Role overview sosafe is looking for a Senior Analytics Engineer to join the team remotely from anywhere in the United Kingdom. This position plays a key role in shaping how data is used to guide company decisions and improve processes. What you will do Design and build data pipelines to support analytics needs across the business Create analytics models that turn data into clear, actionable insights Collaborate with colleagues from various teams to understand their data requirements and deliver tailored solutions Apply data visualization and statistical modeling to interpret business performance and customer behavior Requirements Solid experience in analytics engineering Background in designing data pipelines and developing analytics models Proficiency with data visualization and statistical analysis Strong ability to work with cross-functional teams This is a fully remote role within the UK.

Join Zoopla as a Senior Analytics Engineer and play a pivotal role in driving data-driven decisions across our innovative team. You will leverage your expertise in analytics, data modeling, and visualization to enhance our product features and improve user experience. Your contributions will directly impact how we serve millions of customers seeking their perfect home.

Join Zopa as a Senior Analytics Engineer and play a pivotal role in leveraging data to drive strategic decisions. You will collaborate with cross-functional teams to design and implement data solutions that enhance our analytics capabilities. If you are passionate about data engineering and possess a strong analytical mindset, this is the perfect opportunity for you.

At Intercom, we are revolutionizing customer service through innovative AI solutions, dedicated to enhancing customer experiences for businesses worldwide.Our flagship AI agent, Fin, is the most sophisticated customer service AI available, enabling businesses to provide seamless, round-the-clock support. When paired with our Helpdesk, it becomes part of the comprehensive Intercom Customer Service Suite, tailored to manage complex queries requiring human intervention.Since our inception in 2011, we have gained the trust of nearly 30,000 businesses globally, setting a new benchmark in customer service. Our core values drive us to push boundaries, innovate rapidly, and deliver outstanding value consistently.What Awaits You?Join our AI Group at Intercom, where you will play a pivotal role in shaping new machine learning features, conducting algorithm research, and swiftly launching prototypes for our clients.Our product-driven team of over 50 ML scientists, engineers, designers, and researchers collaborates across various departments, ensuring we push to production rapidly, often launching beta versions within weeks of successful testing.We are committed to continuous improvement through experimentation and analyzing the performance of our AI features. Utilizing both frequentist and Bayesian methods, we create insightful dashboards and delve into complex user interactions to enhance user success. Navigating the stochastic nature of AI products poses challenges that we rigorously tackle.We are on the lookout for a passionate Analytics Engineer to join our AI Group and contribute to our mission.

About MoneyboxMoneybox is an award-winning financial app designed to help you transform your financial journey. We seamlessly integrate saving, investing, home-buying, and retirement planning into one user-friendly platform, empowering you to achieve your financial aspirations and build wealth, regardless of your starting point.Job OverviewJoin our Data and Insights team, where we cover a diverse range of functions including analytics engineering, reporting, insightful analysis, decision-making, data science, and machine learning. Our mission is to provide comprehensive understanding of customer behaviors, app interactions, product utilization, and priorities. This crucial role ensures that Moneybox is well-equipped to fulfill its vision of empowering customers in their financial journeys.

Join Monzo Bank as a Senior Analytics Engineering Manager, where you will lead a dynamic team of analytics professionals in transforming data into actionable insights. You will play a pivotal role in shaping our analytics strategy, driving innovation, and ensuring our data architecture meets the evolving needs of our organization. This is an exciting opportunity for an individual passionate about data and analytics leadership.

