2 of 2 Contract Data Warehouse Jobs in Avon

throughout MO, allowing the organisation to maximise on the power of its data. The successful candidate would be: Working in an agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI Working with business users to design and configure self-serve data environments … technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data … the business to digitise and improve interactions with our customers and business partners. This could be data transfer from third parties, ETL into the data warehouse or data lake, providing insights and metrics, or improving performance or processes. This is a dynamic team, with data engineers and analysts working closely alongside More ❯

Are you passionate about harnessing data to drive meaningful transformation? As a Senior Data Engineer, you will play a pivotal role in strengthening their data ecosystem, ensuring that high quality data fuels innovation across the business. You will collaborate closely with teams across the company, designing, developing, and optimising scalable data solutions that elevate decision making and operational efficiency. You'll play a key role in mentoring and upskilling fellow data engineers, helping them deepen their expertise in Snowflake and optimise their workflows for scalability and efficiency What You will Be Doing: Crafting and refining data pipelines that transform raw information into actionable insights. Designing … robust data models and database structures that support large scale information processing. Partnering with product managers and engineers to understand data needs and usage patterns. Implementing performance enhancing techniques such as indexing, caching, and partitioning. Providing mentorship and guidance to junior data professionals, fostering knowledge sharing and collaboration. Establishing rigorous data validation More ❯