Checkout Ltd

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

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.

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.

Company Description is a global payments company that powers billions of transactions annually. With 19 offices worldwide and a headquarters in London, we focus on creating a seamless checkout experience for merchants. Job Overview As the most senior individual contributor in mobile, you will lead the development of our mobile app from the ground up. This role goes beyond coding to defining architecture, shaping the technical foundation, and delivering a high performance, user friendly experience at scale. What You'll Do Lead the design and implementation of our first mobile app, primarily using React Native, while maintaining flexibility to evolve the tech stack as the product matures. Drive key architecture decisions-navigation, state management, animations, and performance tuning-to ensure scalability and maintainability. Act as the guardian of mobile UX and performance, deciding what should be built in React Native and where native development is the better fit. Partner with backend and product teams to deliver seamless, end to end user journeys. Establish mobile engineering foundations-coding standards, CI/CD pipelines, testing practices, and observability-from the ground up. Mentor future mobile hires, scale the team, and contribute to the hiring process. Qualifications 8-10+ years in mobile engineering, with at least 3 years of production level React Native experience. Solid background in iOS or Android native development, capable of extending and maintaining native modules when needed. Proven experience building and maintaining mobile apps with significant active user bases. Deep understanding of UX, performance bottlenecks, and platform specific edge cases. Strong technical judgment, able to balance trade offs, influence direction, and adapt the stack as required. Excellent communication skills and experience collaborating with product, design, and backend peers. Experience in consumer first industries, ideally with high scale apps (>100K MAUs).

A leading human resources services firm in Greater London seeks a Process Excellence Lead to optimize HR operations. In this role, you will focus on eliminating administrative overhead and developing scalable solutions for a large workforce. The ideal candidate has over 3 years of experience in HR transformation, strong analytical skills, and expertise with process mapping tools like Visio and Lucidchart. This position offers the opportunity to leverage AI and automation to enhance operational efficiency and improve employee experience.

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 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.

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 global payments company is seeking Software Engineers to develop advanced payment technologies and provide exceptional customer experiences. The position requires a Bachelor's or Master's in Computer Science/Engineering and proficiency in languages such as C#, Java, or Go. Candidates should have great communication skills, agile experience, and a knack for problem-solving. This dynamic role involves collaborating across teams to design scalable systems and mentoring junior members, all while pushing technology forward in a fast-paced environment.

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.

Mission: To design and optimize the end-to-end HR processes that drive operational excellence. You will be the bridge between data, people, and systems, taking existing processes, unwinding them, and rebuilding them to be frictionless and robust. Your role is to simplify how work gets done and build automated logic that allows our systems to handle tasks without manual intervention, solving the People team's toughest operational challenges at scale. Role Scope: You will lead high-impact initiatives to shape our global HR operations. Your goal is to eliminate administrative overhead by identifying inefficiencies through data and engineering elegant, scalable solutions. You will tackle complex, unstructured areas of HR and build the process infrastructure required to scale and, ultimately, automate them effectively. As the lead architect, you ensure our processes are human centric, efficient, and optimized for AI and automation. How you'll make an impact: Problem Solving at Scale: Taking a hyper logical approach to break down massive, complex HR problems into small, achievable, and automated tasks. Process Excellence & Design: Simplify complex HR procedures and develop and deploy standardised processes and automated solutions. You identify bottlenecks and remove unnecessary steps before any technology is applied. Scalable Process Engineering: Design processes that scale to 10,000+ employees without increasing headcount. Create comprehensive, step by step process documentation, flowcharts, and SOPs that serve as the single source of truth for global teams. Customer First Impact & Communication: Maintain a "Customer First" mindset to ensure HR tools are seamless for employees, reducing manual burden. You bridge the gap between technical complexity and business reality, providing clear, high impact presentations to global stakeholders. AI and Automation First: Identify and implement AI driven and automation solutions to streamline workflows, resulting in faster resolution times and improved output accuracy. You design the step by step logic for high volume transactions (like leave requests or contract changes) so they happen automatically. Data Driven Decision Making: Use strong analytical skills to dig into performance KPIs, identifying the root causes of delays or errors in areas like Accounts Payable, Reconciliation, or Procurement. Innovation: Leveraging AI and the latest technologies to revolutionise process documentation and associated tooling. System Connectivity: Linking different HR software (like Workday, Slack, Jira, ATS) so they share information automatically, and defining exactly when an automated system should stop and pass a complex case to a human expert. What we're looking for: 3+ years of experience in Process Excellence, Business Transformation, HR Transformation, or Operations. Strong understanding of HR and/or corporate services, processes and functions (desired, not essential). Natural curiosity and a "doer" mentality - you enjoy getting into the weeds of a problem and fixing it. You have successfully executed and maintained multiple projects in a deadline driven and ambiguous environment. Expertise in process mapping tools (Visio, Lucidchart, FigJam) and methodologies (Lean Six Sigma Black/Green Belt preferred). Proven ability to look at the "big picture" and design an operating model that supports hyper growth. A deep understanding of how to use AI and automation tools to streamline process efficiency and quality. Exceptional presentation skills, capable of translating complex data into clear strategic recommendations for executive stakeholders. Experience working in a fast paced, ambiguous environment where you have successfully built structures from scratch.

