Job Description We are looking for an ambitious, analytical, and AI-native Senior Specialist to join our global Growth Operations & Lifecycle hub. Reporting directly to the Head of Growth Operations & Lifecycle Globally, this is a pure, technical operations and systems role. You won't be managing campaign calendars, writing email copy, or designing creative assets. Instead, you will be the absolute engine room of our global marketing team-architecting, scaling, and optimizing the technical data flows that power our multi-segment execution across Enterprise, Mid-Marketing and growth segments. Your mandate is to drive the continuous technical evolution of our MarTech stack. You will take ownership of evaluating new technologies, leading platform migrations, removing architectural technical debt, and ensuring our core systems are unified, scalable, and leak-free. MarTech Architecture & Infrastructure Evolution Lead Technology Evaluations: Serve as the operational lead for major software and platform reviews; gathering cross-functional technical requirements, managing vendor evaluations, and mapping out structural dependencies. Stack Overhaul & Integration: Lead the technical migration and backend overhaul of our core marketing systems, ensuring seamless data synchronization and configuration with our primary CRM environment. System Integrity & Diagnostics: Conduct routine, deep-dive technical audits of our infrastructure to identify data mismatches, routing bottlenecks, or automation leaks, resolving non-routine platform issues independently. Multi-Segment Operational Scaling Cross-Segment Frameworks: Build and manage the backend routing, scoring, and data models required to simultaneously fuel long-cycle Enterprise buyer journeys and high-velocity B2B segments. AI-Native Automation: Actively pilot and integrate AI-driven tools, webhooks, and modern automation scripts into our daily infrastructure to scale system capabilities and erase manual bottlenecks. Agile Project Delivery: Navigate fast-moving global technical initiatives by managing an operational backlog, scoping technical tasks with precision, and executing updates with speed and rigor. Technical Governance & Attribution Attribution Architecture: Build and maintain the backend tracking frameworks necessary for advanced multi-touch marketing attribution, connecting system performance straight to commercial outcomes. Global Guardrails: Establish and enforce strict operational governance, unified system labeling protocols, and clear data hygiene standards across all global regions to ensure a single source of truth. Desired Background & Competencies The Ops DNA: You have solid, dedicated experience purely in Marketing Operations, Marketing Systems Engineering, or MarTech Management within a fast-paced B2B, SaaS, or Fintech environment. Platform Expertise: You are an administrator-level power user of major enterprise marketing automation platforms and possess a highly sophisticated understanding of CRM data architecture and relational databases. Migration & Implementation Experience: You've been through the trenches of a major platform migration, software implementation, or complex technology onboarding process before. You know how to evaluate tech objectively and plan for zero system downtime. An AI Native: You don't treat AI as a buzzword. You naturally use AI utilities, automated workflows, and modern tooling to supercharge your own productivity and solve complex logical puzzles. Lateral & Analytical Thinker: You possess massive analytical capability. You don't just execute a technical ticket blindly-you look at systems laterally, frame your work in terms of commercial outcomes (not just activities), and understand how a technical change impacts the broader pipeline. Ambitious & Resilient: You thrive on ownership, excel in fast-moving environments, and are comfortable managing multiple technical projects simultaneously while maintaining an uncompromising quality bar.
15/07/2026
Full time
Job Description We are looking for an ambitious, analytical, and AI-native Senior Specialist to join our global Growth Operations & Lifecycle hub. Reporting directly to the Head of Growth Operations & Lifecycle Globally, this is a pure, technical operations and systems role. You won't be managing campaign calendars, writing email copy, or designing creative assets. Instead, you will be the absolute engine room of our global marketing team-architecting, scaling, and optimizing the technical data flows that power our multi-segment execution across Enterprise, Mid-Marketing and growth segments. Your mandate is to drive the continuous technical evolution of our MarTech stack. You will take ownership of evaluating new technologies, leading platform migrations, removing architectural technical debt, and ensuring our core systems are unified, scalable, and leak-free. MarTech Architecture & Infrastructure Evolution Lead Technology Evaluations: Serve as the operational lead for major software and platform reviews; gathering cross-functional technical requirements, managing vendor evaluations, and mapping out structural dependencies. Stack Overhaul & Integration: Lead the technical migration and backend overhaul of our core marketing systems, ensuring seamless data synchronization and configuration with our primary CRM environment. System Integrity & Diagnostics: Conduct routine, deep-dive technical audits of our infrastructure to identify data mismatches, routing bottlenecks, or automation leaks, resolving non-routine platform issues independently. Multi-Segment Operational Scaling Cross-Segment Frameworks: Build and manage the backend routing, scoring, and data models required to simultaneously fuel long-cycle Enterprise buyer journeys and high-velocity B2B segments. AI-Native Automation: Actively pilot and integrate AI-driven tools, webhooks, and modern automation scripts into our daily infrastructure to scale system capabilities and erase manual bottlenecks. Agile Project Delivery: Navigate