Analytics engineer

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 €36,400 - €50,400 . 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 o