Analytics Engineer

Hey! We’re Plum, your smart saving and investing app on a mission to help grow money for life. Whether you’re stashing the cash for tea and toast in your first home or catching some rays during retirement, Plum’s got your back.

Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI – that’s the magic of Plum! As recognition for our work, we’ve received awards from the likes of Deloitte, Finder, and more.

That’s all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we’re looking for more brilliant people to join us on our journey.

About the Role

This is a unique opportunity to join Plum as an Analytics Engineer and help us build our data platform using best in class tools and practices.

The Data Platform team is critical in ensuring data is reliable, scalable, and accessible across Plum. Given the lean team size, we value individuals who can multitask effectively, balancing hands-on development with problem-solving, collaboration, and process improvements. This role requires a blend of technical expertise and adaptability, as you'll be working across multiple domains, from data modelling and pipeline orchestration to data-warehouse optimisations and tooling enhancements.

What will you do

• Design, build, and maintain scalable dbt models to transform raw data into well-structured datasets optimised for analytics and reporting, ensuring data consistency, performance, and maintainability.
• Collaborate with analysts, product managers, and other business stakeholders to gather requirements and build high-quality data products that drive value for Plum, such as the central Lifetime Value data model
• Work closely with Data engineers to develop and manage ELT data pipelines using Airflow, dbt, and BigQuery. Monitor pipeline performance and troubleshoot issues to ensure data availability.
• Implement monitoring, logging, and alerting to maintain the reliability and efficiency of data pipelines.
• Help optimise data infrastructure costs and performance on Google Cloud (BigQuery, Cloud Storage, etc.).
• Contribute to data governance, documentation, and best practices to improve data quality and maintainability.
• Be on top of the latest data technologies, recommend tools and apply best practices.

Who you are

• 3+ years of experience in Analytics Engineering, Data Engineering or a similar role.
• Strong SQL skills and experience working with BigQuery or similar data warehouses.
• Proficiency in Python for data processing and automation.
• Hands-on experience with ELT workflows, including Airflow and dbt.
• Experience with Looker, or other similar BI tools.
• Understanding of data modelling principles and best practices for analytics.
• Demonstrated ability to work cross-functionally with Data, Product, and Engineering teams.
• You can communicate complex technical concepts to stakeholders and non-technical audience and can collaborate effectively within cross-functional teams
• A problem-solving mindset with a focus on scalability, performance, and maintainability.
• Familiarity with GCP and Terraform is a plus.

Plum's Perks

• Own part of the company you're helping grow through stock options
• Private health insurance
• Annual training budget
• Plum Premium for free
• Competitive referral scheme
• Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus
• Team breakfasts and team lunches
• 25 days holiday + bank holidays
• 45 work-from-anywhere days to give you flexibility to work your way
• 2 weeks sabbatical after 4 years to take the break you deserve
• Enhanced parental leave
• 1 paid volunteering day annually
• Annual team trip to a surprise destination!
• A fun, inclusive company culture (think 🦄🌈💯)

If you think this sounds like you, don’t hesitate to get in touch!
Thanks,
Plum Τeam 💜

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.