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.

Job Description As a Product Data Scientist, you'll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your expertise to influence and drive the strategy of our products. You'll help define how we measure the success of our products, collaborate with engineers on how we collect data, design and help build reports/dashboards, and run analyses to find product improvement opportunities. You'll be a co owner of a product, driving it to success in partnership with other cross functional team members. Data Analytics at is a highly visible function that critically impacts the company's success. It underpins our business plans and forms the basis for how we set our company objectives. As a leader in this group, you'll have a wider support network of Analytics Engineers, Product Data Scientists, and Data Product Managers. How you'll make an impact: You'll be responsible for driving analytics of a product pillar. You'll lead a team that defines, measures, and presents metrics, delivering actionable insights. Contribute product roadmaps through data based recommendations and continuously define high impact areas for improvement. Work closely with Data Analytics Engineers and Software Engineers to make sure we collect and model the right data to produce relevant business insights. Foster data culture across products and technology by actively sharing insights and ideas and building positive relationships with colleagues. Build experiments and analysis frameworks to quantify the ROI of product development. Lead by example your team and the broader data community to apply best practices in analytics from data collection to analysis. What we're looking for: Strong communicator, able to explain complex technical topics to non technical team members. Strong analytical mind and demonstrable experience in converting ambiguous problems into structured and data informed solutions. Excellent data interrogation skills with SQL.

A leading fintech company in Greater London is seeking a Product Data Scientist to join their cross-functional team. In this role, you will drive analytics for product pillars, collaborate closely with engineers to ensure proper data collection, and contribute data-based recommendations to enhance product roadmaps. The ideal candidate will possess strong communication skills to convey complex technical topics and demonstrate proficiency in SQL to analyze data effectively. The position offers significant impact within the organization and requires fostering a data-driven culture.

Job Description As a Senior Product Data Scientist, you'll work as part of a cross functional team alongside product managers, designers, and software and analytics engineers, using data and your expertise to influence and drive the strategy of our products. You'll help define how we measure the success of our products, collaborate with engineers on data collection, design and build reports and dashboards, and run analyses to find product improvement opportunities. You'll be a co owner of a product, driving it to success in partnership with other cross functional team members. Data analytics at is a highly visible function that critically impacts the company's success. It underpins our business plans and forms the basis for how we set our company objectives. As a leader in this group, you'll have a wider support network of analytics engineers, product data scientists, and data product managers. How you'll make an impact You'll be responsible for driving analytics of a product pillar, leading a team that defines, measures, and presents metrics and delivers actionable insights. Contribute to product roadmaps through data based recommendations and continuously define high impact areas for improvement. Work closely with data analytics engineers and software engineers to ensure we collect and model the right data to produce relevant business insights. Foster data culture across products and technology by actively sharing insights and ideas and building positive relationships with colleagues. Build experiments and analysis frameworks to quantify the ROI of product development. Lead by example your team and the broader data community to apply best practices in analytics from data collection to analysis. What We're Looking For Strong communicator, able to explain complex technical topics to non technical team members. Experience conducting experiments, building measurement frameworks, and validating the results with relevant quantitative methods. Strong analytical mind and demonstrable experience in converting ambiguous problems into structured and data informed solutions. Excellent data interrogation skills with SQL. Knowledge of applied statistics (e.g., hypothesis testing, regression).

A leading technology company in Greater London is looking for a Senior Product Data Scientist to lead analytics for a product team. You will collaborate with cross-functional members to define product metrics, build insights, and drive improvement strategies. Your expertise in data collection and analysis will be crucial in influencing product roadmaps. Ideal candidates should have strong communication skills and experience in SQL along with a solid analytical background. This role offers a unique chance to impact product success significantly.

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.

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.