Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and 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 in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community. 
• You enjoy collaborating and learning from people from various backgrounds and experiences. 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.

What excites you 

• Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
• Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
• Assist marketing teams in A/B test design and execution and analysing results using statistical methods
• Ensure data quality, accuracy and consistency across all marketing sources
• Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).

What excites us  

Essentials:

• You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role. 
• You have knowledge of common marketing measurement metrics, tools & methodology.
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
• You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
• You are proficient in basic SQL

Nice to have:

• A basic knowledge of Python/R is advantageous but not essential
• You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

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 €45,600 - €68,400.

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.

The Role

Our mission as the Payment Intelligence team is to augment our bank payments product with intelligent data products that differentiate our offering and increase our win rates.

Our focus areas are our existing products, Success+ and Protect+. This means creating market-leading payment recovery rates and fraud prevention products.

 Projects in the pipeline that align to these focus areas are:

• Improve payment recovery rates for failed Account to Account payments.
• Enhance the value proposition of our Payment Intelligence products for our merchants.
• Lead growth initiatives to increase the adoption of Success+ and Protect+

As an engineer, you will be actively working on projects that help grow the adoption of these products while improving the experience of using the same and coming up with ideas for new product features in this space. You will be aided and supported in this journey by a cross functional team of super talented and motivated engineers and data scientists

This is a unique and high-profile opportunity for you, as an engineer, to work on building one one of GoCardless' major revenue streams in the coming years.

What excites you 

• You have a growth mindset, motivated by driving concrete business outcomes.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You are passionate about building and improving products by experimenting, prototyping and applying an iterative approach to validate ideas and learn.

What excites us  

• You have experience building web products and services, and have an awareness of technologies across the stack.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You care about building reliable, well-tested systems.
• You enjoy solving problems and are happy to take initiative to find better solutions.

Base salary range: €70,400 - €105,600

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 (€70,400 - €88,000) 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.

The role

Your mission is to operate the technical and tooling capabilities of our front-line Operations teams, focusing on optimising and improving team efficiency. The teams you support will include Customer Operations, KYC and Compliance, and Internal Operations (Billing and Credit Control).

Our technologies

We endeavour to build simple, reliable systems and believe in using the best technologies for each task. Joining the team, you'll be working with Zendesk, Salesforce, Looker, Qualtrics, and Ruby (to overcome any system limitations).

You're not expected to have expertise in all these technologies. Our team members picked up the tools once they started working with the team. If you're unsure, but you’ve got a broad base of experience with other SAAS tools, please apply.

About the Service Management Team

The new Service Management is responsible for improving our processes, efficiency, and use of technology in serving our customers. Our aim is to create experiences that delight, while being as efficient as possible. We focus on everything from refining processes as we scale, automating as much as we can, and deploying AI solutions to handle as much of the work as possible. 

We build systems that support everything from onboarding and account queries, through to complex fraud and credit investigations. Consequently, we get to work with a very wide range of GoCardless’s systems. Everything from our big data systems, our core product, 3rd party detection tools, and our customer support and ticketing systems. We get to see our customers through their entire lifecycle on the platform.

This is an ideal for the curious, those who look at something and cannot help but wonder why it works, and how to make it better. This is a role for someone who wants to work with a wide range of other functions, and is always willing to try something new.

What excites you

• You’ll help grow and maintain the internal systems, codebases, and tools being used, ensuring these systems are integrated where required.
• Create, own, and maintain technical process documentation.
• Work with Operations leaders to identify inefficiencies in team and cross-functional processes and take ownership of improving these.
• Be the technical voice for Operations across all other tech functions to enable us to understand how our tooling interacts across the lifecycle. 
• Work with other tech functions on supplier integration, sundown, and implementation projects focusing on the technical impact of Operations tooling.

