and practice pair programming and Test-Driven Development where possible. Hands-on experience with Python development and an understanding of software engineering … best practices (e.g., TDD, clean code principles). Experience of AWS services such as SageMaker, S3, EC2, VPC, Lambda, Redshift Experience of DevOps practices, including containerisation with Docker and CI/CD pipelines. Exposure to MLOps tools (e.g., MLFlow) and practices, with a willingness to learn more. Exposure to infrastructure-as-code tools (CDK, CloudFormation) Knowledge of feature engineering More ❯
