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# Analytics Engineer

- **Company:** Dixons Carphone
- **Location:** Greater London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Query Performance, Data Analysis, Data Dictionary, Data Warehousing, Database Queries, Database Testing, Power BI, Software Tools, Tableau (Software), Snowflake, Git Flow, Information Technology, Data Management, Looker Analytics, Software Version Control, Databricks
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815438973-analytics-engineer

## About the 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 Omni, Looker or similar BI tools (Tableau, Power BI)
 * Strong analytical thinking and problem-solving abilities
 * Excellent communication skills with ability to present findings to diverse audiences, * 2-4 years of experience in a data analyst or analytics engineer role
 * Degree in Computer Science, Analytics, or a related technical field highly desirable
 * dbt & Analytics platform certification beneficial

## Description

* 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
 * Support self-service analytics by building reusable, high-quality data models
 * Collaborate with cross-functional teams to translate business requirements into technical solutions
 * Collaborate with data engineers to define requirements for new data sources and pipelines
 * 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


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- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)
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- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means)

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