Data Analytics Engineer

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:

• Develop and maintain dbt models that transform raw data into trusted datasets for analytics and business intelligence
• Implement data quality tests and monitoring to ensure accuracy and reliability
• Optimise query performance using effective data modelling and materialisation strategies
• Establish and maintain documentation and data dictionaries for analytical models, KPI definitions and metrics frameworks
• Conduct exploratory data analysis to identify trends, patterns, and anomalies in business performance
• Build interactive dashboards and reports that empower self-service analytics
• Design visualizations that clearly communicate complex data stories to both technical and non-technical audiences

What is required to be successful in this role:

• Strong SQL skills with experience in complex data transformations, CTEs and window functions
• Expertise with dbt and modern analytics engineering tools
• Solid understanding of dimensional modelling and data warehousing concepts
• Experience with Git-based workflows for version control and collaboration for analytics
• Knowledge of data testing frameworks and quality assurance practices
• Experience with Snowflake, Databricks, or similar data platforms
• Proficiency in Looker or similar BI tools (Tableau, Power BI)