Senior Data Engineer - Real-Time Analytics

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.

KDB+ Specialist – Real-Time Data & Analytics Platforms (Development / Support / Business Analysis)Join MARGO in the UK (London) – Permanent & Contract OpportunitiesMARGO is a technology-driven consultancy that provides premium IT expertise to the financial services sector.We focus on data-intensive trading and risk management environments where real-time analytics, substantial data volumes, and high performance are paramount. Our consultants engage with platforms designed to capture, process, and analyze high-frequency and intraday data utilized by Front Office, Risk, and Surveillance teams.By joining MARGO, you will work on specialized data platforms within a supportive structure that offers personalized career development and close mentorship.Business ContextYour role will be within trading, risk, or data technology environments centered around kdb+ platforms.These platforms generally support:· Real-time and intraday market data· Profit and Loss (P&L) and risk analytics· Monitoring and surveillance· Reporting and analytical workflowsYour role will closely interact with business users, necessitating strong accountability for data quality, performance, and platform functionality.Role OverviewWe are seeking KDB+ Specialists to contribute to real-time data and analytics platforms.This position is versatile and can accommodate candidates with backgrounds in:· KDB+ / Q development· Business analysis· Technical support

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.

The Senior Manager, Data Analytics at Checkout.com leads a team focused on supporting data-driven decisions throughout the company. Based in London, this role manages the creation and delivery of business intelligence solutions, using analytics to surface trends and opportunities that shape business direction. Role overview This position combines strategic thinking with practical leadership. The Senior Manager guides complex data projects from planning to execution, ensuring results align with organizational goals. Collaboration with teams across functions is a key part of daily work. What you will do Direct and mentor a team of data analytics professionals Oversee the development of business intelligence tools and solutions Apply advanced analytics to identify insights that support business growth Work closely with other departments to align analytics initiatives with company needs Requirements Strong experience leading analytics teams and projects Ability to manage complex data initiatives from start to finish Skilled at collaborating with cross-functional groups Strategic mindset with a hands-on approach to problem-solving

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 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.

Join Zeta Global as a Senior Software Engineer specializing in Real-Time Ad Serving. In this role, you will leverage your expertise to develop and optimize our advertising technologies, ensuring the delivery of high-performance solutions that meet our clients' needs. You will collaborate with cross-functional teams to architect and implement scalable systems that drive business growth.

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.

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.

Join Zeta Global as a Senior Software Engineer in our Real-Time Ad Serving team. You'll be working on innovative technologies that drive ad serving efficiency and effectiveness in real-time. We are looking for a highly skilled engineer who is passionate about building scalable software solutions and enjoys working in a collaborative environment.

Role Overview Turner Townsend is hiring a Real Estate and Workplace Data Analyst based in London. This full-time role focuses on turning data into clear insights that support strategic decisions in real estate and workplace management. What You Will Do Work with teams across the business to analyze workplace and real estate trends Use data to identify opportunities for improved performance and efficiency Support efforts to optimize workplace environments through evidence-based recommendations

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.

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.

Join our dynamic team as a Senior Data Analytics Manager, Applied Marketing Measurements to spearhead the analytics function that drives measurement, experimentation, and targeting across Bolt Marketing. This includes Performance, Brand, and Lifecycle CRM. This is your chance to influence how we achieve measurable impact across over 300 markets and 100 million users.At Bolt, we are committed to building an inclusive workplace where everyone feels welcome, regardless of race, color, religion, gender identity, sexual orientation, age, or disability. Our mission is to transform cities for the people, not cars, and we invite you to help us realize this vision!

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.

Join our dynamic team at Intercom as a Senior Data Scientist specializing in Product Analytics. In this role, you will leverage data to drive meaningful insights that enhance user experience and product development. You will work closely with cross-functional teams to analyze trends, build predictive models, and develop metrics that inform strategic decisions.

Join Zeta Global as a Senior Software Engineer specializing in Real-Time Ad Serving. In this critical role, you will be responsible for developing and optimizing our cutting-edge ad serving technologies to enhance user experience and drive engagement. Collaborate with cross-functional teams to design scalable solutions and troubleshoot complex issues in a dynamic environment.

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.