Engineering Lead - Analytics Platform

Join our dynamic team at Octopus Energy as an Engineering Lead for our Analytics Platform. In this pivotal role, you will spearhead innovative engineering projects, guiding a talented team to enhance our analytics capabilities. Your expertise will drive the development of cutting-edge solutions that empower our data-driven decision-making processes.We are looking for a passionate leader who can inspire and mentor team members, ensuring the successful execution of engineering initiatives. You will collaborate closely with cross-functional teams to deliver robust and scalable analytics platforms that meet our business objectives.

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 FreshaFresha stands as the premier marketplace platform for beauty and wellness, trusted by millions of consumers and businesses globally. Currently, over 130,000 businesses and more than 450,000 stylists and professionals leverage Fresha, having processed over 1 billion appointments to date.Headquartered in London, United Kingdom, Fresha operates 15 global offices throughout North America, EMEA, and APAC.Our platform empowers consumers to discover, book, and pay for beauty and wellness appointments with local businesses. At the same time, beauty and wellness professionals utilize our all-in-one platform to streamline their operations through intuitive business software and innovative financial technology solutions.Fresha’s ecosystem equips merchants with everything necessary to operate their business smoothly, including appointment bookings, point-of-sale systems, customer records management, marketing automation, loyalty programs, beauty product inventory management, and team oversight.Our consumer marketplace enhances revenue opportunities for partner businesses by harnessing the power of online bookings and automated marketing through mobile applications, alongside advanced integrations with major tech brands like Instagram, Facebook, and Google.Role OverviewAs Fresha embarks on its next phase of global expansion, the Platform Engineering team plays a crucial role in fostering rapid, secure, and sustainable growth.In the capacity of Platform Engineering Team Lead, you will bear responsibility for the team's performance and outcomes, ensuring consistent delivery, proactive communication, robust system architecture, and adherence to operational standards.In light of the swift advancement of AI and automation, this is an exceptional opportunity to redefine platform development and operations, minimizing manual effort, enhancing reliability, and empowering smarter, faster engineering decisions.You will contribute to Fresha’s growth by promoting infrastructure readiness, aligning platform strategies with business objectives, and applying AI where it can provide tangible operational advantages.We place a strong emphasis on customer impact, even within internal projects, as platform enhancements ultimately serve to enrich the customer experience.

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 Wise as a Lead Analytics Engineer and play a pivotal role in driving data-driven decision-making across our global operations. You will lead a team of talented analytics professionals, utilizing your expertise to extract insights from complex datasets and develop innovative analytical solutions. Your work will directly impact our product development and overall business strategy.

About UsAt Perk, we are revolutionizing travel and spend management with our intelligent platform that streamlines tedious tasks like travel bookings, expense tracking, and invoice processing. By automating these processes, we free our clients from the burdens of shadow work, allowing them to focus on what truly matters—driving productivity and innovation.Serving over 10,000 companies worldwide, including industry leaders like Wise, On Running, Breitling, and Fabletics, we are committed to addressing the $1.7 trillion issue of lost productivity—averaging 7 hours per employee each week. Founded in 2015, Perk is a global team of over 1,800 professionals across 12 offices, with headquarters in London and Boston. We blend innovation, control, and simplicity to enhance workplace efficiency and employee satisfaction.Our values—ownership, delivering a 7-star experience, and teamwork—drive us. We seek individuals who are curious, purpose-driven, and possess the right mindset to unlock potential. Our diverse talent pool represents over 70 countries, and if you are eager to make a significant impact in the professional world, we welcome you to join our team.To learn more about us, visit www.perk.com.