fast-moving global technical initiatives by managing an operational backlog, scoping technical tasks with precision, and executing updates with speed and rigor. Technical Governance & Attribution Attribution Architecture: Build and maintain the backend tracking frameworks necessary for advanced multi-touch marketing attribution, connecting system performance straight to commercial outcomes. Global Guardrails: Establish and enforce strict operational governance, unified system labeling protocols, and clear data hygiene standards across all global regions to ensure a single source of truth. Desired Background & Competencies The Ops DNA: You have solid, dedicated experience purely in Marketing Operations, Marketing Systems Engineering, or MarTech Management within a fast-paced B2B, SaaS, or Fintech environment. Platform Expertise: You are an administrator-level power user of major enterprise marketing automation platforms and possess a highly sophisticated understanding of CRM data architecture and relational databases. Migration & Implementation Experience: You've been through the trenches of a major platform migration, software implementation, or complex technology onboarding process before. You know how to evaluate tech objectively and plan for zero system downtime. An AI Native: You don't treat AI as a buzzword. You naturally use AI utilities, automated workflows, and modern tooling to supercharge your own productivity and solve complex logical puzzles. Lateral & Analytical Thinker: You possess massive analytical capability. You don't just execute a technical ticket blindly-you look at systems laterally, frame your work in terms of commercial outcomes (not just activities), and understand how a technical change impacts the broader pipeline. Ambitious & Resilient: You thrive on ownership, excel in fast-moving environments, and are comfortable managing multiple technical projects simultaneously while maintaining an uncompromising quality bar.
in the United Kingdom is seeking a Data Scientist to advance ML models and estimators that boost payment performance across our merchants portfolio. You will collaborate with Data Scientists, Product, and Engineering to deploy robust features and maintain observability for safe model launches. You will design experiments, handle time based data leakage, and communicate results clearly, leveraging Python for model training and productionizing features across core products.
15/07/2026
Full time
in the United Kingdom is seeking a Data Scientist to advance ML models and estimators that boost payment performance across our merchants portfolio. You will collaborate with Data Scientists, Product, and Engineering to deploy robust features and maintain observability for safe model launches. You will design experiments, handle time based data leakage, and communicate results clearly, leveraging Python for model training and productionizing features across core products.
Company Description powers the payments behind many digital experiences. We are where the world checks out, enabling over 10 billion transactions yearly for more than a billion global shoppers. Whether you book a holiday, order food, renew a subscription, or shop online, our tech powers the payments. Our platform helps businesses deliver effortless digital experiences at scale. We move fast, think globally, and believe great teams are built by exceptional people with conviction, curiosity, and a desire to make an impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech and just getting started. About the Role is looking for a Data Scientist to join our ambitious team, focused on discovering, designing, and experimenting with new estimators, models, and features to boost payment performance across our merchants portfolio. You will work closely with Data Scientists, Product, and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. Key Responsibilities Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance. Design and implement experiments to produce actionable insights, focusing on managing time based data leakage and ensuring robust model evaluation. Collaborate with other Data Scientists and engineers to productionise ML features, models, and evolve our evaluation and monitoring frameworks. Write high quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical and non technical audiences. About You 3+ years of experience developing machine learning models to solve business problems. Strong understanding of supervised ML algorithms, tuning, and performance evaluation. Experience with a range of feature engineering techniques (e.g., target encoding). Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. Experience in writing clean, production grade Python code for both model training and inference. Excited to leverage LLMs for coding support and process optimisation to maximise personal and team productivity. Nice to Have Experience with advanced data transformation techniques (e.g., lambda functions). Familiarity with, or hands on experience in, recommender systems, contextual bandits, or network intelligence applications. Experience in fintech, payments, or building cross disciplinary relationships for advice and guidance. Familiarity with the Unix shell, Databricks, Docker, and common cloud platforms (GCP or AWS). Additional Information Bring all of you to work. We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. You'll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It's a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team and back each other to succeed. So whatever your background or identity, if you're ready to grow and make a difference, you'll be right at home here. We want to set you up for success and make our process as accessible as possible. Please let us know if you need anything to make your experience or working environment more comfortable. Life at We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it's like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at follow us on LinkedIn and Instagram.
