You’ll be a senior contributor in our Data Engineering team, working across various projects, building out key elements of our data platform using a range of modern tools including Snowflake, dbt, and Airflow. You’ll help us minimise our cloud costs, drive best practices across all our Data Disciplines and scale and automate our data governance.
Enable VXBS (Visa Cross-Border Solutions) to Make Better Decisions, Faster
At the core of this mission sits our data platform. We’re great believers in powerful, real-time analytics and empowerment of the wider business. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Snowflake.
What you’ll be working on:
Working in a multi-disciplinary data engineering team, you will:
- Support the building of robust data models downstream of backend services (mostly in Snowflake) that support internal reporting, financial and regulatory use cases.
- Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.
- Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata, and testing standards.
- Set standards and ways of working with data across VXBS, working collaboratively with others to make it happen.
- Take established best practices and standards defined by the team and apply them within other areas of the business.
- Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
- Contribute to prioritisation of data governance issues.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.