Data Analytics Engineer

About Checkout.com Checkout.com powers online payments for major brands including eBay, ASOS, Klarna, Uber Eats, and Sony. The company processes billions of transactions each year through its global network, supporting businesses with reliable, seamless payment solutions. Headquartered in London, Checkout.com operates from 19 offices across six continents and brings together a diverse team focused on innovation and continuous growth. Role Overview: Data Analytics Engineer The Data Analytics Engineer will drive insight into product performance and help establish a single source of truth for key business metrics. This role works closely with product managers and data scientists, shaping the product roadmap and supporting enhancements through data. The position covers the full data product lifecycle, from initial concept to implementation and ongoing operations, with a focus on building new analytics capabilities. What You Will Do Design and deploy high-performance, reusable data models for the data warehouse using dbt and Snowflake. Build and maintain Looker structures (such as explores and views) to support self-service analytics across the organization. Work with data analysts and business teams to collect requirements and deliver data optimized for analysis and reporting. Identify, transform, test, deploy, and document data sources and models on a regular basis. Promote strong data governance, including data quality, thorough documentation, coding standards, and peer reviews. Continuously improve analytics engineering workflows and platforms for greater efficiency and effectiveness. Location This position is based in London.

Job Title: Engineering Manager - Data Platform & Analytics Engineering Location: London, Bristol or Edinburgh (Hybrid options available) Salary: £92,800 - £115,000 Reporting to: Head of Data Science & Products Eligibility: Must have the right to work in the UK; visa sponsorship is currently not available. Kaluza is at the forefront of reshaping the energy landscape through our Energy Intelligence Platform. We empower energy companies to navigate the complexities of modern energy demands while driving the transition to a sustainable, electrified future. Utilizing cutting-edge Data, AI technologies, and real-time decision-making, we convert energy challenges into growth opportunities for our partners. Our innovative approach combines predictive algorithms with user-centric design, ensuring that clean energy remains reliable and affordable. With a diverse team spanning Europe, North America, Asia, and Australia, and a strategic partnership with Mitsubishi Corporation in Japan, we are proud to support industry leaders such as OVO, AGL, and ENGIE, along with pioneering companies like Volvo and Volkswagen. Join the Kaluza Data Community: Data is pivotal to our mission, and we seek curious minds who can transform data into actionable insights and strategies. You will be instrumental in enhancing the Kaluza platform, a pioneering technology designed to revolutionize energy retail operations globally, with a focus on regional adaptability and decarbonization efforts.

About UsPerk, previously known as TravelPerk, stands as a pioneering platform for travel and expense management. Our innovative solutions are designed to eliminate the tedious, manual tasks that hinder productivity. We automate everything from travel arrangements to expense management and invoice processing, helping businesses reclaim valuable time and foster a more engaged workforce.With over 10,000 global clients, including industry leaders like Wise, On Running, and Breitling, we are committed to addressing the 7 hours of lost productivity per employee each week, a staggering $1.7 trillion issue.Founded in 2015, Perk has expanded to a diverse team of more than 1,800 employees across 12 offices worldwide, with our headquarters situated in London and Boston. Our mission is to innovate and simplify the workplace, enhancing the way businesses operate and how employees feel about their work.At Perk, our values drive us—ownership, delivering a 7-star experience, and collaboration are at our core. We champion curiosity and purpose, believing in the potential of every team member. Our talent acquisition team consists of top professionals from the travel and SaaS sectors, representing over 70 countries. If you are eager to make a significant impact and redefine the work experience for millions, we invite you to join us.Learn more about us at www.perk.com.

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.

Role Overview Mediabrands is hiring a Data and Analytics Manager in London. This role leads analytics projects that help teams across the company make informed decisions. The manager oversees how data is collected, analyzed, and reported, ensuring that insights reach the right people. What You Will Do Lead analytics efforts for the organization Oversee data collection and analysis processes Develop reports that deliver actionable insights to multiple teams Shape and refine the company’s data strategy Use analytics to improve marketing effectiveness Location Based in London, England, United Kingdom.

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 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 Capco as a Data Analytics Consultant and be at the forefront of transforming data into actionable insights. In this role, you will collaborate with clients across various industries, leveraging advanced analytical techniques to drive business decisions and strategies. Your expertise will help organizations harness the power of data, ensuring they remain competitive in a rapidly evolving market.

