Data Analytics Engineer
Summary
Designs and implements customer data solutions for personalized experiences, ensuring privacy and quality, using cloud platforms (AWS/GCP/Azure), SQL, Python, and data integration tools like Kafka, Airflow, or dbt.
We are looking for a Data Engineer who will design and implement customer data solutions that enable personalised experiences while ensuring privacy, quality, and accessibility of customer information across all touchpoints.
Length: 12 months
Location: London, UK
Environment: Hybrid - 2-3 days in the office
Key responsibilities:
- Leading engineering decisions for customer data, including infrastructure, APIs and data pipelines
- Defining & delivering company's identity customer 360 solutions, ensuring seamless integration across different customer-facing platforms
- Architecting and implementing real-time data integration
- Designing and enforcing consent and preference management systems in compliance with GDPR and other relevant data privacy regulations
- Collaborating closely with MarTech and Digital teams to ensure smooth and efficient data flow from backend systems to marketing and engagement platforms
What is required to be successful in this role:
- Strong proficiency with cloud platforms (e.g. AWS, GCP, Azure), infrastructure-as-code, and scalable architecture patterns
- Hands-on experience with SQL, Python, and modern data integration frameworks such as Apache Kafka, airflow or dbt
- Proven ability to deliver enterprise-grade customer data solutions, including customer data platforms and or API based integration
- Excellent project management skills to lead complex, cross-functional technical implementations from concept to deployment
- Understanding of digital marketing and CRM systems is a plus