Job Description What will you be doing? We are seeking a talented individual to join as Data Engineer, in Glasgow, to join a growing team to deliver a large data modernisation programme. As Data Engineer, you will be responsible for designing, developing, and maintaining our new Evelyn Data Platform and associated data pipelines and data models. This will require a modern data stack skillset with Snowflake experience at the core, with experience of Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage for data storage, and GitHub for version control and collaboration. The Evelyn Data Platform will support regulatory requirements, business intelligence & insight dashboards, AI use cases, and numerous system integrations. This role requires strong technical proficiency and a deep understanding of data engineering patterns and data warehousing principles and practices. The role will be working in an agile and collaborative environment within a growing and skilled team. An understanding of the wealth management industry or broader financial services is a plus. As Data Engineer, your responsibilities will include among others Design, develop, and implement data products and solutions using Snowflake and Azure. Create and maintain ETL/ELT pipelines to extract, transform, and load data from various sources into the data platform (data types including structured, semi-structured and unstructured data, from sources such as files, REST/SOAP APIs, third-party SaaS products, internal databases). Develop data models and schemas that support reporting and analytics needs. Collaborate with business analysts, data scientists, and other stakeholders to understand requirements and deliver solutions. Document data platform and pipeline architecture and database models. Provide time estimates for work so stakeholder expectations and resources can be managed. Stay up to date with the latest trends, technologies, and best practices in data engineering.