Overview

Data Engineer - Snowflake/SQL/Python
Location: London
Hybrid Working: 1-2 days in the office per week (Tuesday/team day essential)
Term: Initial 12-month Fixed Term Contract with a view to extend or convert to permanent
Salary: £65,000-£75,000 Dependent on Experience
Job Ref: J12995

This is an exciting opportunity to join a global lifestyle brand's customer data science team during a transformative phase. As the business transitions to inhouse capabilities for CRM and customer insights, alongside implementing a new customer data platform, this role is key in shaping best practices and ensuring seamless collaboration with IT partners. The team is part of the broader Consumer Intelligence and Experience (CIX) function, which harnesses data-driven insights and predictive analytics to power personalised consumer experiences at scale. CIX leads on market research, customer segmentation, first-party data strategy, and consumer activation across all brands and global channels. A Data Engineer is sought to help scale the data infrastructure and support analytical and data science workflows, enabling faster, more reliable access to customer data and insights for more relevant and personalised interactions across the business.

Key Responsibilities

• Design, build, and maintain robust data pipelines and workflows using Snowflake and Snowpark
• Collaborate with data scientists and analysts to deliver clean, reliable data for downstream analytics
• Optimise large datasets for performance, scalability, and usability
• Monitor data quality, integrity, and pipeline performance
• Support batch and near real-time data transformations and integrations
• Write clean, modular, and efficient Python code for data processing and orchestration

Required Skills

• Strong proficiency in Python, especially for data manipulation and transformation
• Hands-on experience with Snowflake, including Snowpark for advanced data engineering tasks
• Solid understanding of SQL, data modelling, and modern data warehouse architecture
• Familiarity with data orchestration, workflow management, and CI/CD practices
• Experience in deploying and maintaining scalable data pipelines

Nice to Have

• Exposure to MLOps practices and working with data science teams
• Familiarity with tools like MLflow or other model tracking/versioning tools
• Understanding of feature stores and data pipelines for ML/recommendation use cases
• Background in handling customer data within retail, e-commerce, or lifestyle industries

This is a fantastic opportunity to make a tangible impact by shaping the customer data infrastructure of a globally recognised brand.

Note: We can only accept applications from individuals with current UK working rights for this role. This client cannot offer visa sponsorship.