15/07/2026
Full time
Company Description powers the payments behind many digital experiences. We are where the world checks out, enabling over 10 billion transactions yearly for more than a billion global shoppers. Whether you book a holiday, order food, renew a subscription, or shop online, our tech powers the payments. Our platform helps businesses deliver effortless digital experiences at scale. We move fast, think globally, and believe great teams are built by exceptional people with conviction, curiosity, and a desire to make an impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech and just getting started. About the Role is looking for a Data Scientist to join our ambitious team, focused on discovering, designing, and experimenting with new estimators, models, and features to boost payment performance across our merchants portfolio. You will work closely with Data Scientists, Product, and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. Key Responsibilities Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance. Design and implement experiments to produce actionable insights, focusing on managing time based data leakage and ensuring robust model evaluation. Collaborate with other Data Scientists and engineers to productionise ML features, models, and evolve our evaluation and monitoring frameworks. Write high quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical and non technical audiences. About You 3+ years of experience developing machine learning models to solve business problems. Strong understanding of supervised ML algorithms, tuning, and performance evaluation. Experience with a range of feature engineering techniques (e.g., target encoding). Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. Experience in writing clean, production grade Python code for both model training and inference. Excited to leverage LLMs for coding support and process optimisation to maximise personal and team productivity. Nice to Have Experience with advanced data transformation techniques (e.g., lambda functions). Familiarity with, or hands on experience in, recommender systems, contextual bandits, or network intelligence applications. Experience in fintech, payments, or building cross disciplinary relationships for advice and guidance. Familiarity with the Unix shell, Databricks, Docker, and common cloud platforms (GCP or AWS). Additional Information Bring all of you to work. We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. You'll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It's a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team and back each other to succeed. So whatever your background or identity, if you're ready to grow and make a difference, you'll be right at home here. We want to set you up for success and make our process as accessible as possible. Please let us know if you need anything to make your experience or working environment more comfortable. Life at We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it's like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at follow us on LinkedIn and Instagram.
How You'll Make an Impact Identity Support: Assist with the day-to-day administration of Okta, including troubleshooting joiner/mover/leaver workflows and assisting with basic SSO application integrations. Platform Maintenance: Support the administration of the Atlassian suite (Jira/Confluence) and other SaaS tools, helping to manage user permissions, project space creation, and basic configuration updates. Endpoint Management: You will provide technical support for a fleet of macOS and Windows endpoints, using Microsoft Intune and Jamf, you will be responsible for supporting device enrollment, software distribution, and policy management. Automation Learning: Work alongside Senior Engineers to understand our automation pipelines. You will help maintain existing scripts (Python/PowerShell) and contribute to small automation improvements. Incident Response: Act as the first technical point of contact for escalated IT issues. You will document symptoms, perform initial troubleshooting, and escalate complex problems to the wider engineering team. Asset & SaaS Management: Assist in the lifecycle management of hardware and software, ensuring our asset registers and SaaS license counts are accurate and up to date. Documentation: Create and update "How-to" guides and technical documentation for both internal team use and end-user self-service. Continuous Growth: Actively participate in code reviews and team ceremonies, taking on well-defined tasks to build your technical proficiency and understanding of the business. What We're Looking For Foundational Knowledge: A relevant technical degree, completion of a technical bootcamp, or equivalent hands on experience in a junior technical role. Technical Curiosity: A strong interest in how Identity providers (like Okta or Azure AD) work and a desire to learn protocols such as SAML and SCIM. Problem Solving: A logical approach to troubleshooting. You should be comfortable asking "why" and "how" things work to find the root cause of an issue. Basic Scripting: Exposure to or a strong interest in learning scripting languages (Python, Bash, or PowerShell) to automate repetitive tasks. Atlassian Familiarity: Basic experience using Jira and Confluence is a plus, even if only from a user perspective. Reliability: A dependable team player who follows established procedures, meets deadlines, and communicates progress clearly. Communication: Good verbal and written communication skills, with the ability to explain technical steps clearly to colleagues. Adaptability: Comfortable working in a fast paced environment where priorities can shift quickly. Benefits Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
14/07/2026
Full time
How You'll Make an Impact Identity Support: Assist with the day-to-day administration of Okta, including troubleshooting joiner/mover/leaver workflows and assisting with basic SSO application integrations. Platform Maintenance: Support the administration of the Atlassian suite (Jira/Confluence) and other SaaS tools, helping to manage user permissions, project space creation, and basic configuration updates. Endpoint Management: You will provide technical support for a fleet of macOS and Windows endpoints, using Microsoft Intune and Jamf, you will be responsible for supporting device enrollment, software distribution, and policy management. Automation Learning: Work alongside Senior Engineers to understand our automation pipelines. You will help maintain existing scripts (Python/PowerShell) and contribute to small automation improvements. Incident Response: Act as the first technical point of contact for escalated IT issues. You will document symptoms, perform initial troubleshooting, and escalate complex problems to the wider engineering team. Asset & SaaS Management: Assist in the lifecycle management of hardware and software, ensuring our asset registers and SaaS license counts are accurate and up to date. Documentation: Create and update "How-to" guides and technical documentation for both internal team use and end-user self-service. Continuous Growth: Actively participate in code reviews and team ceremonies, taking on well-defined tasks to build your technical proficiency and understanding of the business. What We're Looking For Foundational Knowledge: A relevant technical degree, completion of a technical bootcamp, or equivalent hands on experience in a junior technical role. Technical Curiosity: A strong interest in how Identity providers (like Okta or Azure AD) work and a desire to learn protocols such as SAML and SCIM. Problem Solving: A logical approach to troubleshooting. You should be comfortable asking "why" and "how" things work to find the root cause of an issue. Basic Scripting: Exposure to or a strong interest in learning scripting languages (Python, Bash, or PowerShell) to automate repetitive tasks. Atlassian Familiarity: Basic experience using Jira and Confluence is a plus, even if only from a user perspective. Reliability: A dependable team player who follows established procedures, meets deadlines, and communicates progress clearly. Communication: Good verbal and written communication skills, with the ability to explain technical steps clearly to colleagues. Adaptability: Comfortable working in a fast paced environment where priorities can shift quickly. Benefits Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
A leading technology company in Greater London is seeking a Junior Technical Support Engineer to assist with Okta administration, endpoint management, and automation scripting. The role requires foundational technical knowledge and problem-solving skills. Candidates should be comfortable with tools like Jira and Confluence and possess good communication skills. The company offers a hybrid working model, with three days in the office to foster collaboration and connection.
