2 of 2 Snowflake Data Engineer Jobs in the South West

Employment Type : 12 month FTC Hours of Work :Monday- Friday, 9am-5.30pm (flexible) Location : Bideford, Hybrid What will I be doing? We are looking for an experienced senior data engineer to join our growing Data Team. You'll be working on exciting projects to take the business to the next level with building out the data held within our data warehouse. You will be involved in designing, building, testing and operating data transformations, working closely with colleagues within the product engineering team and other departments. The Travel Chapter is a data-led business, and the work that you carry out will enable Travel Chapter to provide staff, clients and owners a great … by the role and can do most of the below - please get in touch. You could be exactly what we need! Ideally, we're looking for Develop and maintain data pipelines and ETL processes to integrate and transform diverse data sources into a unified data model. Design and implement data models and database schemas to store 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 and quality assurance processes to maintain integrity across systems. Troubleshooting More ❯