What excites us

• You’ve worked with Zendesk (omnichannel) and Qualtrics as an admin
• You're able to utilise APIs where necessary to overcome system limitations
• You’re familiar with version control tools e.g. Github
• You’re curious and need to understand how everything fits together. If someone can’t tell you the answer, you’ll find a way to figure it out
• You have a proven record of improving internal processes, demonstrated by cost reduction, better customer experience and efficiency improvements
• You’ve written code in Ruby

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: €48,000 - €72,000

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.

Engineering at GoCardless 

The technical challenges of building GoCardless span from simplifying building banking schemes to optimising the time to render the dashboard. 

You will enjoy being a software engineer at GoCardless if:

• You’re looking to champion a great engineering culture within GC and in the wider engineering community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our engineers contribute to the engineering culture within and outside of GoCardless: they contribute to Open Source Software projects (see our Github), and share learnings in post-mortems, conferences and on our blog.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include:  JavaScript, TypeScript, React, Ruby on Rails, Golang, Python, Postgres, BigQuery, Kubernetes, Elasticsearch, Prometheus, Google Cloud (GCP).

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. If you’re unsure, please apply.

About the Service Management Team

The Service Management team is here to help us move beyond manual tasks by building thoughtful, automated systems. We are not just looking to tweak existing processes. Instead, we want to create technology that handles the heavy lifting. We look at everything from how we scale our internal workflows to how we can use artificial intelligence to make our operations feel seamless and effortless for the people using them.

Working in this team means you will have a chance to see how all the different parts of GoCardless fit together. You will build integrations that connect our big data systems, our core payment product, and our fraud detection engines. This gives you a great deal of variety in your work and ensures you are never stuck in just one corner of the codebase. You will get to see the real-world impact of your code as it helps customers through every stage of their journey on our platform.

We believe that great engineering is a team sport and that we build better things when we include different perspectives and ways of thinking. We are looking for people who are naturally curious and enjoy figuring out how things work. This role is a great fit if you value collaboration, enjoy learning about different technologies, and like the idea of experimenting with new ways to solve a problem.

What excites you 

• You have a growth mindset, motivated by driving concrete business outcomes.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You are passionate about building and improving products by experimenting, prototyping and applying an iterative approach to validate ideas and learn.

What excites us  

• You have experience building web products and services, and have an awareness of technologies across the stack.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You care about building reliable, well-tested systems.
• You enjoy solving problems and are happy to take initiative to find better solutions.

Base salary range: €49,600 - €74,000

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.

Engineering at GoCardless 

The technical challenges of building GoCardless span from simplifying building banking schemes to optimising the time to render the dashboard. 

You will enjoy being a software engineer at GoCardless if:

• You’re looking to champion a great engineering culture within GC and in the wider engineering community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our engineers contribute to the engineering culture within and outside of GoCardless: they contribute to Open Source Software projects (see our Github), and share learnings in post-mortems, conferences and on our blog.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include:  JavaScript, TypeScript, React, Ruby on Rails, Golang, Python, Postgres, BigQuery, Kubernetes, Elasticsearch, Prometheus, Google Cloud (GCP).

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. If you’re unsure, please apply.

About the Service Management Team

The Service Management team is here to help us move beyond manual tasks by building thoughtful, automated systems. We are not just looking to tweak existing processes. Instead, we want to create technology that handles the heavy lifting. We look at everything from how we scale our internal workflows to how we can use artificial intelligence to make our operations feel seamless and effortless for the people using them.

Working in this team means you will have a chance to see how all the different parts of GoCardless fit together. You will build integrations that connect our big data systems, our core payment product, and our fraud detection engines. This gives you a great deal of variety in your work and ensures you are never stuck in just one corner of the codebase. You will get to see the real-world impact of your code as it helps customers through every stage of their journey on our platform.

We believe that great engineering is a team sport and that we build better things when we include different perspectives and ways of thinking. We are looking for people who are naturally curious and enjoy figuring out how things work. This role is a great fit if you value collaboration, enjoy learning about different technologies, and like the idea of experimenting with new ways to solve a problem.