Kraken is building a new Platform Support Engineering function within its Platform organization in London. This group will serve as the main contact for internal platform issues and requests, aiming to streamline workflows and ease the daily operational burden on core Platform Engineers. Role overview The Lead Platform Support Engineer will establish and guide this team from the ground up. This includes defining how requests are received and processed, setting up support procedures, and mentoring a small, distributed group of engineers. The role involves both hands-on operational work, such as monitoring ticket quality and response times, and strategic improvements like automation, documentation, and platform enhancements to reduce incoming support demand. What you will do Build and lead the Platform Support Engineering function. Design the intake model for requests and implement support processes. Mentor and support a growing team working across multiple time zones. Balance day-to-day operational tasks with long-term improvements to support efficiency. Collaborate with Platform leadership to ensure consistent, reliable support for engineers across Kraken. Team focus The Platform Support team will handle triage of incoming issues, manage routine requests, and drive improvements to internal processes. By taking on these responsibilities, the team enables Platform Engineers to concentrate on delivering technical solutions for Kraken’s global energy technology platform.

About Us:MoneyFarm is a dynamic and rapidly expanding pan-European digital wealth management firm dedicated to empowering over 167,000 active investors with more than £5.5 billion invested through our platform. Founded in Milan in 2011, our mission has always been to enhance people's financial well-being by simplifying personal investing through innovative technology. Today, we are recognized as one of the most forward-thinking fintech companies, proudly headquartered in the vibrant center of London.Our diverse team of over 220 professionals across four offices in Italy and the UK is supported by esteemed partners such as Poste Italiane, Cabot Square Capital, United Ventures, and Allianz.Our Vision:We aim to blend passion, expertise, and technology to provide exceptional investment solutions and guidance that safeguard and grow our clients' wealth over time.Core Values:Our operations are founded on three core principles:Relationships are our greatest asset: Trust, honesty, and transparency are the bedrock of our collaborative spirit. We prioritize our relationships above all.Trust fuels success: We create an environment where everyone has the freedom to flourish and make a tangible impact.Our clients aspire big, just like us: We maintain a broad perspective, ensuring our clients share in that vision. We are committed to achieving the best possible outcomes for our clients and ourselves, no matter the ambition.What This Means for You:At MoneyFarm, our individual contributions are key to our collective success. We operate with purpose, urgency, and ambition, aiming to deliver meaningful outcomes for our clients and business. Every team member is encouraged to take ownership, challenge norms, and transform innovative ideas into tangible results. As we advance, we embrace AI as a driving force for sharper insights, smarter decisions, and even greater impact.Our diversity is our strength. Varied perspectives, backgrounds, and experiences enhance our creativity and lead to improved decision-making, which gives us a competitive advantage. We value each individual for their unique contributions; thus, we provide flexible working arrangements to optimize performance.We warmly welcome candidates from the 'Categoria protetta' (Legge 68/99).Role Overview:Are you ready to shape how MoneyFarm approaches regulatory reporting and operational decision-making? Are you skilled in deploying models on Redshift, Airflow, and DBT, while also creating clean data tools using Tableau and Metabase? If you possess a builder's mindset and a passion for developing future-proof solutions, we want to connect with you.

About 9fin 9fin builds an AI-driven platform for the global debt markets, an asset class valued at over $145 trillion. The company brings together proprietary credit data, detailed analytics, and workflow tools into a single system, replacing fragmented data sources and manual processes for clients worldwide. More than 300 institutions, including major banks, asset managers, private equity firms, law practices, and advisors, use 9fin’s platform. The business is growing quickly, especially in the US, with strong client retention thanks to deep integration into client workflows. With product-market fit established and demand rising globally, 9fin is positioned to become the primary platform for debt markets around the world. Message from Rory, Head of Data Analytics At 9fin, data forms the foundation of the product. The analytics team works closely with colleagues who value data-driven decisions and strive to improve the platform’s impact. This is a place for those who want to lead projects end to end and shape the direction of the company. If that sounds like a fit, 9fin welcomes your application.

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 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.

