Aws data engineer

We're looking for a mid-level AWS Data Engineer to help us build and run reliable, scalable data pipelines. You'll turn raw data from multiple data sources into trusted datasets for our internal users, working closely with analysts, data scientists, and the wider team. You will be responsible for developing pipelines end-to-end, but should also be happy working with established systems and architecture.

This is a great opportunity to join a small, collaborative team where you will have the chance to work on all aspects of Data Engineering and build up new skills on the job.

Key Responsibilities:

• Design, build, and maintain data pipelines in AWS.

• Create and maintain core datasets in both traditional databases and data lakes.

• Work with a variety of data sources managed by internal and external teams.

• Write clean, well-tested Python and SQL for data extraction and transformation.

• Improve performance, cost, and reliability of existing pipelines

• Implement data quality checks and alerting.

• Use Infrastructure as Code (IaC) to deploy processes (we use CloudFormation).

• Document datasets and processes so they are easy for others to work with.