What excites you 

• You have a growth mindset, motivated by driving concrete business outcomes.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You are passionate about building and improving products by experimenting, prototyping and applying an iterative approach to validate ideas and learn.

What excites us  

• You have experience building web products and services, and have an awareness of technologies across the stack.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You care about building reliable, well-tested systems.
• You enjoy solving problems and are happy to take initiative to find better solutions.

Base salary range: €39,200 - €58,800

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.

Payment Intelligence

Our mission is to make GoCardless the best way to pay and be paid. Our ambition is to dramatically improve payment performance and safeguard our customers from bad outcomes like payment fraud and failures. You will help find data opportunities and areas to improve our payment intelligence products. You should be comfortable with large data sets, customer data, and machine learning principles. You’ll work alongside Product Managers, Engineers and Data Scientists in our two core Payment Intelligence teams to provide critical insights and help drive product direction.

Our existing Payment Intelligence Products are already one of the key reasons why customers choose GoCardless. These include Protect+, which defends customers from fraud, and Success+, which helps customers intelligently recover failed payments. You will need to own our understanding of these products and identify insights and opportunities to help us develop new intelligent features.

What You'll Do

At GoCardless analytics is at the core of everything we do and drives business performance through data insight. You will play a critical role partnering closely with stakeholders across the business (including product, operations, marketing, and commercial teams) in order to deliver actionable insights to influence decisions at every level of the organisation. The role is focussed on identifying value and driving change throughout the business derived from insights. Your insights will be turned into actions that will help drive the future of GoCardless. You will act as the bridge between the data, technical and business stakeholders informing strategic plans and will own and evolve a suite of reports designed to give a wide range of stakeholders access insights. 

• Own and iterate on experiments to generate user insight and drive business metrics, allowing the team to quickly take action on business opportunities.
• Define how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters, delving into the leading indicators of user behaviour
• Influence the organisation to increase Product Data coverage and implement user tracking best practices - acting as a mentor to guide other members of the organisation to become data driven
• Build models of user-segmentation, customer lifetime value etc in order to inform strategic product & commercial decisions
• Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker), Tracking (Amplitude), Automation (Python), AI (Gemini)

What Excites You

• Become a strategic partner and advisor for the business: you like to proactively seek out gaps in our product capabilities, suggest areas of improvement based on tangible data, as well as owning processes to run and improve testing from the tracking point of view when developing new features. 
• Act as a catalyst for change across the organization, driving the evolution of our data analytics standards, internal processes, and overall product data strategy to ensure scalability and operational excellence.
• Translate complex technical findings into compelling, high-impact narratives. You will bridge the gap between technical data and commercial strategy, influencing product roadmaps and executive decision-making across the entire organization.
• Stay current with AI and data trends to solve real-world problems. You like to leverage these technologies to enhance the payment experience, as well as to optimize data analysis, and deliver high-impact insights and strategic recommendations across the business.
• Unlocking new layers of payment performance, from uncovering new fraud vectors to maximizing success rates
• Serve as a cross-functional mentor, championing a data-driven mindset and elevating the analytical capabilities of team members throughout the company.

What Excites us

• You have a background working in similar fast paced product-driven teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed product decisions
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of a product
• You have extensive experience with data visualisation tools mentioned above and develop compelling visualisations which influence decision making and business understanding
• You have advanced SQL skills and intermediate Python skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes
• You have a background working in similar fast paced teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed decisions.
• You are solution-oriented and able to own projects from start to finish. You are comfortable motivating stakeholders across the business and negotiating timelines to unblock yourself and make things happen!

Salary range: the expected base salary range for this position is between €32,000 - €48,000.

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.

Payment Intelligence

Our mission is to make GoCardless the best way to pay and be paid. Our ambition is to dramatically improve payment performance and safeguard our customers from bad outcomes like payment fraud and failures. You will help find data opportunities and areas to improve our payment intelligence products. You should be comfortable with large data sets, customer data, and machine learning principles. You’ll work alongside Product Managers, Engineers and Data Scientists in our two core Payment Intelligence teams to provide critical insights and help drive product direction.