14/07/2026
Full time
A leading technology company in Greater London is seeking a Junior Technical Support Engineer to assist with Okta administration, endpoint management, and automation scripting. The role requires foundational technical knowledge and problem-solving skills. Candidates should be comfortable with tools like Jira and Confluence and possess good communication skills. The company offers a hybrid working model, with three days in the office to foster collaboration and connection.
About the Role is on a mission to transform the shopping experience for millions of consumers. As a senior individual contributor in mobile, you'll help design and build the products we put in the hands of our end users. Working hand-in-hand with our engineering team and product leaders, you'll be crafting high-performance, user-friendly experiences that operate at scale. Your role will extend beyond writing code - you'll define architecture, lead technical discovery, and help us build the foundations that underpin our consumer offering. What you'll be doing Architecting and building the mobile experiences that are used directly by millions of consumers around the world. Owning feature development end-to-end, from discovery through to development, and monitoring through to maintenance. Working closely with backend teams to ensure the underlying systems we build are aligned to support our mobile product evolution. Championing best practices across the technical domain (testing, monitoring, release strategy, etc) to strengthen our foundations as we build our products. Mentoring peers, reviewing code, and contributing to the long-term technical vision for mobile development at Should have Solid background in React Native, building scalable and highly performant consumer experiences. Proven track record building across the mobile domain (e.g. experience with native iOS and Android). Experience building and maintaining mobile apps or SDKs used by a large, active, user base. Passionate about developer experience - clear APIs, great docs, and reliability at scale. Excellent communication skills and experience collaborating with product, design, and backend peers. Nice to have Previous experience in payments, fintech, or other security sensitive domains. Exposure to PCI compliance, tokenization, or secure data handling.
14/07/2026
Full time
About the Role is on a mission to transform the shopping experience for millions of consumers. As a senior individual contributor in mobile, you'll help design and build the products we put in the hands of our end users. Working hand-in-hand with our engineering team and product leaders, you'll be crafting high-performance, user-friendly experiences that operate at scale. Your role will extend beyond writing code - you'll define architecture, lead technical discovery, and help us build the foundations that underpin our consumer offering. What you'll be doing Architecting and building the mobile experiences that are used directly by millions of consumers around the world. Owning feature development end-to-end, from discovery through to development, and monitoring through to maintenance. Working closely with backend teams to ensure the underlying systems we build are aligned to support our mobile product evolution. Championing best practices across the technical domain (testing, monitoring, release strategy, etc) to strengthen our foundations as we build our products. Mentoring peers, reviewing code, and contributing to the long-term technical vision for mobile development at Should have Solid background in React Native, building scalable and highly performant consumer experiences. Proven track record building across the mobile domain (e.g. experience with native iOS and Android). Experience building and maintaining mobile apps or SDKs used by a large, active, user base. Passionate about developer experience - clear APIs, great docs, and reliability at scale. Excellent communication skills and experience collaborating with product, design, and backend peers. Nice to have Previous experience in payments, fintech, or other security sensitive domains. Exposure to PCI compliance, tokenization, or secure data handling.
