Data Analytics Engineer
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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)