2 of 2 Permanent Data Integration Jobs in South Yorkshire

Senior Data Engineer, Databricks (Mid Level roles also available), £ 50000 - 65000 + benefits. SQL Performance Tuning, Databricks. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks is required for this role. Knowledge of the finance sector or energy sector is an advantage. Expanding SaaS product company are looking for a number … of Data Engineers as they continue to grow. In these hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code. … Responsibilities include - Work with the Data Architects and Data team to determine technical delivery and functionality. Design data solutions based on optimal performance, scalability and reliability. Create, optimise and maintain logical and physical data models, including data warehouses and data lakes. Design and manage the data integration process. Work with the team More ❯

Senior Data Engineer, Databricks (Mid Level roles also available), £ 50000 - 65000 + benefits. SQL Performance Tuning, Databricks. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks is required for this role. Knowledge of the finance sector or energy sector is an advantage. Expanding SaaS product company are looking for a number … of Data Engineers as they continue to grow. In these hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code. … Responsibilities include - Work with the Data Architects and Data team to determine technical delivery and functionality. Design data solutions based on optimal performance, scalability and reliability. Create, optimise and maintain logical and physical data models, including data warehouses and data lakes. Design and manage the data integration process. Work with the team More ❯