76 to 100 of 490 MySQL Jobs in the East of England

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines More ❯

gRPC, etc.). Experience with Java frameworks such as Spring, Quarkus, Helidon, etc. Proficiency with Docker microservice architectures and Kubernetes. Experience with RDBMS like MySQL, PostgreSQL, or equivalent. Experience with NoSQL/NewSQL databases. Proficiency in source code management. Additional Experience: Experience with functional programming. Experience with languages other than More ❯

control tools such as Git and GitHub to ensure collaborative, well-documented code development. Demonstrate in-depth knowledge of relational and geospatial databases including MySQL, T-SQL, PostGIS, and PostgreSQL. Write and maintain scripts in PowerShell, Bash, R, and Python to automate data workflows and support analysis. Oversee multiple technical More ❯

and Django Familiarity with AWS and cloud-based development or at least some professional exposure Knowledge of data engineering tools and technologies such as MySQL, Snowflake, Pyspark, Pandas and data warehouses/data lakes. Understanding of software design principles and best practices Strong problem-solving and analytical skills Excellent communication More ❯

support observability, fault tolerance, and high availability. Guide the engineering team in data modelling, data access patterns, and efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs More ❯

support observability, fault tolerance, and high availability. Guide the engineering team in data modelling, data access patterns, and efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs More ❯

support observability, fault tolerance, and high availability. Guide the engineering team in data modelling, data access patterns, and efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs More ❯

support observability, fault tolerance, and high availability. Guide the engineering team in data modelling, data access patterns, and efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs More ❯

support observability, fault tolerance, and high availability. Guide the engineering team in data modelling, data access patterns, and efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs More ❯

support observability, fault tolerance, and high availability. Guide the engineering team in data modelling, data access patterns, and efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs More ❯

support observability, fault tolerance, and high availability. Guide the engineering team in data modelling, data access patterns, and efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs More ❯

support observability, fault tolerance, and high availability. Guide the engineering team in data modelling, data access patterns, and efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs More ❯

with disparate Java frameworks such as Spring/Quarkus/Helidon etc. Proficiency with Docker based microservice architectures and the Kubernetes platform. Proficiency with MySQL, PostgreSQL, or equivalent RDBMS Experience with NoSQL/NewSQL databases. Proficiency in source code management Experience: Experience with functional programming Experience with OpenAI API A More ❯

support observability, fault tolerance, and high availability. Guide the engineering team in data modelling, data access patterns, and efficient use of databases (MSSQL, PostgreSQL, MySQL). Work with data engineers to enable secure, efficient data movement between systems, including real-time and batch processing pipelines. Support analytics and reporting needs More ❯