Engineering Lead - Analytics Platform

Note: This position requires 4 days of in-office work in Central London and 1 day of remote work.Key Responsibilities:Develop features, resolve issues, and perform daily monitoring on the cloud delta lakehouse data platform.Collaborate within an agile technical team, actively engaging in all ceremonies, including daily stand-ups and backlog refinement sessio…

Join 9fin as our Data Engineering LeadAt 9fin, we are revolutionizing the global debt markets with our cutting-edge AI platform, which oversees the largest asset class valued at over $145 trillion.Despite the vastness and critical importance of debt markets, they continue to operate on fragmented data sources, PDFs, and outdated manual processes. Our innovative platform consolidates proprietary credit data, in-depth analysis, and valuable workflows to streamline operations across the globe.Currently, 9fin supports over 300 esteemed institutions worldwide, including major banks, asset managers, private equity firms, law firms, and advisory services. We are experiencing rapid growth, particularly in the US, with exceptional retention rates driven by our deep workflow integration.We stand at a pivotal moment in our journey. With a proven product-market fit and increasing global demand, 9fin is on the fast track to becoming the leading platform for debt markets internationally.Your Role and ResponsibilitiesAs the Data Engineering Lead, you will be responsible for guiding the technical roadmap of our data platform, enhancing reliability, scalability, and engineering excellence. This is a dynamic hands-on role where you will both lead and mentor.Define the Data Platform Roadmap: Establish the technical direction and implement impactful improvements to our platform, focusing on reliability, cost-efficiency, developer experience, and scalability. You will prioritize and execute the strategic platform enhancements for the upcoming year.Develop Customer-Facing APIs & Feeds: Collaborate on the design and implementation of API-driven feeds and enrichment pipelines that evolve into product features and revenue opportunities.Enhance Orchestration in Dagster: Create and optimize asset-based pipelines, sensors, schedules, backfills, IO managers, and monitoring patterns that are resilient, idempotent, and user-friendly. Establish standard practices for incremental jobs, full refreshes, and reverse ETL.Streamline Data Ingestion: Refine and scale ingestion processes utilizing Airbyte OSS and DLT, addressing schema drift, connector health, rate limits, retries, checkpointing, and operational robustness to ensure seamless pipeline execution.Strengthen BigQuery Infrastructure: Lead the evolution of our best practices, partitioning & clustering strategies, slot/cost management, and query performance standards.Enhance Data Quality & Observability: Implement service-level objectives (SLOs) for data freshness, automated validation checks, data provenance, and proactive alerting to ensure reliability for the business and our clients.

About Tilt At Tilt, we are on a mission to Make Commerce Alive. Our platform revolutionizes the traditional e-commerce landscape, moving away from outdated website builders and faceless marketplaces to create vibrant, community-driven experiences for the new generation of merchants. With millions of engaged shoppers across the UK, from sneaker enthusiasts to collectors, Tilt empowers sellers to achieve remarkable earnings, often exceeding £1M. We are just getting started!Your Mission As our Lead Data Engineer, you will take charge of shaping and advancing our comprehensive data platform. This is a hands-on role with significant ownership where you will oversee the architecture, reliability, and scalability of our data warehouse and analytics stack. Your expertise will help refine our existing systems, including Snowflake, Dagster, dbt, Postgres, Metabase, and ContextFlow, while establishing standards for intelligent growth. We seek an individual who not only writes SQL but deeply understands data, thinks critically, and designs enduring systems.What You’ll Do 0–3 monthsGain an in-depth understanding of our Snowflake warehouse architectureAudit and enhance existing dbt models for clarity and performanceStabilize and review Dagster orchestration pipelinesIdentify data quality gaps and implement rigorous testing standardsEnsure key dashboards in Metabase are based on reliable datasetsDocument current systems and define architectural standards3+ monthsRedesign and optimize warehouse architecture where necessaryImplement scalable data modeling patterns across various domainsEnhance cost efficiency and performance in SnowflakeIntroduce advanced observability, testing, and lineage practicesEnable AI and product features by structuring high-quality, production-ready datasetsEstablish clear version control and deployment workflows for data changesCollaborate with product and engineering teams to define data contracts and ownership

We are on the lookout for a skilled Lead Data Engineer who can design and develop robust data infrastructure that fuels insightful data analysis and innovative predictive and generative models. The ideal candidate will possess a product-driven mindset and have a proven track record of transforming business requirements into sophisticated technical solutions. You will have the opportunity to implement best practices and build the foundation for a top-tier data organization. In your role, you will collaborate with various stakeholders across the agency, exercise considerable autonomy in your technical choices, and significantly contribute to our data strategy and the culture of our data engineering team.

