About the role
From the employer’s listing · GoCardless · posted 28 September 2026
About us
GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday.
We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless.
Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach.
Data at GoCardless
You'll sit in our Data and Business Systems group, working with technical and non-technical people across the whole company. You'll be part of a collaborative data engineering team, working closely with analytic engineers, analysts, and business stakeholders to deliver data solutions that scale with our rapidly growing business.
We're a large team with an extensive remit, and we expect every member to work with initiative and be driven — holding each other accountable and to a high standard. Joining our team, you'll work alongside people who strive to be the best they can be, on complex projects across GC's data and business systems stack.
Our technologies: We endeavour to build simple, reliable systems, and we believe in using the best technology for each task. Technologies we use across GoCardless include Python, Google Cloud Platform, dbt, Airflow, BigQuery, and others.
You're not expected to have expertise in all of these — most of our team have picked up tools once they've started working with us.
The Role
We are looking for a talented Data Engineer to help us build and maintain robust, scalable, and efficient data infrastructure - from ingesting data from third-party sources, to the pipelines and orchestration that move our data, to the models that shape it.
Working closely with analytic engineers, analysts, and business stakeholders, you'll help transform raw data into valuable insights that drive business decisions.
We're hiring across a range of experience levels - from engineers developing pipelines and models independently, through to those leading the design of larger, higher-scope systems.