

Currys plc
Analytics Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Engineer on a 12-month fixed-term contract in Waterloo, offering a competitive pay rate. Key skills include SQL, dbt, and experience with Snowflake or Databricks. Requires 2-4 years in analytics roles and strong communication abilities.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
January 6, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Fixed Term
-
π - Security
Unknown
-
π - Location detailed
London, England, United Kingdom
-
π§ - Skills detailed
#Datasets #Dimensional Modelling #Visualization #Snowflake #Scala #Data Transformations #Databricks #Security #Data Analysis #AI (Artificial Intelligence) #Stories #Documentation #"ETL (Extract #Transform #Load)" #Looker #SQL (Structured Query Language) #dbt (data build tool) #BI (Business Intelligence) #Data Quality #Data Engineering #Version Control #Tableau #Microsoft Power BI #Automation #Quality Assurance #Monitoring #GIT
Role description
Job description:
Role overview:
Analytics Engineer
Waterloo - Hybrid Working
Full Time
Fixed Term Contract (12 Months)
Grade 4
At Currys weβre united by one passion: to help everyone enjoy amazing technology. As the UKβs best-known retailer of tech, weβre proud of the service our customers receive β and itβs 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.
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 β 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.
Role overview:
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.
β’ Develop and maintain dbt models that transform raw data into trusted datasets for analytics and business intelligence
β’ Implement data quality tests and monitoring to ensure accuracy and reliability
β’ Optimise query performance using effective data modelling and materialisation strategies
β’ Establish and maintain documentation and data dictionaries for analytical models, KPI definitions and metrics frameworks
β’ Support self-service analytics by building reusable, high-quality data models
β’ Collaborate with cross-functional teams to translate business requirements into technical solutions
β’ Collaborate with data engineers to define requirements for new data sources and pipelines
β’ Conduct exploratory data analysis to identify trends, patterns, and anomalies in business performance
β’ Build interactive dashboards and reports that empower self-service analytics
β’ Design visualizations that clearly communicate complex data stories to both technical and non-technical audiences
Role Recquirements:
β’ 2-4 years of experience in a data analyst or analytics engineer role
β’ Strong SQL skills with experience in complex data transformations, CTEs, and window functions
β’ Expertise with dbt and modern analytics engineering tools
β’ Solid understanding of dimensional modelling and data warehousing concepts
β’ Experience with Git-based workflows for version control and collaboration for analytics
β’ Knowledge of data testing frameworks and quality assurance practices
β’ Experience with Snowflake, Databricks, or similar data platforms
β’ Proficiency in Looker or similar BI tools (Tableau, Power BI)
β’ Strong analytical thinking and problem-solving abilities
β’ Excellent communication skills with ability to present findings to diverse audiences
Why join us:
Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, on-going training and skills for life.
Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, weβre in a position to make a real impact on people and the planet.
Every voice has a space at our table and we're committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email careers@currys.co.uk and we'll do our best to help.
Job description:
Role overview:
Analytics Engineer
Waterloo - Hybrid Working
Full Time
Fixed Term Contract (12 Months)
Grade 4
At Currys weβre united by one passion: to help everyone enjoy amazing technology. As the UKβs best-known retailer of tech, weβre proud of the service our customers receive β and itβs 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.
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 β 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.
Role overview:
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.
β’ Develop and maintain dbt models that transform raw data into trusted datasets for analytics and business intelligence
β’ Implement data quality tests and monitoring to ensure accuracy and reliability
β’ Optimise query performance using effective data modelling and materialisation strategies
β’ Establish and maintain documentation and data dictionaries for analytical models, KPI definitions and metrics frameworks
β’ Support self-service analytics by building reusable, high-quality data models
β’ Collaborate with cross-functional teams to translate business requirements into technical solutions
β’ Collaborate with data engineers to define requirements for new data sources and pipelines
β’ Conduct exploratory data analysis to identify trends, patterns, and anomalies in business performance
β’ Build interactive dashboards and reports that empower self-service analytics
β’ Design visualizations that clearly communicate complex data stories to both technical and non-technical audiences
Role Recquirements:
β’ 2-4 years of experience in a data analyst or analytics engineer role
β’ Strong SQL skills with experience in complex data transformations, CTEs, and window functions
β’ Expertise with dbt and modern analytics engineering tools
β’ Solid understanding of dimensional modelling and data warehousing concepts
β’ Experience with Git-based workflows for version control and collaboration for analytics
β’ Knowledge of data testing frameworks and quality assurance practices
β’ Experience with Snowflake, Databricks, or similar data platforms
β’ Proficiency in Looker or similar BI tools (Tableau, Power BI)
β’ Strong analytical thinking and problem-solving abilities
β’ Excellent communication skills with ability to present findings to diverse audiences
Why join us:
Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, on-going training and skills for life.
Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, weβre in a position to make a real impact on people and the planet.
Every voice has a space at our table and we're committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email careers@currys.co.uk and we'll do our best to help.






