Glasgow, Lanarkshire, Scotland, United Kingdom Hybrid / WFH Options
Hays Specialist Recruitment Limited
data migration, process mapping, system configuration, user testing, and stakeholder engagement.Key responsibilities include: Configuring and customising the new finance system, including reporting structures and system interfaces. Supporting data cleansing, validation, and reconciliation of legacy financial data. Designing standard reporting templates and stationery. Coordinating system installation and development activities. Ensuring system integrity through control reconciliations and data checks. Liaising with software More ❯
the release pipeline. Build automated test suites (functional, regression, integration, and performance). Analyze post-release issues, create automation solutions to prevent recurrence, and continuously improve reliability. Enhance monitoring, validation, and quality checks across the CI/CD pipeline. Contribute to technical documentation, code reviews, and best practices for automation development. Requirements: Proficiency in Java with hands-on coding experience. More ❯
cost-efficiency of Databricks workloads. Develop and maintain CI/CD workflows for Databricks using GitLab or similar tools. Ensure data quality and reliability through robust unit testing and validation frameworks. Implement best practices for data governance, security, and access control within Databricks. Provide technical mentorship and guidance to junior engineers. Must-Have Skills: Strong hands-on experience with Databricks … Functions, Athena, IAM, and VPC. Proficiency in Python for data engineering tasks. Familiarity with GitLab for version control and CI/CD. Strong understanding of unit testing and data validation techniques. Preferred Qualifications: Experience with Databricks Delta Lake, Unity Catalog, and MLflow. Knowledge of CloudFormation or other infrastructure-as-code tools. AWS or Databricks certifications. Experience in large-scale data More ❯
of Databricks workloads. . Develop and maintain CI/CD workflows for Databricks using GitLab or similar tools. . Ensure data quality and reliability through robust unit testing and validation frameworks. . Implement best practices for data governance, security, and access control within Databricks. . Provide technical mentorship and guidance to junior engineers. Must-Have Skills: . Strong hands-on … and VPC. . Proficiency in Python for data engineering tasks. . Familiarity with GitLab for version control and CI/CD. . Strong understanding of unit testing and data validation techniques. Preferred Qualifications: . Experience with Databricks Delta Lake, Unity Catalog, and MLflow. . Knowledge of CloudFormation or other infrastructure-as-code tools. . AWS or Databricks certifications. . Experience More ❯