Our existing Payment Intelligence Products are already one of the key reasons why customers choose GoCardless. These include Protect+, which defends customers from fraud, and Success+, which helps customers intelligently recover failed payments. You will need to own our understanding of these products and identify insights and opportunities to help us develop new intelligent features.

What You'll Do

At GoCardless analytics is at the core of everything we do and drives business performance through data insight. You will play a critical role partnering closely with stakeholders across the business (including product, operations, marketing, and commercial teams) in order to deliver actionable insights to influence decisions at every level of the organisation. The role is focussed on identifying value and driving change throughout the business derived from insights. Your insights will be turned into actions that will help drive the future of GoCardless. You will act as the bridge between the data, technical and business stakeholders informing strategic plans and will own and evolve a suite of reports designed to give a wide range of stakeholders access insights. 

• Own and iterate on experiments to generate user insight and drive business metrics, allowing the team to quickly take action on business opportunities.
• Define how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters, delving into the leading indicators of user behaviour
• Influence the organisation to increase Product Data coverage and implement user tracking best practices - acting as a mentor to guide other members of the organisation to become data driven
• Build models of user-segmentation, customer lifetime value etc in order to inform strategic product & commercial decisions
• Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker), Tracking (Amplitude), Automation (Python), AI (Gemini)

What Excites You

• Become a strategic partner and advisor for the business: you like to proactively seek out gaps in our product capabilities, suggest areas of improvement based on tangible data, as well as owning processes to run and improve testing from the tracking point of view when developing new features. 
• Act as a catalyst for change across the organization, driving the evolution of our data analytics standards, internal processes, and overall product data strategy to ensure scalability and operational excellence.
• Translate complex technical findings into compelling, high-impact narratives. You will bridge the gap between technical data and commercial strategy, influencing product roadmaps and executive decision-making across the entire organization.
• Stay current with AI and data trends to solve real-world problems. You like to leverage these technologies to enhance the payment experience, as well as to optimize data analysis, and deliver high-impact insights and strategic recommendations across the business.
• Unlocking new layers of payment performance, from uncovering new fraud vectors to maximizing success rates
• Serve as a cross-functional mentor, championing a data-driven mindset and elevating the analytical capabilities of team members throughout the company.

What Excites us

• You have a background working in similar fast paced product-driven teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed product decisions
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of a product
• You have extensive experience with data visualisation tools mentioned above and develop compelling visualisations which influence decision making and business understanding
• You have advanced SQL skills and intermediate Python skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes
• You have a background working in similar fast paced teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed decisions.
• You are solution-oriented and able to own projects from start to finish. You are comfortable motivating stakeholders across the business and negotiating timelines to unblock yourself and make things happen!

Salary range: the expected base salary range for this position is between €32,000 - €48,000.

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.

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and 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 in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community. 
• You enjoy collaborating and learning from people from various backgrounds and experiences. 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.

What excites you 

• Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
• Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
• Assist marketing teams in A/B test design and execution and analysing results using statistical methods
• Ensure data quality, accuracy and consistency across all marketing sources
• Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).

What excites us  

Essentials:

• You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role. 
• You have knowledge of common marketing measurement metrics, tools & methodology.
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
• You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
• You are proficient in basic SQL

Nice to have:

• A basic knowledge of Python/R is advantageous but not essential
• You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: €32,000 - €48,000 

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.

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and 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 in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Domo, Tableau, Python, Looker, Google Cloud Platform, dbt, Airflow, Supermetrics & Demandbase amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless, we excel in experimentation to optimise user acquisition, activation, and retention through continuous discovery and data-driven decision making. As a Growth Analyst, you will partner across Growth, Commercial Strategy, and the wider Data & Business Systems team to design and deliver analytics that shape our self-serve business. You will be instrumental in evaluating performance across the full funnel — from acquisition to monetisation — and in generating insights that influence strategic decisions. 

