Data Engineer, AVP

• Driving customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tools to build data solutions
• Participating in the data engineering community to deliver opportunities to support our strategic direction
• Carrying out complex data engineering tasks to build a scalable data architecture and the transformation of data to make it usable to analysts and data scientists
• Building advanced automation of data engineering pipelines through the removal of manual stages
• Leading on the planning and design of complex products and providing guidance to colleagues and the wider team when required

The skills you’ll need

To be successful in this role, you’ll have an understanding of data usage and dependencies with wider teams and the end customer. You’ll also have experience of extracting value and features from large scale data.

We’ll expect you to have experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, exploration and analysis, and data warehousing and data modelling capabilities.

You’ll also need:

• Hands‑on experience in designing and building AWS and Snowflake data pipelines for retail analytics, including S3 ingestion, data staging and modelling, performance optimization (micro‑partition pruning, clustering), and secure data sharing

• Knowledge of DevOps and Infrastructure as code using Terraform preferable

• Good knowledge of modern code development practices
• Good understanding of Data Product Journey using Data Marketplace and SageMaker Unified Studio
  • Great communication skills with the ability to proactively engage with a range of stakeholders