Data Engineer - Retail and Luxury

Freshminds; England; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A global lifestyle brand is seeking a Data Engineer to build and maintain a marketing database that supports scalable analytics and personalized consumer experiences. This role involves designing and maintaining data pipelines, ensuring data quality and governance, and collaborating with various teams. The ideal candidate will have strong proficiency in Python and SQL, with experience in media data ELT tools and cloud platforms. This is a hybrid position based in Central London.

Qualifications

• Experience with media data ELT tools and marketing APIs.
• Familiarity with marketing datamarts and performance metrics.
• Cloud experience with AWS, GCP, or Snowflake.
• Proficiency in Python, SQL, Git, and DBT.
• Knowledge of MMM/MTA and deployment tools like Airflow or Docker.

Responsibilities

• Design and maintain scalable data pipelines and architectures.
• Ensure data quality, security, and governance across systems.
• Collaborate with data scientists, analysts, and product teams.
• Oversee data collection, transformation, and validation.
• Use Python, SQL, and Excel to process and model data.

Skills

Experience with media data ELT tools and marketing APIs

Familiarity with marketing datamarts and performance metrics

Cloud experience with AWS, GCP, or Snowflake

Proficiency in Python

Proficiency in SQL

Proficiency in Git

Proficiency in DBT

Knowledge of MMM/MTA

Knowledge of deployment tools like Airflow or Docker

Tools

Python

SQL

Git

DBT

Airflow

Docker

Job description

A global lifestyle brand is hiring a Data Engineer to build and maintain a marketing database that supports scalable analytics and personalised consumer experiences. The role sits within the Consumer Intelligence and Experience (CIX) team, which leads market research, segmentation, and activation across all brands and channels. You’ll be the lead developer responsible for enabling clean, structured data across the organisation.

Responsibilities

• Design and maintain scalable data pipelines and architectures
• Ensure data quality, security, and governance across systems
• Collaborate with data scientists, analysts, and product teams
• Oversee data collection, transformation, and validation
• Use Python, SQL, and Excel to process and model data

Requirements

• Experience with media data ELT tools and marketing APIs
• Familiarity with marketing datamarts and performance metrics
• Cloud experience with AWS, GCP, or Snowflake
• Proficiency in Python, SQL, Git, and DBT
• Knowledge of MMM/MTA and deployment tools like Airflow or Docker

Details

• Salary: £65-75k per annual
• Location: Hybrid, with 2-3 days/week in Central London office