What excites you 

• Shape commercial measurement across the funnel, collaborating with Growth Marketing, Sales, Commercial Finance and Product to track and evaluate how our acquisition, activation, and monetisation initiatives drive incremental customer and revenue growth.
• You will translate complex data into clear, actionable recommendations that inform go-to-market strategy, pricing, and self-serve optimisation
• Be responsible for defining how we understand return on investment & growth across growth initiatives 
• Proactively identify the biggest growth opportunities in our key channels by delivering deep analysis into customer segments, lifetime values (LTVs), diminishing returns etc and helping the team to prioritise and implement.
• Applying quantitative analysis, generate actionable insights and drive the adoption of your proposed changes in marketing by influencing stakeholders
• Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Amplitude), Automation (Python), AI (Gemini, Claude)

What excites us  

• You bring strong analytical skills with experience linking data to revenue outcomes — whether through funnel analysis, cohort performance, pricing impact, or channel economics.
• You can distil complex analysis into clear recommendations for commercial and non-technical stakeholders, influencing strategy across Growth, Marketing, and Product.
• You have a bias for experimentation and discovery, always seeking ways to uncover new opportunities to improve acquisition, activation, retention, and monetisation.
• You have a background working in similar commercial analytics roles and have a deep understanding of the domain & and are very knowledgeable of growth strategies
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the commercial strategy
• You have extensive experience owning and developing experiment processes, including running A/B tests, and have a very strong understanding of testing and experimental design
• You have extensive experience with data visualisation tools mentioned above and demonstrate storytelling ability with data in order to influence decision making and growth understanding
• You have advanced SQL skills and intermediate Python/R skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: €41,600 - €62,400

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.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development.
• Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.
• Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals.
• Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production.
• Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.

What excites you

• Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team.
• Mentoring a high-performing team and fostering a culture of technical excellence.
• Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• 2+ years managing Data Scientists within complex, high-stakes domains.
• A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment.
• A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership.
• Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus).

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.
• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.

• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

Base salary range: €64,000 - €96,000

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.

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.

• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

Base salary range: £99,200 - £148,800

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.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

Base salary range: €64,000 - €96,000

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.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

Base salary range: £99,200 - £148,800

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.

GoCardless are here to support you and we’re committed to making the hiring process inclusive and accessible for everyone. If you need any extra support or any adjustments made, please reach out to your Talent Partner.

Remember, we don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply

Platform Engineering at GoCardless

The Platform Engineering team is a unified, globally distributed team. We are currently located in London and Riga, and we are now expanding to our new hub in Lisbon. 

We work with all other engineering teams to empower them to build, release, run and scale their products.

We operate with a strong focus on both strategic project delivery and operational excellence. 

Our work is a balance of:

• Project Delivery: Building new platform components, from initial design to deployment.
• Operational Support: Ensuring the health and stability of our systems through on-call rotations and incident management.
• Business as Usual (BAU): Continuous maintenance, improvements, and support for audits and compliance.

Tech stack and tools:

• Python, Ruby, Golang;
• Terraform;
• Atlantis 
• AWS, GCP;
• Kubernetes, GKE;
• Github, GitHub Actions, ArgoCD;
• Grafana, Prometheus;
• Elastic

What excites you:

We use a wide range of technologies, and will never expect you to have experience with all of them. We do hope that you are enthusiastic about the infrastructure space and the impact your work can have on others. To enjoy this work you’ll be excited by:

• Building and maintaining automation of new and existing infrastructure;
• Appreciate and believe in building easy-to-understand and maintain tools to solve problems;
• Automating operational tasks to eliminate toil using your software development skills and experience;
• Ensuring that systems are safe and secure against cybersecurity threats;
• Working closely with software engineers and data scientists;
• Being involved in the technical design of architecture and making technical decisions;
• Cloud-first engineering;
• Ongoing opportunities to further develop your skills;
• Care about working with people who share the same values as you and who will continually push you to grow.