About Us:At AND Digital, we are a pioneering tech company committed to accelerating digital delivery and bridging the digital skills divide. Since our inception in 2014, we have empowered organizations to create superior digital products and build robust digital teams.Our philosophy is rooted in leaving a lasting legacy for our clients by fostering close-knit relationships through our regional 'Clubs', ensuring our partners are prioritized by dedicated teams in their vicinity.This distinctive approach has fueled remarkable organic growth for both our clients and ourselves, and we invite you to join us in our mission to close the global digital skills gap.Position Overview:We are in search of a Lead Data Engineer to serve as the technical practice lead for our Luna data team. This pivotal role involves spearheading a high-priority migration from our existing Redshift environment to a new AWS RDS (Postgres) architecture.In addition to overseeing technical architecture, you will mentor and develop the skills of our Data Analysts, guiding their transition from SQL-centric workflows to production-ready Python and DataOps methodologies, while collaborating with stakeholders to convert business requirements into scalable technical roadmaps.

About WPP MediaWPP serves as a trusted growth partner for the world’s foremost brands. By leveraging exceptional talent, reliable data, and strategic partnerships through our innovative marketing platform, WPP Open, we empower clients to navigate change, seize opportunities, and achieve transformative growth.As WPP's AI-driven media operating unit, WPP Media merges media, data, and partnerships to deliver creative personalization at scale. Through WPP Open and powered by Open Intelligence, clients gain clear insights into the effectiveness of their media investments.For more information, visit wppmedia.com.As a Lead Data Engineer within our Wavemaker team, you will act as the technical authority for the data engineering practice across WPP Media’s broader Business Intelligence & Data Engineering agency teams. Your role will involve defining, driving, and implementing best-in-class data engineering strategies and solutions, particularly focusing on the Measure data platform. You will directly engage with Wavemaker clients and collaborate closely with the Wavemaker BI team to ensure their data requirements are met with state-of-the-art solutions.

About Indicium AI Indicium AI is a premier global consultancy renowned for integrating AI into production at scale. We partner with some of the world’s foremost enterprises across various sectors, including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our mission is to unlock the potential of AI, facilitating strategic implementation through speed, clarity, and unparalleled capability. With a dedicated team of over 600 AI experts, we serve more than 50 enterprise clients across five global offices. Collaborating with industry leaders such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, we drive modern AI solutions that yield tangible results. Opportunity We are eager to connect with individuals possessing a robust data background and cloud-native skills, particularly those experienced in delivering high-quality software solutions. As a consulting firm focused on outcomes, we seek professionals who embrace a consultative approach to problem-solving in a comprehensive, end-to-end manner. Join our diverse, talented team to share knowledge and learn from varied experiences. Responsibilities Lead the technical implementation and delivery of advanced data systems and AI-enabled applications. Address end-to-end data challenges and identify opportunities at scale. Contribute to the architecture and design of innovative solutions. Collaborate with clients to bring their data strategies to fruition. Work with your cross-functional team throughout all phases of engagement, including advisory, design, and implementation of comprehensive solutions. Participate in internal initiatives, such as writing blogs and engaging in technical forums. Requirements Strong understanding of modern data engineering concepts (e.g., distributed systems, data streaming, event-based architectures). Experience with software engineering and DevOps best practices, encompassing the entire software development lifecycle (SDLC) applied to data: automation, testing, contract definition, clean code, CI/CD, and path to production. Familiarity with one or more cloud platforms and services such as AWS, Azure, or GCP. Extensive hands-on experience with contemporary data technologies and ETL tools (e.g., Kafka, Flink, DBT) and data storage solutions (e.g., Snowflake, Redshift).

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.

We are seeking a highly skilled and innovative Lead Data Scientist to join our dynamic team at Faculty. In this role, you will leverage your expertise in advanced analytics and machine learning to drive impactful data-driven solutions. You will lead a team of talented data scientists, guiding them in the development of predictive models and analytical frameworks that support our mission to optimize outcomes across various sectors.

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.

Role overview Telefonica Tech seeks a Lead Data Consultant based in London. This position focuses on guiding clients as they navigate complex data challenges, aiming to turn raw information into practical insights that drive business results. Collaboration is central to this role. The Lead Data Consultant works with cross-functional teams to design and deliver data solutions tailored to client needs. Building data literacy across organizations is also a key part of the job, helping clients make informed decisions and strengthen their capabilities.

We are looking for a highly skilled and experienced Technical Design Lead to join our innovative and diverse data centre team. This crucial role involves spearheading the design and execution of complex hyperscale, colocation, and enterprise data centre projects throughout Europe. You will manage multi-disciplinary teams, uphold technical excellence, and foster strong client relationships.This is a client-facing, hands-on position with excellent opportunities for career advancement, engaging with high-profile, fast-paced projects for global clients.Regular travel to our UK & I + European offices will be required as part of this role.Your Responsibilities:Lead and coordinate multi-disciplinary design teams (Architecture, Civil, Structural, Mechanical, Electrical, Plumbing, Security, Fire Protection, ICT, BMS/EPMS) across the UK and Europe.Oversee all phases of data centre projects from site due diligence, campus planning, conceptual/schematic/detailed design to construction documentation.Ensure timely delivery of high-quality design outputs that align with client needs and project timelines.Proactively identify and mitigate project risks, offering innovative and practical solutions.Support the broader Sector and Commercial teams in commercial and contractual governance, ensuring compliance and risk mitigation.Establish and maintain trusted relationships with key clients and collaborate with Client CAM.Present to clients and stakeholders, ensuring high-quality and timely delivery outputs.Work in collaboration with design teams and local delivery teams to ensure compliance with localization and permitting requirements.Respond promptly to client requirements.

