4 of 4 ETL Jobs in Warwickshire

manipulation, interrogation, migration, and validation. You will also need to have proficiency with SQL, Excel, and data manipulation tools (e.g., Power Query, Python, R, ETL tools). Below is a small overview of what you’ll be doing... Perform data cleansing, ensuring accuracy and consistency. Carry out data interrogation ...

across the team. Key Responsibilities Design, build and maintain end-to-end pipelines using Azure Data Factory and Fabric Data Factory. Develop ELT/ETL workflows across Azure Data Lake, Fabric Lakehouse, and Azure SQL environments. Use strong T-SQL skills to build and optimise transformations and data models … Experience with Azure Data Lake, Fabric Lakehouse or similar architectures. Background in data engineering, cloud engineering or data platform roles. Knowledge of ELT/ETL patterns, data modelling, and modern Azure/Fabric data practices. Familiarity with Git, Azure DevOps, CI/CD, and monitoring pipelines. Why Apply? Work with ...

Platform and Engineering Manager, the candidate will be required to design and manage data warehousing solutions, including the development of data models, ETL processes and data integration pipelines for efficient data consolidation, storage and retrieval, providing technical guidance and upskilling for the team, and conducting monitoring and optimisation activities. … #TeamAldi today! Your New Role: Project Management of demands and initiatives Lead the design and implementation of data warehousing Design and develop data models, ETL processes and data integration pipelines Complete Data Engineering end-to-end ownership of demand delivery Provide technical guidance for team members Providing ...

expert within Azure Databricks and PySpark. You'll help to upskill our teams knowledge of Databricks, get involved in data modelling and ETL pipeline development, integrations, and performance tuning. This is an ever evolving project as the business becomes more and more data driven and your knowledge of Databricks will … project. What you’ll be doing: Leading the design and implementation of a new Databricks-based data warehousing solution Designing and developing data models, ETL pipelines, and data integration processes Large scale data processing using PySpark Monitoring, tuning, and optimising data platforms for reliability and performance Upskilling the wider team ...