Role overview Arbor Education is looking for a Senior Analytics Engineer to strengthen data-driven decision-making throughout the company. This is a fully remote role for candidates based in the United Kingdom. What you will do Design, build, and maintain data models aligned with business objectives Create analytics solutions that turn complex data into clear, actionable insights Work closely with teams across Arbor Education to understand their needs and deliver useful data products Provide reliable data analysis to support strategic decisions

Join Synthesia, the premier AI video platform for enterprises, where over 90% of Fortune 100 companies leverage our innovative solutions. Founded in 2017 and headquartered in London, we have expanded our presence across Europe and the US, fostering a culture of creativity and collaboration.As AI revolutionizes the workplace, we are committed to developing cutting-edge products that elevate visual communication and enhance organizational skill development, empowering individuals to thrive in high-performing teams.After our successful Series E funding round, we proudly stand with a valuation of $4 billion, supported by over $530 million in funding from top-tier investors like Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, as well as the founders of Stripe, Datadog, Miro, and Webflow.About the RoleAs a Senior Analytics Engineer, you will play a vital role in shaping our data function from the ground up. Your expertise will drive the development and enhancement of analytics foundations that inform strategic product decisions across the organization. Collaborating closely with Product, Analytics, and Engineering teams, you will transform raw product data into reliable, well-defined datasets, metrics, and scalable data products.You will establish the principles for modeling data applicable to both self-serve and AI use cases, ensuring a careful equilibrium between speed, data quality, and long-term sustainability. Your responsibilities will include designing robust models and metric foundations that adapt to change, are easily understandable, and cater to both human and machine consumption.What You’ll Be DoingCollaborate with Product, Analytics, and Engineering teams to identify data needs and convert ambiguous inquiries into clear, scalable data models.Define, construct, and maintain core dbt models that convert raw product data into authoritative, well-documented datasets.Own metric definitions and transformation logic to guarantee consistency, accuracy, and trust across all reporting and analysis.Establish and uphold data quality standards, testing, and expectations regarding data freshness and reliability.Work in tandem with Product Analysts to facilitate quicker and higher-quality insights and decision-making processes.Support data accessibility in tools like Amplitude and Omni, ensuring data is user-friendly and easy to self-serve.Act as a subject-matter expert in analytics engineering, guiding best practices and assisting colleagues in solving data-related challenges.Contribute to the strategic evolution of our data stack as we scale and increase product complexity.

About Checkout.com Checkout.com is a global payment solutions provider, trusted by brands such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company streamlines online checkout, making transactions smooth for businesses around the world. With headquarters in London and 19 offices across six continents, Checkout.com supports billions of transactions each year. The team focuses on making digital payments reliable, helping businesses grow and keeping customers satisfied. Role Overview: Senior Analytics Engineer Based in London, the Senior Analytics Engineer will drive insights into product performance and create a single source of truth for key metrics. Working closely with product managers and data scientists, this role helps shape the direction of Checkout.com's products. The position involves designing and launching new data products, with responsibility for the full lifecycle, from initial concept to implementation and ongoing operations. What You'll Do Build high-performance, reusable, and scalable data models for the data warehouse using dbt and Snowflake. Design and develop Looker structures (explores, views, and more) to enable self-service analytics across the company. Work with data analysts and business teams to understand needs and deliver analysis-ready data. Continuously discover, transform, test, deploy, and document data sources and models. Support and help define data warehouse governance, focusing on data quality, testing, documentation, coding best practices, and peer reviews. Identify ways to improve and optimize analytics engineering workflows and platforms. Location This position is based in London. Learn more about Checkout.com at Checkout.com.

Join Deliveroo as a Senior Analytics Engineer and play a pivotal role in transforming data into actionable insights that enhance our services. You will collaborate with cross-functional teams to design and implement robust analytical solutions, driving strategic decisions that shape the future of food delivery.

