Data Engineer, Customer Analytics & Pipelines

Thg Plc; Manchester; Hybrid; GBP 55,000 - 85,000; Full time

Benefits offered by this job

On-site gym

Employee wellness program

Annual leave 25 days

Staff discounts

Refer a friend bonus £1000

Job summary

THG is seeking a Data Engineer in the Customer domain to build and maintain data pipelines powering customer analytics across Beauty and Nutrition brands. You will work closely with the Senior Data Engineer to deliver a reliable, well-structured customer data layer.

The role emphasises Python and SQL proficiency, collaboration within a small team, and helping with data quality checks and queries to support analytics teams.

Qualifications

• Some experience or strong foundational knowledge in data engineering — Python and SQL are essential
• Understanding of data pipeline concepts
• Curiosity and drive to develop as a data engineer
• Attention to detail and commitment to accurate, reliable work
• Ability to work collaboratively within a small team
• Experience with GCP, BigQuery or equivalent cloud data platform
• Exposure to customer or marketing data environments
• Familiarity with version control (Git) and orchestration tools

Responsibilities

• Build and maintain data pipelines in the Customer domain under the direction of the Senior Data Engineer
• Write clean, well-documented SQL and Python code that meets the team's standards
• Support the monitoring and resolution of pipeline issues
• Contribute to data quality checks and validation in the Customer domain

Skills

Python

SQL

Data pipelines

GCP

BigQuery

Git

Orchestration tools

Customer data domain

Tools

GCP

BigQuery

Git

Job description

THG is seeking a Data Engineer in the Customer domain to build and maintain data pipelines powering customer analytics across Beauty and Nutrition brands. You will work closely with the Senior Data Engineer to deliver a reliable, well-structured customer data layer.

The role emphasises Python and SQL proficiency, collaboration within a small team, and helping with data quality checks and queries to support analytics teams.