What excites us 

• Experience with at least one programming language such as Python, Ruby, Golang etc.;
• Experience with IaC tooling, such as Terraform;
• Previous experience with Terraform automation toolings such as Terragrunt or Atlantis will be considered an advantage;
• Experience with cloud computing providers such as AWS or GCP;
• Experience with containerized applications;
• Previous experience with container orchestration such as Kubernetes and GKE will be considered an advantage;
• Experience with CI/CD tooling such as Github, GitHub Actions, ArgoCD, etc.;
• Experience working with monitoring tooling such as Grafana, Prometheus, Zabbix etc.;
• Experience with relational databases and other datastores, especially around high availability and performance optimisation;
• Awareness of DevOps and Agile principles;
• Fluency in English;
• Excellent teamwork and communication skills.

Base salary range: the expected base salary range for this position is between €64,000 - €96,000.

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.

Engineering at GoCardless 

The technical challenges of building GoCardless span from simplifying building banking schemes to optimising the time to render the dashboard. 

You will enjoy being an Engineering Manager at GoCardless if:

• You’re looking to champion a great engineering culture within GC and in the wider engineering community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our engineers contribute to the engineering culture within and outside of GoCardless: they contribute to Open Source Software projects (see our Github), and share learnings in post-mortems, conferences and on our blog.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task.

Technologies we use across GoCardless include: Ruby on Rails, Golang, Python, JavaScript, TypeScript, React, Postgres, BigQuery, Kubernetes, Elasticsearch, Prometheus, Google Cloud (GCP).

The role

This is an exciting and unique opportunity to join GoCardless in our new Lisbon hub as an Engineering Manager.

As one of the founding employees in a Lisbon hub, you’ll be helping us build creative and fulfilled product engineering teams, technically leading them to become the best engineers they can be.

You will lead talented and creative engineers who build products and systems they are proud of. You will push for exceptionally high-quality work and empower our engineers to make a big impact.

Joining us at this stage means your work will have an impact on the success of our new hub, but also across the wider GoCardless organisation. This is a fantastic chance to be part of something new, innovative and truly aligned with our mission to simplify payments globally.

What excites you 

• Shipping stuff: you’ll work with your team to support changes to completion, delivering consistent positive impact across your product area. Being comfortable delivering a range of projects: from MVP experiments testing a hypothesis to a new feature
• Developing talent: You hire and grow engineers into being the best engineers they can be, while maintaining a supportive and engaging team culture
• Raising the technical bar: You insist on high standards of technical design and implementation and ensure your systems are operationally excellent
• Deliver project work while managing the expectations of your stakeholders
• Plan and prioritise impactful technical investment initiatives for your teams
• Be a reflection of the GC Values that help us work with one another effectively

What excites us  

• Professional experienced in coding - with Ruby on Rails for backend and JavaScript/React on frontend, and a commitment to building reliable, well-tested systems
• Enthusiastic about working in a strong culture of experimentation, testing and learning - to help us in experimenting ways to grow our product!
• Someone excited about supporting and growing a group of engineers, helping them become the best engineers they can be
• Somebody able to effectively communicate - mainly technical topics to technical and non-technical audiences
• Collaboration and cross-functional work - we have a Product Manager, Designer and BI Analyst as part of our team and work with a lot of other commercial teams across the business
• High agency: We’re after people who aren’t afraid of a challenge and will take ownership of problems they come across, help to resolve them and adapt to a constantly changing environment 

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply. 

Base salary range: €70,400 - €105,600

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.

The role

As a Product Security Engineer, you will enable development teams to take ownership of the security and privacy of their product by collaborating to set requirements and standards, performing design reviews and vulnerability assessments, and helping build security controls. You will also work closely with the dedicated Security Operations and Security Engineering teams. 

You will be someone who has experience securing a cloud-native environment, and, in particular, in embedding security and privacy standards in engineering functions. You should also be comfortable automating security and privacy engineering and performing various security assessments.

