Analytics Engineer
- London
- Permanent
- Full-time
Waterloo - Hybrid Working
Full Time
Permanent
Grade 4At Currys we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best-known retailer of tech, we’re proud of the service our customers receive – and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.The team:Tech and Transformation are at the heart of delivering the future vision for Currys. We drive innovation that creates seamless, secure experiences for customers and colleagues – whether migrating to the latest technology, enhancing security, or deploying smart tools to our stores. Using analytics, AI and automation, we generate real value - personalising journeys, improving decision making and unlocking new opportunities. Working across the business, we simplify, streamline and evolve how things get done. And with access to learning platforms, mentoring and career support, you'll grow as fast as the tech we build.You will collaborate with analytics, engineering, and product teams to turn raw data into business-ready insights. You will work closely with analysts to understand their requirements and ensure solutions meet their needs. You will partner with platform and operations teams to maintain robust, scalable, and high-performance analytical pipelines. Your role will also involve mentoring colleagues on analytics engineering best practices and contributing to a culture of quality and reusability across the data function.Role overview:As part of this role, you'll be responsible for:
- 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
- Create clear documentation and data dictionaries for analytical models
- Establish version control and CI/CD processes for analytics code
- Support self-service analytics by building reusable, high-quality data models
- Mentor analysts on coding standards, software engineering best practices, and analytics workflows
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Strong SQL skills with experience in complex data transformations
- Expertise with dbt and modern analytics engineering tools
- Solid understanding of dimensional modelling and data warehousing concepts
- Experience with version control (Git) and CI/CD pipelines for analytics
- Knowledge of data testing frameworks and quality assurance practices
- Proficiency in Python for data analysis and automation
- Experience with Snowflake, Databricks, or similar data platforms
- Excellent communication and documentation skills