Join Our Journey at Zopa Hello, we are Zopa! Since our inception in 2005 as the pioneering peer-to-peer lending platform, we have rapidly evolved. In 2020, we took a significant step by launching Zopa Bank, a financial institution dedicated to addressing customer concerns in finance by doing things differently. Our mission is to revolutionize the banking experience, putting our customers at the forefront and empowering them to reach their financial aspirations. Discover more about our innovative services at Zopa.com. We take pride in our accomplishments, thanks to our talented team. We’ve not only garnered industry accolades but have also been recognized as one of the top three Most Loved Workplaces in the UK. If you are someone who thrives on unconventional challenges, enjoys thinking outside the box, and is eager to make a significant impact, Zopa is the right place for you. Want to see us in action? Follow us on Instagram @zopalife! The Analytics Engineering TeamThe Analytics Engineering team is a vital component of our broader Data Team within the Technology division. We are excited to expand our team and welcome a new Analytics Engineer! Our primary goal is to convert data into actionable insights that empower our analytics, product, finance, and risk teams. At Zopa, we are dedicated to using data to enhance decision-making for our customers. As an Analytics Engineer, you will immerse yourself in your domain, develop a thorough understanding of the data, and create high-quality data products that are well-structured, reliable, and incorporate robust controls and quality checks with our chosen tools. In line with our commitment to autonomy and empowerment, you will take charge of the daily operations of our data marts. This includes troubleshooting issues, escalating concerns as needed, and ensuring smooth functionality. In addition to your technical duties, you will collaborate closely with stakeholders to share your expertise and insights. You will also contribute to the team by conducting code reviews and validating data, ensuring we uphold the highest standards. This role offers a dynamic environment where you can make a tangible impact while fostering a culture of excellence and collaboration.

Shawbrook Bank is seeking a dynamic and innovative Head of Analytics Engineering to lead our analytics team in London. This pivotal role involves managing data analytics processes, optimizing data systems, and driving strategic insights to enhance our business performance. As a key player in our Data Platform department, you will work closely with various stakeholders to translate business needs into analytical solutions. This position is perfect for a data enthusiast eager to make a significant impact in a growing organization.

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.

Job Title: Lead Analytics EngineerLocation: London / Bristol / EdinburghSalary: £80,000 to £95,000Team: DataThis position is available in London, Bristol, or Edinburgh, and candidates must have the right to work in the UK. Unfortunately, we are not currently providing visa sponsorship for this role.Kaluza is at the forefront of the Energy Intelligence Platform, transforming energy complexity into seamless coordination. We assist energy companies in navigating today's challenges while pushing towards a clean, electrified future.Our platform facilitates millions of real-time decisions across homes, devices, markets, and grids. By merging predictive algorithms with a human-centered design approach, Kaluza ensures that clean energy is dependable, affordable, and integrated into daily life.With teams located across Europe, North America, Asia, and Australia, alongside a joint venture with Mitsubishi Corporation in Japan, we empower leading companies including OVO, AGL, and ENGIE, in addition to innovators like Volvo and Volkswagen.What Will You Be Doing?As the Lead Analytics Engineer, you will establish the gold standard for data practices at Kaluza. You will architect scalable and reliable data solutions founded on modern best practices, driving the strategy for our data models while bridging high-level business objectives with technical realities.Your responsibilities will include defining and enforcing engineering best practices (CI/CD, modularity) across the data organization, developing sophisticated modeling solutions for complex scenarios, and researching and implementing modern data stack tools. You will own the long-term vision for data modeling, design and implement data governance frameworks, and act as the lead responder for GDPR-related incidents. Collaborating cross-functionally, you will partner with Product to shape the Analytics Engineering Roadmap, translating complex business needs into technical requirements, and promoting a data-driven culture throughout Kaluza.

Join Valtech: Pioneers of Experience InnovationAt Valtech, we pride ourselves on being at the forefront of experience innovation, collaborating with some of the world’s most recognized brands. Our team enjoys a culture driven by values, robust growth opportunities, and the chance to shape the future of digital experiences. Here, your contributions will not only foster your professional growth but also make a meaningful impact across various industries.The OpportunityAs a Lead Digital Analytics Engineer specializing in Adobe Analytics, you will be immersed in a dynamic environment that emphasizes continuous learning and innovation. Your role will involve pioneering cutting-edge digital solutions, challenging conventional methodologies, and crafting the next generation of customer experiences.

