ABOUT US

Every day, we push beyond expectations to help millions of people save money, at a time when it’s never mattered more. Through MoneySuperMarket, MoneySavingExpert, Quidco and our B2B partnerships we supply products to more than 24 million unique monthly visitors, helping UK households to save billions of pounds a year. Can you tell this is something we’re exceptionally proud of!
Creative, collaborative, ambitious – it’s hard work. But what makes it worth it? Leaving work knowing we’ve made a difference to our customers, users, and to each other.
Put our distinct brands together with our dedicated colleagues and you’ve got a workplace with lots of personality. We’re open-minded, diverse, and love our differences. Everyone plays a part, and comes together to work hard, go beyond, and make sure everyone feels they belong.
Our Data team is growing, and we’re hiring for an Analytics Engineer who can join our Comparison collective. Join us to start going beyond comparison.

As an Analytics Engineer, you’ll work closely with data scientists, analysts, and product teams to understand their needs and translate them into robust, scalable data pipelines. We leverage modern data stack technologies like Apache Airflow, BigQuery, and dbt to ensure our data is always accessible, reliable, and ready for analysis. Recently we have invested in AI tools to dramatically improve the speed at which we understand existing transformations and author new ones.

We are passionate about continuous improvement, embracing DevOps practices and a collaborative environment where everyone shares ownership and contributes to the team’s growth. If you’re excited by the challenge of building a data foundation that empowers our entire organization, this is the perfect opportunity for you.

• Build and maintain scalable data models, using SQL and DBT, optimized for data analytics, data science, and BI reporting.
• Collaborate with data scientists, analysts, and business stakeholders, in a variety of data domains, to understand data needs and translate them into actionable insights.
• Develop and maintain data quality standards to ensure data accuracy and integrity.
• Contribute to the development and implementation of data governance policies to ensure responsible data management.
• Stay up to date on emerging data technologies and best practices.
• Proactively identify and solve data-related challenges to improve the efficiency and effectiveness of data analysis.