2 of 2 Data Modelling Jobs in Fleet

will serve as a subject matter expert providing technical leadership guidance and best practices across the team. You will play a critical role in designing developing and implementing complex data solutions on cloud platforms (primarily AWS) ensuring they meet the highest standards of quality scalability and performance. Serve as a subject matter expert in cloud data engineering providing … technical guidance and mentorship to the team. Drive the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts … data scientists business stakeholders and product owners to understand their data needs and translate them into innovative and effective technical solutions. Troubleshoot and resolve complex data quality issues performance bottlenecks and production incidents. Participate in the evaluation selection and implementation of new data technologies and tools. Adhere to and champion best practices in data engineering More ❯

Job Title: Data Scientist and Engineer Location: Fleet, Hampshire with hybrid working Hours: Full-time, 35 hours per week. Company Overview Fleet Mortgages Ltd is a specialist Buy to Let Mortgage lender committed to harnessing the power of data-driven insights to drive innovation and growth. We're seeking a talented individual to join our team to help … us leverage data and engineering to create cutting-edge solutions. We are looking for a skilled Data Science professional to manage a variety of data science tasks. This role will involve utilising expertise in data science to derive MI and insights from data, develop algorithms, and build robust data-driven solutions to support our … company's objectives. What you will be doing Collaborate across departments to understand business objectives and identify data-driven solutions. Apply machine learning and statistical techniques to analyse complex datasets and generate actionable insights. Design and implement algorithms, models, and experiments to solve business problems and optimise product performance. Build and deploy MI and data models into production More ❯