Senior Data Engineer

We are looking for a self-motivated Senior Data Engineer to work independently within a full-stack, high-performing squad representing the Data Engineering chapter. The ideal candidate brings a collaborative "can-do" mindset focused on the collective success of the Scrum team to iteratively deliver high-quality products supporting the investments business. Responsibilities Collaborate with the Product Owner, Scrum Master, Subject Matter Experts and Development team to define and analyze user stories tracked in Jira Participate in the design, development and implementation of software solutions using a modern technology stack Demonstrate solutions and articulate business value to business partners at sprint showcases Support Data Integration through active configuration participation Apply knowledge of investment financial data to serve application integration to trading platforms and reporting Work within Agile Scrum teams following a scaled framework Requirements Bachelor's degree in a technical discipline or equivalent professional experience 5+ years of experience as a Data Engineer Expertise in SQL including views, stored procedures and functions Proficiency in Snowflake and understanding of DWH concepts Skills in AWS and Python for ETL processes including Pandas and NumPy Familiarity with AI Dev Tools such as GitHub Copilot and GitHub Actions Knowledge of CI/CD practices using BitBucket, GitHub and Bamboo Background in business intelligence tools and reporting solutions Familiarity with API development and reporting tools like Power BI English proficiency at B2 level or higher Nice to have Background in financial systems and reporting including investments accounting and general ledger Expertise in integrating large-scale financial investment or ERP systems such as Investment Management Warehouse or similar platforms Showcase of delivering data solutions via agile methodologies using cloud resources such as S3, Glue and Athena Familiarity with SnapLogic and REST APIs for orchestration Understanding of Agile software development practices including story sizing, sprint planning and retrospectives