How You'll Make an Impact Lead Strategic Process Transformations: Orchestrate multi functional process redesigns that solve complex business challenges, moving beyond departmental silos to create a unified, high performance operating model. Architect AI First Ecosystems: Act as the primary driver for automation integration projects, leveraging cutting edge AI and machine learning to replace legacy manual touchpoints with intelligent, self optimising systems. Drive Cross Functional Alignment: Partner with stakeholders outside of core operations to identify dependencies and ensure that process improvements in one area do not create friction in another. Advanced Analytics & Insights: Use statistical process analysis and predictive modelling to identify high value transformation projects before bottlenecks even occur. Establish Governance & Standards: Design and implement robust process governance frameworks to ensure global compliance and mitigate risk across all organisational levels. Mentor & Scale Capability: Build organisational capability by coaching more junior Process Architects (Analyst I & II) and driving the adoption of advanced process methodologies such as Lean Six Sigma. What We're Looking For Experience: Minimum 4+ years in Operations, Process Excellence, Management Consulting or Business Transformation, with a proven track record of managing strategic process initiatives. Strategic Thinking: Ability to align process improvements with broader business strategy, understanding the commercial impact of every operational change. Expert Stakeholder Management: Demonstrated ability to manage complex stakeholder relationships across all organisational levels, including influencing C suite and VP level leaders. Technological Innovation: Deep proficiency in technology integration, specifically identifying and implementing complex automation and AI solutions that scale. Advanced Problem Solving: Expert level skills in root cause analysis and statistical optimisation techniques to drive data backed decision making. Adaptability & Vision: A mission driven leader who excels in ambiguous environments and has a passion for building the "future state" of a global fintech leader. Advanced certifications (e.g., Lean Six Sigma Green Belt, PMP) are highly desirable.
14/07/2026
Full time
How You'll Make an Impact Lead Strategic Process Transformations: Orchestrate multi functional process redesigns that solve complex business challenges, moving beyond departmental silos to create a unified, high performance operating model. Architect AI First Ecosystems: Act as the primary driver for automation integration projects, leveraging cutting edge AI and machine learning to replace legacy manual touchpoints with intelligent, self optimising systems. Drive Cross Functional Alignment: Partner with stakeholders outside of core operations to identify dependencies and ensure that process improvements in one area do not create friction in another. Advanced Analytics & Insights: Use statistical process analysis and predictive modelling to identify high value transformation projects before bottlenecks even occur. Establish Governance & Standards: Design and implement robust process governance frameworks to ensure global compliance and mitigate risk across all organisational levels. Mentor & Scale Capability: Build organisational capability by coaching more junior Process Architects (Analyst I & II) and driving the adoption of advanced process methodologies such as Lean Six Sigma. What We're Looking For Experience: Minimum 4+ years in Operations, Process Excellence, Management Consulting or Business Transformation, with a proven track record of managing strategic process initiatives. Strategic Thinking: Ability to align process improvements with broader business strategy, understanding the commercial impact of every operational change. Expert Stakeholder Management: Demonstrated ability to manage complex stakeholder relationships across all organisational levels, including influencing C suite and VP level leaders. Technological Innovation: Deep proficiency in technology integration, specifically identifying and implementing complex automation and AI solutions that scale. Advanced Problem Solving: Expert level skills in root cause analysis and statistical optimisation techniques to drive data backed decision making. Adaptability & Vision: A mission driven leader who excels in ambiguous environments and has a passion for building the "future state" of a global fintech leader. Advanced certifications (e.g., Lean Six Sigma Green Belt, PMP) are highly desirable.
A leading tech company in Greater London is seeking a Software Engineer to build and iterate on Generative AI solutions. The role involves partnering with product managers and non-technical users to develop high-impact AI use cases, design user-facing products, and build LLM-based applications on cloud platforms like AWS or GCP. Ideal candidates hold a degree in Computer Science/Engineering and possess strong backend engineering and AI expertise, with communication skills across diverse teams.
14/07/2026
Full time
A leading tech company in Greater London is seeking a Software Engineer to build and iterate on Generative AI solutions. The role involves partnering with product managers and non-technical users to develop high-impact AI use cases, design user-facing products, and build LLM-based applications on cloud platforms like AWS or GCP. Ideal candidates hold a degree in Computer Science/Engineering and possess strong backend engineering and AI expertise, with communication skills across diverse teams.
A leading fintech company based in London is seeking a Data Analytics Engineer to enable key insights on product performance and establish a single source of truth for metrics. This role involves designing and implementing scalable data models, collaborating with product teams, and ensuring data quality governance. The successful candidate will have significant experience in data modeling, analytics engineering, and SQL proficiency. The position follows a hybrid working model, ensuring flexibility and collaboration.
14/07/2026
Full time
A leading fintech company based in London is seeking a Data Analytics Engineer to enable key insights on product performance and establish a single source of truth for metrics. This role involves designing and implementing scalable data models, collaborating with product teams, and ensuring data quality governance. The successful candidate will have significant experience in data modeling, analytics engineering, and SQL proficiency. The position follows a hybrid working model, ensuring flexibility and collaboration.