Job DescriptionJoin Abtrace, a pioneering venture-backed company dedicated to enhancing primary care through innovative software solutions. Our cutting-edge product identifies critical health signals, ensuring timely interventions across over 500 practices and supporting 6 million patients. We harness advanced analytics, user-friendly data visualizations, and robust data pipelines to empower healthcare professionals and transform the future of healthcare.Role OverviewWe are in search of a versatile Analytics Engineer who can seamlessly integrate business intelligence, data analysis, and data engineering. In this role, you will develop dynamic dashboards, analyze intricate healthcare datasets, and construct scalable data models utilizing Power BI, SQL, and contemporary data tools, thereby driving informed decision-making throughout the organization.Key ResponsibilitiesDevelop and maintain Power BI dashboards, reports, and interactive visualizations to facilitate business decision-making.Design and implement efficient data models to support robust reporting and analytics while ensuring high data quality and integrity.Collaborate with stakeholders to gather requirements, define metrics, and convert business needs into technical solutions.Work closely with cross-functional teams (product, operations, clinical) to ensure data solutions align with business objectives and healthcare regulations.Monitor data quality and governance to maintain compliance with healthcare data security and privacy standards.Identify opportunities for process improvements to enhance data accessibility, performance, and reliability.

Join Capco as a Lead Data Analytics Consultant and play a pivotal role in advancing our UK Data Practice. You will spearhead intricate data and analytics projects within the financial services sector, while mentoring emerging talent and driving innovation across cutting-edge technologies such as Cloud, AI, and Machine Learning.

Tiger Analytics is a premier analytics consulting firm, renowned for our expertise in transforming data into actionable insights for Fortune 100 companies. Our team excels in Data Science, Machine Learning, and AI, delivering significant business value. Recognized by leading market research firms such as Forrester and Gartner, we are headquartered in Silicon Valley, with a global delivery center in Chennai, India.If you have a passion for tackling complex business challenges through data-driven solutions, we want to connect with you. The designation and compensation will reflect your experience and expertise.As a Business Consultant, you will collaborate closely with key client stakeholders to identify business challenges, outline analysis requirements, and determine solution specifications. Your role will be pivotal in ensuring business value and effectively communicating results.

About Octopus ElectroverseAt Octopus Electroverse, we are revolutionizing electric vehicle ownership by creating an innovative and user-friendly virtual charging platform designed for the future.In just four years, we have rapidly ascended to become one of the foremost players in the eMobility sector worldwide, boasting over 1 million connected electric vehicle chargers and a diverse customer ecosystem that includes web, iOS, Android, CarPlay, Android Auto, and various Automotive OS platforms.This is only the beginning; we're on an exciting journey of international expansion, collaborating with numerous automotive and tech partners, developing cutting-edge features at scale, and crafting seamless charging experiences aimed at simplifying public EV charging for our users.The Electroverse team is a dynamic collective encompassing product, development, commercial, operations, marketing, partnerships, and more, all committed to solidifying Octopus as the leading name in EV charging.

Job Title: Future Interest: Analytics Engineer Location: London, Bristol, or Edinburgh (Hybrid working model) Salary: £46,400 - £63,800 Team: Analytics Engineering team Reporting To: Analytics Engineering Manager Note on this Role: Currently, we do not have a specific opening for this position, but due to our rapid growth, we frequently hire for this skill set! By applying here, you will be added to our Priority Talent Pool. When a headcount is approved, our recruiters will review this pool prior to posting the job publicly. Work Authorization: This position requires existing right to work in the UK. Please note, we are unable to offer visa sponsorship for this role at this time. We are dedicated to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. Keep an eye on our careers site for future opportunities that may include visa sponsorship. Kaluza is transforming the energy landscape as the leading Energy Intelligence Platform. Our mission is to simplify energy complexities while facilitating the transition to a clean, electrified future. Our platform coordinates millions of real-time decisions across homes, devices, markets, and grids. By integrating predictive algorithms with user-centric design, Kaluza makes clean energy reliable, affordable, and adaptable to everyday life. With teams spanning Europe, North America, Asia, and Australia, and a joint venture with Mitsubishi Corporation in Japan, we empower top companies like OVO, AGL, and ENGIE, along with innovators such as Volvo and Volkswagen. Key Responsibilities: In the role of Analytics Engineer, you will be crucial in building the foundation for our global reporting capabilities. Your primary focus will be on designing and implementing a high-performance, scalable dimensional model tailored to serve multiple global clients. This position is not just about data migration; it's about expertly translating complex schema designs into production-ready SQL. You will act as a bridge between abstract data architecture and operations, ensuring the integrity and efficiency of our analytics systems.

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 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.