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 ZegoAt Zego, we believe that traditional motor insurance can be a barrier for exemplary drivers. It's often too complex, costly, and fails to accurately reflect real driving behavior.Since our inception in 2016, we've dedicated ourselves to transforming the insurance landscape. Our goal is to provide the most affordable insurance options for responsible drivers.Our diverse clientele, ranging from van drivers and gig economy workers to everyday car owners, is at the core of our operations.Having successfully sold tens of millions of policies and secured over $200 million in funding, we are just getting started on this exciting journey.Your RoleWe are in search of a Lead Data Scientist to join our Core Pricing team, reporting directly to the Head of Data Science. You will play a critical role in shaping and executing a high-performance data-science operating model, swiftly transforming concepts into production-ready pricing and risk models.Key ResponsibilitiesLead the development and enhancement of next-generation risk models, managing all aspects from innovative feature discovery and sophisticated modeling to dependable pipeline deployment and strategic R&D initiatives.Implement a robust Data Science workflow: ensuring clear guidelines, templates, and documentation throughout the project lifecycle.Accelerate the idea-to-production timeline: from initial data acquisition to live rate adjustments.Promote a culture of collaborative experimentation: integrating Pricing, Data Science, Machine Learning Engineering, and Systems Engineering.Team leadership and mentorship: oversee a team of 2 Data Scientists, guiding their professional growth and development.Establish coding standards and best practices, mapping common processes and creating playbooks.Assist in selecting tools utilized throughout the Data Science project lifecycle.

Are you passionate about data and eager to drive innovation? Join Hudl as a Lead Data Scientist and take the reins in shaping data-driven strategies. In this role, you will leverage advanced analytics to enhance performance across various teams and projects, while mentoring junior data scientists to foster their growth.

Join carwow as a Lead Data Analyst and play a pivotal role in shaping data-driven decisions that enhance our customer experience. You will lead a team of analysts, leveraging data to provide actionable insights and guide strategic initiatives. In this role, you will collaborate with cross-functional teams to interpret data trends and develop robust analytical frameworks that drive business performance.

About the Role AECOM is hiring a Technical Design Lead for the Data Centres team in London. This leadership role shapes the design of advanced data centre facilities and guides projects from concept through delivery. What You Will Do Lead design initiatives for data centre projects Ensure facilities meet high standards for functionality, efficiency, and sustainability Contribute technical expertise throughout all project phases This position plays a key part in developing data centre solutions that support client needs and industry benchmarks.

At causaLens, we revolutionize analytics and data science with our cutting-edge digital workforce, designed to streamline and automate intricate analytics workflows. Our innovative AI agents function as reliable digital employees, removing the necessity for disconnected tools, third-party consultants, and costly seat licenses. With the trust of industry giants like Cisco, Johnson & Johnson, and Canon, causaLens enables teams to glean insights at lightning speed—ten times faster and at a fraction of the cost—while guaranteeing outcomes and eliminating overhead.Curious about our culture? Check out these two insightful articles:1. A Hiring Framework for a New Kind of Services Company2. The Primacy of WinningWe are in search of a Lead AI Engineer who is driven by a desire to assist leading enterprises in crafting and implementing scalable, well-organized solutions to tackle real business challenges. In this role, you will engage in significant, high-visibility projects—defining architectures, drafting solution specifications, and spearheading technical deliveries to ensure successful results. As a hands-on technical leader, you will decompose projects into actionable units and guide teams through their execution.

Wise is looking for a Lead Data Analyst to strengthen operational performance through data insights. This role is based in London and centers on guiding a team of analysts, collaborating with colleagues across departments, and turning data into clear recommendations for process improvements. Role overview This position focuses on uncovering opportunities to refine operations and support better decision-making. The Lead Data Analyst interprets complex data, develops practical strategies, and communicates findings directly to stakeholders. What you will do Lead and mentor a team of data analysts Work with cross-functional teams to identify and prioritize process improvements Analyze large datasets to extract actionable insights Present data-driven recommendations to stakeholders Requirements Strong analytical skills and experience with complex datasets Ability to develop strategies based on data findings Experience presenting to and influencing stakeholders Background in leading or mentoring analysts is preferred

Join our dynamic team at ben as an Engineering Lead. In this pivotal role, you will oversee engineering projects, lead a talented team of engineers, and drive innovation to meet the strategic goals of the company. Your expertise will be crucial in shaping the engineering direction and ensuring high-quality outcomes.