Job Description As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product's evolution at Checkout. You'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. You'll have end-to-end ownership of multiple data products from design to implementation to the operationalisation. How You'll Make An Impact Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting Continuously discover, transform, test, deploy and document data sources and data models Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews Take initiative to improve and optimise analytics engineering workflows and platforms Key Requirements Proven delivery experience as a data, business intelligence or analytics engineer Hands-on proven data modelling and data warehousing skills demonstrated in large-scale data environments Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/or product analytics data Good attention to detail to highlight and address data quality issues
14/07/2026
Full time
Job Description As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product's evolution at Checkout. You'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. You'll have end-to-end ownership of multiple data products from design to implementation to the operationalisation. How You'll Make An Impact Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting Continuously discover, transform, test, deploy and document data sources and data models Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews Take initiative to improve and optimise analytics engineering workflows and platforms Key Requirements Proven delivery experience as a data, business intelligence or analytics engineer Hands-on proven data modelling and data warehousing skills demonstrated in large-scale data environments Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/or product analytics data Good attention to detail to highlight and address data quality issues
A leading data technology firm in Greater London is looking for a Data Analytics Engineer to design and implement scalable data models. You will collaborate closely with product managers and data scientists, continuously enhancing analytics and data quality. Key qualifications include proven data modeling experience, excellent SQL skills, and familiarity with cloud technologies like Snowflake. This role provides a great opportunity to drive meaningful insights and product evolution in a dynamic environment, making a significant impact on the company's analytics strategy.
14/07/2026
Full time
A leading data technology firm in Greater London is looking for a Data Analytics Engineer to design and implement scalable data models. You will collaborate closely with product managers and data scientists, continuously enhancing analytics and data quality. Key qualifications include proven data modeling experience, excellent SQL skills, and familiarity with cloud technologies like Snowflake. This role provides a great opportunity to drive meaningful insights and product evolution in a dynamic environment, making a significant impact on the company's analytics strategy.
Company Description We're - you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen. is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why. With 19 offices spanning six continents, we feel at home everywhere - but London is our HQ. Wherever our people work their magic, they're fast-moving, performance obsessed, and driven by being better every day. Ideal. Because a role here isn't just another job; it's a career defining opportunity to build the future of fintech. Job Description As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product's evolution at Checkout. You'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. You'll have end to end ownership of multiple data products from design to implementation to the operationalisation. How You'll Make An Impact Design and implement high performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self serve analytics Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting Continuously discover, transform, test, deploy and document data sources and data models Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews Take initiative to improve and optimise analytics engineering workflows and platforms Key Requirements Proven delivery experience as a data, business intelligence or analytics engineer Hands on proven data modeling and data warehousing skills demonstrated in large scale data environments Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/or product analytics data Good attention to detail to highlight and address data quality issues Benefits Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
14/07/2026
Full time
Company Description We're - you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen. is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why. With 19 offices spanning six continents, we feel at home everywhere - but London is our HQ. Wherever our people work their magic, they're fast-moving, performance obsessed, and driven by being better every day. Ideal. Because a role here isn't just another job; it's a career defining opportunity to build the future of fintech. Job Description As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product's evolution at Checkout. You'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. You'll have end to end ownership of multiple data products from design to implementation to the operationalisation. How You'll Make An Impact Design and implement high performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self serve analytics Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting Continuously discover, transform, test, deploy and document data sources and data models Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews Take initiative to improve and optimise analytics engineering workflows and platforms Key Requirements Proven delivery experience as a data, business intelligence or analytics engineer Hands on proven data modeling and data warehousing skills demonstrated in large scale data environments Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/or product analytics data Good attention to detail to highlight and address data quality issues Benefits Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
A fintech leader is seeking a skilled professional to lead strategic process transformations and architect AI-first ecosystems. The role requires a minimum of 4 years in Operations or Business Transformation, focusing on aligning process improvements with business strategy. The ideal candidate excels in stakeholder management and has a strong background in technology integration. Additional responsibilities include establishing governance frameworks and mentoring junior team members, with an emphasis on adaptive leadership and innovative problem solving.
14/07/2026
Full time
A fintech leader is seeking a skilled professional to lead strategic process transformations and architect AI-first ecosystems. The role requires a minimum of 4 years in Operations or Business Transformation, focusing on aligning process improvements with business strategy. The ideal candidate excels in stakeholder management and has a strong background in technology integration. Additional responsibilities include establishing governance frameworks and mentoring junior team members, with an emphasis on adaptive leadership and innovative problem solving.
A leading fintech company in Greater London seeks a Senior Mobile Developer to architect and build user-friendly mobile experiences. You will own feature development from start to finish, working with backend teams to ensure scalable solutions. Ideal candidates have a strong React Native background, experience with native iOS and Android, and a passion for developer experience. Join a mission to redefine consumer shopping through innovative mobile solutions.
14/07/2026
Full time
A leading fintech company in Greater London seeks a Senior Mobile Developer to architect and build user-friendly mobile experiences. You will own feature development from start to finish, working with backend teams to ensure scalable solutions. Ideal candidates have a strong React Native background, experience with native iOS and Android, and a passion for developer experience. Join a mission to redefine consumer shopping through innovative mobile solutions.
A leading global payments company is seeking a Senior Mobile Engineer to lead the development of its mobile app from inception. This role requires 8-10 years of mobile engineering experience with strong expertise in React Native. Responsibilities include making key architecture decisions, ensuring high-performance user experience, and mentoring future hires. Ideal candidates will have solid experience in both iOS and Android native development and a proven record of delivering scalable mobile apps with high active user bases.
