Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Datatech Analytics.
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
Job Ref: J12995
The Role
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. Seeking an experienced and motivated Data Engineer with a strong development background to help scale the data infrastructure and support analytical and data science workflows. Your work will enable faster, more reliable access to customer data and insights that drive 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
- 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
This is a fantastic opportunity to make a tangible impact by shaping the customer data infrastructure of a globally recognised brand.
Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.
Seniority level
Seniority levelMid-Senior level
Employment type
Employment typeContract
Job function
Job functionInformation Technology
Industry
IndustriesRetail
#J-18808-Ljbffr