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. The Role Our Analytics Engineering team plays a pivotal role in ensuring that data is trusted, accessible, and ready for insight across the business. You’ll collaborate with insights analysts, data scientists, engineers, and business stakeholders to ensure the entire organisation can self-serve trusted data with confidence. You will play a key role in evolving our data architecture, tooling, and practices — from data modeling and governance to performance and monitoring. What excites you - Data Modeling: Building and development the governance of scalable, maintainable data products that reflect business logic and power analytics across domains. - Stakeholder Engagement: Work closely with cross-functional leaders to understand key challenges and deliver high-impact solutions. - Platform & Tooling Evolution: Partner with data engineering and platform teams to improve our data stack and workflows. Drive initiatives to optimize query performance, cost efficiency, and user enablement. - Best Practices & Standards: Champion best practices in version control, CI/CD for analytics code, modular modeling, and scalable transformation pipelines. What excites us - A systems thinker who can architect resilient solutions at scale and keep a pulse on emerging tools and patterns in modern data development. - A clear communicator who can translate complex technical insights into business language and influence stakeholders at all levels. - Somebody capable of both detail orientation and big-picture thinking, able to develop plans that deliver the right outcomes. - A systems thinker who can architect resilient solutions at scale and keep a pulse on emerging tools and patterns in modern data development. - Someone who proactively identifies challenges and opportunities - who will take ownership of problems they come across and help to resolve them. - Demonstrated success in high-growth, digital-native organisations — with a deep understanding of the pace, complexity, and data demands of modern, tech-enabled businesses. - Familiarity with data governance, lineage, testing, and documentation best practices. - Deep understanding of SQL, data modeling principles (Kimball/ELT), and tools like dbt. We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply. Salary range: the expected base salary range for this position is between €36,000 - €54,000. Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. (some of) The good stuff - Wellbeing - stay healthy with dedicated support and medical cover - Lunch- based on the location, you either get a meal voucher or a paid lunch when working from the office - Work away scheme - gives you the option to work away from your country of residence for up to 20 working days in any 12-month period - Adaptive Working - allows you to work flexibly, around your lifestyle - Parental leave - to suit everyone embarking on life's great adventure - Learning Budget - lead your own development with an annual learning budget - Time off - generous holiday allowance + volunteer days for ERG events + one day off if you need to move house Life at GoCardless We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion As of April 2025, we had 806 employees (GeeCees) globally, with 524 based in the UK, 163 based in Latvia and 119 across our other offices. To ensure that we're representative of the world around us - and to be able to review relevant benchmarks - we ask GeeCees to voluntarily disclose diversity data. This year, the proportion of GeeCees providing data increased to 88% (up from 79% in 2024). With regards to diversity within GoCardless, we can see GeeCees identifying as: Asian, Black, Mixed or Other — 25% Neurodiverse — 9% LGBTQIA+ — 9% Disabled — 1% Average age — 33 Female — 45% Male — 55% We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support. If you want to learn more, you can read about our Employee Resource Groups and objectives here Sustainability We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. Check out our sustainability action plan here. Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.

Analytics engineer

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