What excites you 

• Developing high-quality code for extensive tasks, showcasing proficiency in leading systems and architecture design independently. 
• Leading the design and documentation processes for complex tasks, breaking them down into manageable segments for team collaboration while also handling the most challenging portions.
• Contributing significantly to the company-wide systems architecture, impacting the organisation's technological landscape.
• Providing guidance to developers and architects on secure coding methodologies, architectural design, and security best practices, fostering a culture of excellence within the team.
• Overseeing the vulnerability management program, conducting routine assessments, prioritising resolutions, and tracking progress towards securing systems.
• Demonstrating advanced proficiency in security testing, ensuring comprehensive evaluations of system, application, and network security postures.
• Creating and maintaining robust security policies, procedures, and guidelines for effective programme management.

What excites us  

• Experience in cloud-based application and infrastructure security - especially, DevSecOps
• Background in threat modelling and security architecture/secure design
• Awareness of or exposure to security and privacy standards, such as ISO27001, SOC1, CyberEssentials, GDPR, or similar
• Nice to have: Cybersecurity certifications, such as CISSP, CEH, Professional Cloud Security Engineer, or similar
• Technical experience in working with cloud computing providers such as GCP or AWS
• Technical leadership qualities -  setting direction alongside the managers and supporting the security team in technical development. 

Base salary range: €40,000 to €60,000 gross annually

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.

The role

As a Product Security Engineer, you will enable development teams to take ownership of the security and privacy of their product by collaborating to set requirements and standards, performing design reviews and vulnerability assessments, and helping build security controls. You will also work closely with the dedicated Security Operations and Security Engineering teams. 

You will be someone who has experience securing a cloud-native environment, and, in particular, in embedding security and privacy standards in engineering functions. You should also be comfortable automating security and privacy engineering and performing various security assessments.

What excites you 

• Developing high-quality code for extensive tasks, showcasing proficiency in leading systems and architecture design independently. 
• Leading the design and documentation processes for complex tasks, breaking them down into manageable segments for team collaboration while also handling the most challenging portions.
• Contributing significantly to the company-wide systems architecture, impacting the organisation's technological landscape.
• Providing guidance to developers and architects on secure coding methodologies, architectural design, and security best practices, fostering a culture of excellence within the team.
• Overseeing the vulnerability management program, conducting routine assessments, prioritising resolutions, and tracking progress towards securing systems.
• Demonstrating advanced proficiency in security testing, ensuring comprehensive evaluations of system, application, and network security postures.
• Creating and maintaining robust security policies, procedures, and guidelines for effective programme management.

What excites us  

• Experience in cloud-based application and infrastructure security - especially, DevSecOps
• Background in threat modelling and security architecture/secure design
• Awareness of or exposure to security and privacy standards, such as ISO27001, SOC1, CyberEssentials, GDPR, or similar
• Nice to have: Cybersecurity certifications, such as CISSP, CEH, Professional Cloud Security Engineer, or similar
• Technical experience in working with cloud computing providers such as GCP or AWS
• Technical leadership qualities -  setting direction alongside the managers and supporting the security team in technical development. 

Base salary range: €4,133 to €6,200 gross monthly

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.

Platform Engineering at GoCardless

The Platform Engineering team is a unified, globally distributed team. We are currently located in London and Riga, and we are now expanding to our new hub in Lisbon. We work with all other engineering teams to empower them to build, release, run and scale their products.

We operate with a strong focus on both strategic project delivery and operational excellence. Our work is a balance of:

• Project Delivery: Building new platform components, from initial design to deployment.
• Operational Support: Ensuring the health and stability of our systems through on-call rotations and incident management.
• Business as Usual (BAU): Continuous maintenance, improvements, and support for audits and compliance.

Our stack includes: Golang, Python, Ruby, Terraform, Atlantis, AWS, GCP, Kubernetes, GKE, Github, GitHub Actions, ArgoCD, Grafana, Prometheus and Elastic.

The role

Foundations group is searching for an engineer with a strong interest in infrastructure management and the site reliability engineering problem space. You will be a member of a distributed team working with all other engineering teams - from product to data - to help build and scale the global platform our payments and open banking products sit on.