14/07/2026
Full time
A leading global payments company is seeking a Senior Mobile Engineer to lead the development of its mobile app from inception. This role requires 8-10 years of mobile engineering experience with strong expertise in React Native. Responsibilities include making key architecture decisions, ensuring high-performance user experience, and mentoring future hires. Ideal candidates will have solid experience in both iOS and Android native development and a proven record of delivering scalable mobile apps with high active user bases.
What we are looking for: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Azure Fundamentals: At least 1 year of experience in a cloud engineering role. You should be familiar with core Azure services such as Azure Kubernetes Service (AKS), Azure Functions, App Services, and CosmosDB. Infrastructure as Code (IaC): Foundational knowledge of Terraform (preferred). Networking & Security: Basic understanding of Azure networking patterns (e.g., Hub-and-Spoke VNet architecture, Azure Front Door, Private Links) and security best practices using Azure Key Vault and RBAC. DevOps Mindset: Experience with CI/CD pipelines (e.g., Azure DevOps or GitHub Actions) and a passion for automation. Problem Solving: Excellent troubleshooting skills and the ability to triage common flows unaided during incidents. AI Curious: You are eager to explore how AI can enhance infrastructure automation and team productivity. Communication: Great communication skills with the ability to provide clear updates on progress and interact with stakeholders to resolve common support queries. How you'll make an impact: Design & Deliver: Confidently build and maintain small-to-medium sized cloud services, ensuring they align with Checkout Engineering standards and architectural patterns. Collaborate & Grow: Partner with Senior Engineers to deliver project-level work within your Atom, while actively participating in team ceremonies and peer reviews. Operational Excellence: Adopt full operational responsibility for your services, providing triage and support to ensure the high availability of our payment systems. System Reasoning: Create solutions that are well-documented and easy to reason about, even for those unfamiliar with the specific system. Continuous Improvement: Proactively identify areas for improvement within your team's cloud footprint and work with mentors to design and implement these enhancements. Ownership: Display high accountability for the tasks you deliver, showing urgency during incidents.
13/07/2026
Full time
What we are looking for: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Azure Fundamentals: At least 1 year of experience in a cloud engineering role. You should be familiar with core Azure services such as Azure Kubernetes Service (AKS), Azure Functions, App Services, and CosmosDB. Infrastructure as Code (IaC): Foundational knowledge of Terraform (preferred). Networking & Security: Basic understanding of Azure networking patterns (e.g., Hub-and-Spoke VNet architecture, Azure Front Door, Private Links) and security best practices using Azure Key Vault and RBAC. DevOps Mindset: Experience with CI/CD pipelines (e.g., Azure DevOps or GitHub Actions) and a passion for automation. Problem Solving: Excellent troubleshooting skills and the ability to triage common flows unaided during incidents. AI Curious: You are eager to explore how AI can enhance infrastructure automation and team productivity. Communication: Great communication skills with the ability to provide clear updates on progress and interact with stakeholders to resolve common support queries. How you'll make an impact: Design & Deliver: Confidently build and maintain small-to-medium sized cloud services, ensuring they align with Checkout Engineering standards and architectural patterns. Collaborate & Grow: Partner with Senior Engineers to deliver project-level work within your Atom, while actively participating in team ceremonies and peer reviews. Operational Excellence: Adopt full operational responsibility for your services, providing triage and support to ensure the high availability of our payment systems. System Reasoning: Create solutions that are well-documented and easy to reason about, even for those unfamiliar with the specific system. Continuous Improvement: Proactively identify areas for improvement within your team's cloud footprint and work with mentors to design and implement these enhancements. Ownership: Display high accountability for the tasks you deliver, showing urgency during incidents.
A leading fintech company in Greater London is seeking a Cloud Engineer to design and deliver cloud services aligned with engineering standards. The ideal candidate will have a Bachelor's or Master's degree and at least one year of experience in cloud engineering, particularly with Azure services. Responsibilities include partnering with senior engineers, maintaining operational excellence, and identifying areas for improvement in cloud infrastructure. Strong communication and problem-solving skills are essential for success in this role.
13/07/2026
Full time
A leading fintech company in Greater London is seeking a Cloud Engineer to design and deliver cloud services aligned with engineering standards. The ideal candidate will have a Bachelor's or Master's degree and at least one year of experience in cloud engineering, particularly with Azure services. Responsibilities include partnering with senior engineers, maintaining operational excellence, and identifying areas for improvement in cloud infrastructure. Strong communication and problem-solving skills are essential for success in this role.
