Analytics Engineer

Analytics Engineer 

 
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. 

 
ABOUT OUR DATA STRATEGY  

As part of the MONY Group Data Team, our goal is to drive business growth by building and maintaining data products that power analytics and personalized customer experiences. We work closely with teams across the business to ensure that data is clean, reliable, and accessible for data-driven decision-making. 

In Data Engineering we are responsible for data integration from and to the group’s operational data stores, providing a common data model, which serves as a source of truth for financial reporting, analytics, CRM and data science alike and the tools and services used by other data teams to improve their secure data handling practices and development experience. 

About the role

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. Within this role you will be working closely with our Finance teams to enable data driven insights. 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 stakeholder within Finance, 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. 

What we’re looking for

Essential: 

• Excellent SQL 

• Strong understanding of data modelling  

• Professional DBT  experience 

• Experience with BigQuery (or other cloud data warehouse solutions) 

• Comfortable using a version control (Git & GitHub or similar)  

• Familiarity with IDEs like VSCode, DataGrip, PyCharm 

Desirable: 

• Experience writing Airflow DAGs for data ingestion 

• Tableau (or other data visualisation tools) 

• Familiarity with Terraform, Docker and bash 

• Knowledge of continuous integration/deployments  

 
WHAT REWARDS ARE ON OFFER  

• Up to 30 holidays + bank holidays   

• Pension up to 6% employer contribution   

• Bonus scheme   

• Enhanced shared parental leave - 6 months paid for both parents   

• Digital Doctor on demand   

• Work from anywhere scheme – 2 weeks per year   

• Financial coaching   

• Mental health platform access   

 
HOW WE’LL INVEST IN YOU  

We’re invested in your development. Expect mentorship, training, and opportunities to expand your skill set, including access to your own individual LinkedIn Learning license with access to over 16,000 courses. Additionally, we utilize AI tools and Copilot to stay updated with trending technologies and to assist with daily tasks, ensuring you have the best resources at your disposal. 

 
INTERVIEW PROCESS  
1. 45mins call to run through your experience and the role 

2. 60mins interview, focused around your technical knowledge  

3. 30mins interview, with questions focused on your behaviours and how you work with others  

At MONY Group, we believe in the strength of diversity and see inclusion as a strategic advantage. Our values guide us in creating a workplace where fairness and equity is a reality for all. We’re committed to minimising systemic bias and creating a level playing field for all candidates.  

Contact us for reasonable accommodations in the application process, no need to disclose your disability or condition, just specify your needs. Unsure what to ask for? We can guide you through available accommodations.  

We understand that job adverts only say so much and you’re likely to have a lot of questions. If you’d like to know more before applying such as more on hybrid working, salary, our parental leave policy etc, please just let us know, and we’ll be happy to help. You can contact the recruiter for this role, Kim at [email protected]  

We believe that success isn’t solely defined by ticking boxes on a skills checklist. We encourage your application, so we can discover your skills and experience that will help you succeed in this role.