Relay is revolutionizing the logistics landscape for the digital age. With a record-breaking $35M Series A funding, the largest in European logistics history, and support from innovative investors like Plural, Relay is outpacing 99.98% of its venture-backed peers. We are on a quest to build the most skilled team the logistics industry has ever seen.Our Mission is to eliminate friction in commerce. Currently, exorbitant delivery costs serve as a hidden barrier to online shopping, shaping what can be sold online and who can engage in it. We aspire to create a world where more goods can move freely among more people, enhancing the online shopping experience for all.THE TEAM• Comprising approximately 110 professionals, with over 50% in engineering, product, and data roles.• Home to 45+ advanced degrees in fields like computer science, mathematics, and operations research.• We analyze thousands of data points for every parcel we handle.• Our culture thrives on first-principles thinking, rapid feedback, and continuous experimentation.The OpportunityAt Relay, our operations are driven by data that informs the journey of every parcel, from entry into our system to delivery at the customer's door. Our data infrastructure supports real-time operational decisions, strategic insights, and networks of autonomous AI systems.We are seeking a Senior Analytics Engineer to join our Last Mile squad, which is our largest and data-richest team. Your contributions will be vital to enhancing key workflows that drive our Last Mile marketplace.This is an exciting time to join as we rapidly expand our network across the UK.Who Will Succeed in This Role?Design and Develop Core Data Models - Collaborate with engineers and business leaders within the Last Mile squad to create and implement foundational data models that support analytics, data science, and AI workflows.Establish Foundations for Key AI Systems - As our Last Mile marketplace grows increasingly intelligent, you will play a crucial role in managing the inputs that drive these systems.Ensure Data Quality - Implement robust testing, monitoring, and alerting mechanisms to maintain high data integrity across our systems.

Recursion Pharmaceuticals combines artificial intelligence, automation, and scientific expertise to rethink drug discovery. The Senior Analytics Engineer in London connects complex chemical data with the systems that drive discovery, shaping tools and infrastructure for computational designers and medicinal chemists. This work supports informed, data-driven decisions throughout discovery programs. This position advances analytics and automates the platform, helping to close the Design-Make-Test-Learn (DMTL) loop and speed up design cycles. The role carries responsibility for the analytical ecosystem, including the Spotfire library, data schemas, and automation services. The main goal is to turn complex data into actionable insights to improve the platform and accelerate Recursion’s mission to decode biology and improve lives. What you will do Develop and maintain integrated project dashboards that align assay results with portfolio data for design teams. Code and manage repositories for Spotfire automation and BigQuery integration to streamline data flow across the discovery lifecycle. Design and refine metrics and predictive modeling workflows to guide next-best design choices and track project progress. Create automated reporting pipelines that surface critical signals, enabling teams to respond quickly to new scientific findings. Collaborate across functions to turn strategy into scalable analytical tools, using adoption metrics to prioritize impactful features. Define and evaluate metrics for product success, tool adoption, and scientific impact, helping teams focus on priorities that accelerate drug discovery. Identify opportunities for innovation in analytics maturity and implement solutions that modernize data interactions for scientists. Contribute to the development of advanced analytical methods and tools to strengthen overall analytical capabilities.

ClearScore Technology Limited is hiring a Senior Analytics Engineer in London. This position centers on developing and refining data products that influence company decisions and enhance the experience for users. Key responsibilities Design and build analytical models and reporting tools in partnership with engineering and other teams. Translate business requirements into effective data solutions that align with company objectives. Apply analytics to deliver insights that inform product and business strategies. Recommend improvements to user experience based on data-driven analysis. Collaboration and impact This role works closely with cross-functional teams throughout ClearScore. The work done here directly shapes company direction and the way users are served.

