GCP Architect

Valtech partners with well-known brands to design and deliver customer experiences. The company emphasizes growth, international opportunities, and a culture shaped by clear values. The role The Conversational Analytics Engineer position centers on developing digital solutions that improve how customers interact with businesses. This role involves exploring new approaches, questioning established methods, and helping to create customer experiences that can influence entire industries. What to expect Work on projects that focus on conversational analytics and digital innovation Contribute to solutions that aim to improve customer engagement Participate in a team culture that values learning and professional growth Location This position is based in London.

Who are we? At Ki Insurance, we’re making headlines by insuring everything from space shuttles to world tours, wind farms, and even footballers' legs.Our mission is clear: to digitally transform and revolutionize a 335-year-old insurance market. Collaborating with Google and UCL, we’ve developed a platform that harnesses algorithms, machine learning, and large language models to provide insurance brokers with quotes in seconds instead of days.As the largest global algorithmic insurance carrier, Ki is the fastest growing syndicate in the Lloyd's of London market, achieving an unprecedented $100 million in profit within just three years.Our diverse teams work collaboratively in an agile, cross-functional environment to create the best possible experience for our customers. With ambitious goals ahead, we’re seeking brilliant minds to challenge the status quo and help us reach new heights.What will you do? Collaborate with business teams, data scientists, and engineers to design, build, optimize, and maintain production-grade data pipelines and reporting solutions using GCP and BigQuery.Engage with finance, actuaries, and data experts to maximize the potential of new internal and external data sources.Partner with our delivery teams at EY/IBM to ensure the robustness of data model design and engineering that supports our growth ambitions.Take ownership of data models, reporting, and integrations/pipelines as part of our Business As Usual (BAU) operations.Develop frameworks, infrastructure, and systems to manage and govern Ki’s data assets.Create comprehensive documentation to facilitate ongoing support and maintenance of data structures, schemas, and reporting.Collaborate with the broader engineering community to enhance our data and MLOps capabilities.Ensure data quality, governance, and compliance with both internal and external standards.Monitor and troubleshoot data pipeline issues to guarantee reliability and accuracy.

THE BASICSThis position offers a competitive salary of up to £170,000 per year, depending on experience, along with equity opportunities.Reporting to: Head of Growth Engineering.Location: Chancery Lane, London — In-office Monday to Thursday, Work from Home on Fridays.WHAT ARE WE BUILDING?At Fyxer, we are revolutionizing client communication with our AI Email & Meeting Assistant. Our innovative tool alleviates the administrative load for professionals in client-centric roles such as sales, consulting, and recruiting. By understanding your inbox, drafting replies in your unique voice, and capturing concise meeting notes, we streamline your workflow.As a dedicated applied AI company, we leverage fine-tuned open-source models, retrieval-augmented generation, and tool utilization. Impressively, users send 53% of the email drafts we generate.Since our launch in March 2024, we have rapidly scaled from $0 to over $30 million in Annual Recurring Revenue (ARR). In less than 18 months, we secured a $10 million Series A and a $30 million Series B funding round, with notable investors including Marc Benioff (Salesforce), Harry Stebbings (20VC), David Singleton (ex-CTO of Stripe), and Madrona (the first investors in Amazon and Snowflake).THE ROLEWe are seeking a Lead CRO Engineer to join our Growth Engineering team — a compact but dynamic group entrusted with the product-led growth strategies that propel Fyxer’s remarkable revenue growth.This role goes beyond mere UI refinement. You will be responsible for the infrastructure and strategies that convert user sessions into tangible growth. This entails designing and conducting A/B tests, analyzing user behavior metrics, and optimizing the entire acquisition journey across our paid landing pages, programmatic SEO, and lead magnet micro-apps. You will operate at the nexus of data, marketing, product, and engineering, utilizing rigorous A/B testing, behavioral analytics, and a profound knowledge of B2B SaaS growth mechanics to drive key performance indicators.Each Growth Engineer possesses full ownership of their designated area within the product lifecycle, from strategy formulation to execution, without the intermediary of project managers.WHAT YOU’LL OWNLead the conversion rate optimization initiatives across the entire user journey, from landing pages to paid activations and seat expansions.Develop, implement, and manage multivariate testing protocols to systematically enhance conversion rates and identify data-driven improvements for long-term user retention.Oversee the experimentation infrastructure, ensuring adherence to best practices and continuous improvement in testing methodologies.

About UsAt Ki Insurance, we are at the forefront of innovation in the insurance industry. With a diverse range of clients from space shuttles to world tours, we ensure coverage for extraordinary ventures. Our mission is to digitally disrupt a 335-year-old market by leveraging advanced technologies.Partnering with Google and UCL, we have developed a cutting-edge platform that utilizes algorithms, machine learning, and large language models to provide insurance brokers with quotes in a matter of seconds, rather than days.As the largest global algorithmic insurance carrier and the fastest-growing syndicate in the Lloyd's of London market, Ki has made history by achieving $100 million in profit within just three years. Our teams, comprised of individuals from various backgrounds, collaborate in an agile and cross-functional environment to enhance customer experience and challenge the status quo.Your RoleIn this pivotal role, you will support our middle and back-office operations, crucial for our continued success. As part of a multi-disciplinary team, you will collaborate with software and data engineers, full-stack developers, platform operations experts, algorithm researchers, and data scientists to deliver impactful solutions. Your primary focus will be on designing and developing sophisticated data processing modules and reporting using BigQuery and Tableau.Key Responsibilities: Collaborate with business teams in finance and actuarial science, along with data scientists and engineers, to design, build, optimize, and maintain production-grade data pipelines and reporting from our internal Data Warehouse solution based on GCP/BigQuery.Engage with various stakeholders to identify opportunities for leveraging new internal and external data sources.Partner with EY and IBM to ensure the robustness of data model design and engineering, supporting our ambitious growth and scalability plans.Oversee business-as-usual (BAU) management of data models, reporting, and integration pipelines.Establish frameworks, infrastructure, and systems for effective management and governance of Ki’s data assets.Create detailed documentation to facilitate ongoing BAU support and maintenance of data structures, schemas, and reporting.Collaborate with the broader engineering community to enhance our data and MLOps capabilities.Ensure compliance with internal and external data quality and governance standards.Monitor and resolve data pipeline issues to maintain reliability and accuracy.

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.

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.

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.

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 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.

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: 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.

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.

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.

WHO ARE WECognism is the premier provider of B2B data and sales intelligence across Europe. Our innovative platform helps ambitious companies of all sizes to efficiently discover, connect, and engage with qualified decision-makers, ultimately accelerating their sales processes and closing more deals. Headquartered in London, with a global presence, Cognism's trusted contact data and contextual signals empower thousands of revenue teams to eliminate the guesswork from their prospecting efforts.OUR WORK MODEL:Hybrid: This position requires working from our London office three days a week, with the flexibility to work remotely on other days.THE ROLE:We are seeking a Website & Conversion Optimization Manager to take ownership of enhancing Cognism's website performance as a key driver of pipeline and revenue. The website serves as a vital touchpoint for buyers to discover Cognism, understand our offerings, and convert into opportunities. In this role, you will concentrate on optimizing the site’s effectiveness through improvements in user experience, landing page optimization, and continuous experimentation.You will collaborate closely with the Demand Generation, Product Marketing, Paid Media, and Content teams to ensure that the website aligns with ongoing campaigns, clearly conveys our value proposition, and facilitates a seamless user journey from the first visit to conversion.We are looking for an individual who is naturally curious and highly customer-focused, with a passion for analyzing user behavior and driving impactful changes.