Role Overview Wise is looking for a Senior Engineering Team Lead focused on Data Platforms to join the London office. This role centers on guiding a skilled team of engineers and strengthening the company’s data infrastructure. The position offers the chance to shape how Wise manages and scales its data capabilities. What You Will Do Lead and support a team of engineers working on Wise’s data platform Create an environment where collaboration and knowledge sharing are standard practice Drive improvements in platform reliability and performance Champion engineering best practices and help the team adopt them Work closely with stakeholders to ensure the platform meets operational needs Location This position is based in London.

Join FIRST, a premier global brand experience agency, as an Analytics Lead. In this key role, you will enhance our AI and data capabilities, transforming complex datasets into actionable insights that drive strategic business decisions for our clients. Reporting to the Director of Data and Analytics, you will work closely with a diverse range of sophisticated clients, enabling us to deliver measurable value and foster strategic transformations in the brand experience sector.

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.

Join cube as a Customer Analytics Lead and play a pivotal role in transforming data into actionable insights. You will lead a team of analysts to develop strategies that enhance customer experience and drive business growth. Your expertise in analytics will empower the organization to make data-driven decisions.

Role OverviewAs the Analytics Lead for the UK and Emerging Markets, you will serve as a pivotal intelligence hub, equipping our sales teams with the insights they need to make timely, data-driven decisions. This senior contributor role places you at the forefront of a high-performing analytics function that is being established from the ground up, allowing you to directly influence strategic initiatives as a trusted advisor to regional leadership.This position strikes a unique balance for a professional who thrives in both technical execution and business collaboration. You will be tasked with translating complex sales data into straightforward, actionable insights that empower our sales personnel and managers to uncover operational insights, enhance performance, and drive transformation within the organization.Team CollaborationYou will become an integral part of the Sales Analytics & Insights team, part of a global network within Sales Operations that is expanding across Australia, New Zealand, the UK, and North America. Our full-stack analytics team collaborates closely to deliver a range of services, from governed data reporting to predictive modeling and experimentation.Initial Focus AreasFormulating and executing a regional analytics roadmap to bolster strategic decision-making and elevate sales performance.Developing a suite of interactive dashboards and diagnostic reports utilizing Tableau and other contemporary BI tools.Leveraging our advanced technological stack, which includes Snowflake, DBT, and the integration of AI and Data Science.Engaging with senior stakeholders across the Finance and Product teams to align priorities and facilitate essential company decisions.Work EnvironmentXero is accredited as a Great Place to Work in the UK. This role supports flexible working arrangements and promotes a hybrid model, allowing you to balance your time between our modern office environment and remote work. We encourage team bonding through boost days designed to foster connection and collaboration, ensuring you feel valued no matter where you are based.

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.

Why Choose Valtech?At Valtech, we pride ourselves on being a leader in experience innovation, partnering with some of the world's most recognized brands. We provide our employees with abundant growth opportunities, a values-driven culture, and the chance to shape the future of customer experiences.The OpportunityJoin us at Valtech, where we foster an environment conducive to continuous learning, impactful contributions, and professional development. Whether you are innovating digital solutions, challenging traditional paradigms, or crafting the next generation of customer experiences, your contributions will be crucial in transforming industries.

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.

About WPP MediaWPP serves as the trusted growth partner for the world's leading brands. Our exceptional talent, reliable data, and strategic partnerships, unified through our innovative marketing platform, WPP Open, empower clients to navigate change, seize opportunities, and achieve transformational growth.WPP Media operates as WPP's AI-driven media division, integrating media, data, and partnerships to deliver creative personalization at scale. Through WPP Open and powered by Open Intelligence, clients gain transparency into the effectiveness of their media investments.For more information, visit wppmedia.com.Role Summary and ImpactAs the Account Lead, you will report to a Director or higher within the Client Team. Your primary responsibility will be to oversee analytics projects across multiple initiatives. You will handle all aspects of project management, including planning and resource allocation, ensuring effective project delivery, identifying challenges, and facilitating communication between teams and clients regarding project developments. Your role is pivotal in tracking scope changes and maintaining clear communication with all stakeholders, including finance, to ensure seamless project execution.