About SwapAt Swap, we are revolutionizing the world of agentic commerce through our innovative AI-native platform, which seamlessly integrates backend operations with a cutting-edge storefront experience. Designed for brands eager to sell anything, anywhere, Swap centralizes global operations, enhances intelligent workflows, and enables strategic decision-making with real-time data insights. Our diverse product offerings include solutions for cross-border transactions, tax compliance, returns management, demand planning, and our next-generation storefront, empowering merchants with transparency and confidence in their operations.We are committed to fostering a workplace culture that prioritizes clarity, creativity, and shared ownership as we transform global commerce.About the RoleWe are seeking a dedicated and pragmatic Lead Analytics Engineer to join our Analytics Engineering team, playing a pivotal role in scaling our data infrastructure for a new era at Swap. This leadership position offers significant ownership and the opportunity to directly influence the development and implementation of a modern, scalable data architecture. You will be responsible for leading the creation and upkeep of the data models that drive our business operations, from delivering internal insights for Sales and Finance to providing reliable data sets for our customer-facing systems.We are looking for a hands-on leader who is enthusiastic about steering our high-quality dbt project, defining our analytics vision, and mentoring the team as we expand our data models and capabilities. If you excel in a dynamic, collaborative environment and are eager to make a substantial impact, we would be thrilled to hear from you!Key Responsibilitiesdbt Project Leadership: Spearhead the technical vision, architecture, and expansion of our dbt project, establishing development best practices, CI/CD standards, and ensuring high code quality across the team.Strategic Data Modeling & Architecture: Lead the strategic design and maintenance of a robust, scalable, high-performance core data warehouse (fact and dimension models) that serves as the authoritative source for all critical business functions and data products.Data Governance & Quality: Implement and uphold advanced data quality frameworks, comprehensive testing, PII governance protocols, and documentation standards to ensure data integrity and reliability at scale.Cross-Functional Data Strategy: Act as a vital strategic partner to commercial (Sales, Finance) and product leadership, proactively identifying data opportunities, translating complex business objectives into actionable engineering requirements, and managing the delivery roadmap.

About UsNALA is revolutionizing global payments for the next billion people, providing faster, smarter, and fairer transfer solutions for everyone. Since our inception in 2022, we have experienced an extraordinary growth of 120x, expanded our team from 9 to over 150 professionals, secured $50M+ in funding from leading investors, and earned a spot in the prestigious Forbes Fintech 50 in 2025.We deliver two key products:NALA, our consumer app, enables affordable, quick, and reliable cross-border payments for the global diaspora, facilitating money transfers from the UK, US, and EU to Africa and Asia.Rafiki, our B2B payments infrastructure, powers seamless global transactions.Our dynamic team comprises alumni from renowned companies like Wise, Stripe, Monzo, Revolut, and CashApp—experts who have successfully scaled world-class products. We embody a culture of urgency, deep thinking, and unwavering customer focus.At NALA, this is more than just a job; it’s about taking ownership, making an impact, and redefining global payments for the better.Join us in our mission to create Payments for the Next Billion. Your MissionAs a Senior Analytics Engineer, you will take charge of enhancing and maintaining NALA's data transformation layer—the backbone for all reporting, governed metrics, self-service analytics, and AI-driven functionalities. Your contributions will enrich the semantic context, structure, and governance of our data, ensuring that every model is comprehensively documented, tested, and interpretable by both humans and AI systems. With the rise of agentic analytics, your role is crucial in ensuring that NALA's data infrastructure is adequately prepared. Your Responsibilities in this RoleOversee the transformation layer (dbt + Snowflake), implementing best practices and advancing our data stack to achieve excellence.Manage streaming data pipelines alongside batch transformations, guaranteeing reliable and cost-effective real-time data flows integrated into the overall data architecture.Establish and uphold coding and agentic coding standards, ensuring systematic testing and documentation are default practices across all data models.Optimize warehouse performance and cost efficiency by identifying and rectifying query patterns and materialization decisions leading to unnecessary expenditures.Lay the groundwork for AI-enhanced self-service capabilities by developing robust data models and interfaces.

Join Aircall, a leading unicorn in the realm of AI-powered customer communications, where over 22,000 businesses globally harness our platform to enhance revenue, expedite issue resolution, and scale their customer-facing teams. We are transforming the communication landscape by integrating voice, SMS, WhatsApp, and AI into a cohesive workspace.Our growth is driven by a core philosophy: enable teams to work smarter, not harder. With our AI Voice Agent automating routine calls, AI Assist optimizing post-call tasks, and AI Assist Pro providing real-time insights, our solutions empower teams to achieve higher revenue and faster resolutions.Headquartered in Paris, with a robust presence in North America through our Seattle office, and teams across cities like Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City, Aircall has created a product that delights customers and a business model that scales rapidly, fueled by our commitment to innovation in AI across various product lines.At Aircall, you will be part of an ambitious, product-focused, and execution-driven team. We value visible impact, swift decision-making, and genuine growth.Our Work Culture: We are dedicated to understanding our customers, leveraging data meticulously, and striving for substantial outcomes. We champion ownership, continuous learning, and thoughtful execution. If you excel in a collaborative and dynamic environment where trust and impact are paramount, you will thrive here.We seek a passionate and dedicated Senior Data Engineer to become an integral part of our expanding Engineering Team. In this pivotal role, you will oversee our analytics and event platform stack.As a vital member of the Analytics & Data Platform team, your contributions will serve over 22,000 customers worldwide. Your efforts will unlock valuable data insights, enabling our clients to make informed decisions through real-time analytics, monitoring, and detailed reports.