As an ML (Machine Learning) Engineer at in the Disputes ML team, you will contribute to the development of our brand new ML driven dispute optimisation suite. This is a unique opportunity to get in on the ground floor of an expanding area, grow alongside top tier engineers, and make a tangible impact on millions of disputes. How you'll make an impact Build systems for training, deploying and monitoring machine learning models used in our Disputes platform, at scale. Build and optimise data pipelines and backend services to process dispute and payment data in real time. Build and scale our feature store for use cases both online and offline. Take complete ownership of delivering comprehensive, end to end features within a startup like setting, driving the entire lifecycle from requirement refinement, data pipeline construction and model training to troubleshooting and production deployment. Turn raw data into production ready features that feed our dispute systems. Collaborate with platform and backend engineers to integrate models seamlessly. Experience and qualifications 5+ years of experience as an MLOps / ML Engineer. High proficiency in writing clear, production ready Python code. Experience with production ML models (online or offline) and standard MLOps practices. Experience with monitoring and observability of production systems, with a strong sense of ownership. Experience with training and operating models on Databricks. Familiarity with cloud based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams.
12/07/2026
Full time
As an ML (Machine Learning) Engineer at in the Disputes ML team, you will contribute to the development of our brand new ML driven dispute optimisation suite. This is a unique opportunity to get in on the ground floor of an expanding area, grow alongside top tier engineers, and make a tangible impact on millions of disputes. How you'll make an impact Build systems for training, deploying and monitoring machine learning models used in our Disputes platform, at scale. Build and optimise data pipelines and backend services to process dispute and payment data in real time. Build and scale our feature store for use cases both online and offline. Take complete ownership of delivering comprehensive, end to end features within a startup like setting, driving the entire lifecycle from requirement refinement, data pipeline construction and model training to troubleshooting and production deployment. Turn raw data into production ready features that feed our dispute systems. Collaborate with platform and backend engineers to integrate models seamlessly. Experience and qualifications 5+ years of experience as an MLOps / ML Engineer. High proficiency in writing clear, production ready Python code. Experience with production ML models (online or offline) and standard MLOps practices. Experience with monitoring and observability of production systems, with a strong sense of ownership. Experience with training and operating models on Databricks. Familiarity with cloud based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams.
in London is seeking an experienced ML Engineer to join the Disputes ML team and help build our new ML-driven dispute optimisation suite. You will work on end-to-end features from data pipelines to model deployment, collaborating with platform and backend engineers to scale production systems. Applicants should have 5+ years in ML/MLOps, strong Python, Databricks experience, and familiarity with AWS or Azure.
12/07/2026
Full time
in London is seeking an experienced ML Engineer to join the Disputes ML team and help build our new ML-driven dispute optimisation suite. You will work on end-to-end features from data pipelines to model deployment, collaborating with platform and backend engineers to scale production systems. Applicants should have 5+ years in ML/MLOps, strong Python, Databricks experience, and familiarity with AWS or Azure.
is a fintech company that powers digital payment experiences worldwide. The Financial Infrastructure team builds and maintains core systems that process hundreds of billions of financial events each year. As an Analytics Engineer, you will partner with Finance and Treasury teams to translate business requirements into robust data models and pipelines, ensuring data accuracy, reliability, and regulatory compliance as scales. How You'll Make An Impact Design and build data pipelines that process data from our systems, services, and applications. Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability. Collaborate with other analytics engineers to design and implement scalable data models that support downstream operations and analytical queries. Maintain data governance and security standards across our systems. Evaluate and implement new technologies to improve our platform and systems. Work with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements. Qualifications 2+ years of experience in an Analytics Engineering or Data Engineering role focused on large scale data transformation and warehousing. Excellent SQL coding skills. Experience with cloud based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt or Dataflow. Understanding of data modeling techniques. Experience with visualization platforms such as Looker, Tableau, or Apache Superset. Knowledge of software engineering best practices and their application to data processing systems. Familiarity with Python, Java, or Flink is a plus. Strong attention to detail. Ability to work autonomously in a fast paced and dynamic environment. Strong communication and interpersonal skills.
12/07/2026
Full time
is a fintech company that powers digital payment experiences worldwide. The Financial Infrastructure team builds and maintains core systems that process hundreds of billions of financial events each year. As an Analytics Engineer, you will partner with Finance and Treasury teams to translate business requirements into robust data models and pipelines, ensuring data accuracy, reliability, and regulatory compliance as scales. How You'll Make An Impact Design and build data pipelines that process data from our systems, services, and applications. Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability. Collaborate with other analytics engineers to design and implement scalable data models that support downstream operations and analytical queries. Maintain data governance and security standards across our systems. Evaluate and implement new technologies to improve our platform and systems. Work with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements. Qualifications 2+ years of experience in an Analytics Engineering or Data Engineering role focused on large scale data transformation and warehousing. Excellent SQL coding skills. Experience with cloud based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt or Dataflow. Understanding of data modeling techniques. Experience with visualization platforms such as Looker, Tableau, or Apache Superset. Knowledge of software engineering best practices and their application to data processing systems. Familiarity with Python, Java, or Flink is a plus. Strong attention to detail. Ability to work autonomously in a fast paced and dynamic environment. Strong communication and interpersonal skills.