2 of 2 Contract Data Validation Jobs in Glasgow

Sr.Databricks Engineer (AWS) Location: Glasgow Duration: 31/12/2026 Days on site: 2-3 Rate: £402/day on Umbrella Role Description: We are currently migrating our data pipelines from AWS to Databricks, and are seeking a Senior Databricks Engineer to lead and contribute to this transformation. This is a hands-on engineering role focused on designing … building, and optimizing scalable data solutions using the Databricks platform. Key Responsibilities: Lead the migration of existing AWS-based data pipelines to Databricks. Design and implement scalable data engineering solutions using Apache Spark on Databricks. Collaborate with cross-functional teams to understand data requirements and translate them into efficient pipelines. Optimize performance and 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 More ❯

Role Title: Sr.Databricks Engineer Location: Glasgow Days on site: 2-3 Pay Rate: £405 per day MUST BE PAYE THROUGH UMBRELLA Role Description: We are currently migrating our data pipelines from AWS to Databricks, and are seeking a Senior Databricks Engineer to lead and contribute to this transformation. This is a hands-on engineering role focused on designing, building … and optimizing scalable data solutions using the Databricks platform. Key Responsibilities: . Lead the migration of existing AWS-based data pipelines to Databricks. . Design and implement scalable data engineering solutions using Apache Spark on Databricks. . Collaborate with cross-functional teams to understand data requirements and translate them into efficient pipelines. . Optimize performance and … 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 More ❯