Join Our Team as an Analytics Engineer at UpsunAt Upsun, we are redefining cloud application platforms for individuals and teams alike. Our innovative solutions empower hybrid teams—where AI and humans collaborate effectively. As an Analytics Engineer, you will play a pivotal role in enhancing our data analytics and driving insights that matter.What sets Upsun apart?Consistent performance even under heavy load.Inherently secure and compliant environments.Integrated real-time observability and profiling tools.Rapid cloning, configuration, and provisioning.Features designed to seamlessly integrate with your AI stack.Our philosophy centers on uptime, reliability, and a commitment to innovation. We believe that software should catalyze brighter solutions and foster creativity.At Upsun, we celebrate a diverse and inclusive remote workforce. Our multicultural team is united by curiosity, a desire for knowledge, and a passion for innovation. Together, we create an environment that empowers everyone to excel.Our core values include: Making a positive impact. Aspiring for greatness. Caring for our colleagues.

Role Overview Future plc, a leader in digital media, relies on data to shape the experiences delivered by brands such as Tom's Guide, Marie Claire, PC Gamer, and CinemaBlend. The Senior Analytics Engineer will play a central role in moving from raw data systems to organized Data Products that become the trusted source for insights across the company. This position focuses on building and documenting Data Products that support Looker dashboards, machine learning models in Vertex AI, and conversational analytics tools. The goal: make data accessible, reliable, and actionable for teams across Future plc. What You Will Do Data Modeling and Transformation: Lead the design and rollout of advanced data transformation pipelines using Dataform, turning raw data into scalable, production-ready Data Products. SQL Architecture: Rework existing business logic into modular, scalable SQL code that captures institutional knowledge and supports company growth. Cross-Functional Collaboration: Partner with BI, Data Engineering, and Data Science teams to translate business needs into structured data schemas and maintain alignment. Engineering Best Practices: Promote strong software engineering practices within analytics, including version control with GitLab, code reviews, and improvements to CI/CD processes. Project Leadership: Manage the full data product lifecycle with tools like Jira, ensuring transparency and impact from project start to production. Data Quality and Reliability: Set and uphold standards for data quality by implementing automated testing frameworks and observability systems. Data Lineage and Documentation: Create and maintain thorough documentation of data sources and transformations, enabling technical teams to work confidently with data assets.

Are you ready to transform intricate data sets into reliable insights that enhance essential national infrastructure? Do you aspire to be at the cutting edge of analytics within a highly regulated and impactful framework while contributing to Britain's net zero objectives? At EDF, Success is Personal – your professional path is yours to mold.As an Analytics & Data Engineer, you will be integral in converting complex data into valuable, actionable insights that bolster safe and efficient nuclear operations. Collaborating within Nuclear Operations and IT Services, you will play a crucial role in EDF's mission towards An Electric Britain by creating scalable, user-centric data platforms that improve operational performance, predictive capability, and long-term sustainability.You'll engage with stakeholders across engineering, operations, maintenance, and compliance, facilitating intelligent, data-driven decision-making in a vital national context.This role primarily allows for remote work, with the option to connect and collaborate in person at our Gloucester Business Park office once or twice a month. These in-person sessions foster planning, innovation, and team bonding, enabling you to work flexibly from home while maintaining close connections with colleagues and stakeholders.