If you enjoy hard challenges, value learning and want to create an impact, then this is a place for you.

What excites you 

We use a wide range of technologies, and will never expect you to have experience with all of them. We do hope that you are enthusiastic about the infrastructure space and the impact your work can have on others. To enjoy this work you’ll be excited by:

• Building and maintaining automation of new and existing infrastructure;
• Appreciate and believe in building easy-to-understand and maintain tools to solve problems;
• Automating operational tasks to eliminate toil using your software development skills and experience;
• Ensuring that systems are safe and secure against cybersecurity threats;
• Working closely with software engineers and data scientists;
• Being involved in the technical design of architecture and making technical decisions;
• Cloud-first engineering;
• Ongoing opportunities to further develop your skills;
• Care about working with people who share the same values as you and who will continually push you to grow.

What excites us  

• Experience with at least one programming language such as Python, Ruby, Golang etc.;
• Experience with IaC tooling, such as Terraform;
• Previous experience with Terraform automation toolings such as Terragrunt or Atlantis will be considered an advantage;
• Experience with cloud computing providers such as AWS or GCP;
• Experience with containerized applications;
• Previous experience with container orchestration such as Kubernetes and GKE will be considered an advantage;
• Experience with CI/CD tooling such as Github, GitHub Actions, ArgoCD, etc.;
• Experience working with monitoring tooling such as Grafana, Prometheus, Zabbix etc.;
• Previous experience with centralised log management through Elastic tooling will be considered an advantage;
• Experience with relational databases and other datastores, especially around high availability and performance optimisation;
• Awareness of DevOps and Agile principles;
• Fluency in English;
• Excellent teamwork and communication skills.

Salary range: the expected base salary range for this position is between €42,400 - €63,600 (gross).

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.

The role

We believe in making lives easier by building outstanding experiences.

We're looking for inspired and curious people to join the design function to help develop the culture, and define principles to set the direction for the future of GoCardless products.

GoCardless teams strive to deliver meaningful change to the people and processes we serve. Whether it's an internal tool or an outward-facing product, we take pride in our craft from insight to application, aiming to elevate our product and make it easy for our customers to get value.

As an ideal candidate, you can work autonomously, can collaborate well with different teams, are familiar with all UX best practices, and have strong visual design skills. Existing experience with experimentation practices are beneficial.

What excites you 

• You care about craft and constantly strive to raise the bar of quality across products.
• You have a growth mindset, motivated by driving business outcomes.
• You care about craft and constantly strive to raise the bar of quality across products.
• You’re a master of the end-to-end process, from researching and discovering problems through to designing the solution and providing input to delivery.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You are passionate about designing and improving products by experimenting, prototyping and applying an iterative approach to validate ideas and learn.
• You care about the customer and design products to suit their needs.

What excites us  

• Curiosity to learn: We want designers with an appetite to learn whether its customer needs, self-development, or embracing new technologies
• A systems thinker: We’re looking for a designer who can scale our experiences to large audiences ensuring the quality scales in tandem such as AI
• Innovative problem solving: We want designers who push the boundaries of what’s possible when designing solutions
• You are a team player: We are a close team and thrive on collaboration, the sharing of ideas and honest critique

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply. 

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development.
• Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.
• Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals.
• Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production.
• Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.

What excites you

• Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team.
• Mentoring a high-performing team and fostering a culture of technical excellence.
• Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• 2+ years managing Data Scientists within complex, high-stakes domains.
• A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment.
• A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership.
• Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus).
  
  

Base salary range: €64,000 - €96,000

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.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development.
• Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.
• Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals.
• Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production.
• Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.

What excites you

• Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team.
• Mentoring a high-performing team and fostering a culture of technical excellence.
• Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• 2+ years managing Data Scientists within complex, high-stakes domains.
• A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment.
• A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership.
• Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus).
  
  

Base salary range: £99,200 - £148,800 

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.