

GL Global
Senior Data Analytics Engineer - Python, SQL, DBT - Fully Remote - Contract
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analytics Engineer with expertise in Python, SQL, and DBT. It's a fully remote contract position, focusing on refactoring legacy systems and optimizing AWS Glue/PySpark pipelines. Immediate availability required.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
January 29, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United Kingdom
-
π§ - Skills detailed
#Databricks #Spark (Apache Spark) #Data Engineering #AWS Glue #Data Quality #PySpark #Code Reviews #Python #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #AWS (Amazon Web Services) #IAM (Identity and Access Management) #Athena #dbt (data build tool)
Role description
Senior Data Analytics Engineer - Python, SQL, DBT - Fully Remote - Contract
Weβre 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. Thatβs 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.
Senior Data Analytics Engineer - Python, SQL, DBT - Fully Remote - Contract
Weβre 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. Thatβs 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.






