Senior Data Analytics Engineer - Python, SQL, DBT - Fully Remote - Contract

We're partnering with a global enterprise to find a Senior Data Analytics Engineer to join their Customer function at a critical moment.

This is a hands-on, engineering-first role for someone who thrives on fixing broken systems, taming Legacy code, and raising the bar on data quality. The data is rich and global - but the existing SQL and Python codebase needs stabilising, refactoring, and modernising. That's where you come in.

Key Responsibilities

- Refactor inefficient Legacy SQL for performance and clarity
- Repair and optimise AWS Glue/PySpark pipelines
- Define coding standards, SQL linting rules, and PR templates
- Act as a bar-raiser in code reviews, mentoring engineers in modular, defensive data engineering

Experience

- Expert SQL: Confident refactoring multi-thousand-line queries into clean, logical models
- DBT: Proven experience setting up dbt projects from scratch
- Python & Spark: Able to debug and optimise PySpark jobs
- AWS: Hands-on with S3, Athena, IAM (Databricks or Glue experience ideal)

This is an immediate requirement, please apply immediately for further details and a confidential discussion.