Lead Digital Analytics Engineer at Valtech | London

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 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 Our platform revolutionizes the traditional e-commerce landscape, moving away from outdated website builders and faceless marketplaces to create vibrant, community-driven experiences for the new generation of merchants.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

About Flywheel Digital Flywheel Digital supports leading brands with digital commerce solutions that drive growth across major online marketplaces. The company’s platform delivers near real-time performance insights, helping clients improve sales, market share, and profitability. With teams across the Americas, Europe, and APAC, Flywheel Digital offers broad opportunities for personal and professional development. Role Overview Flywheel Digital is hiring a Senior Data Engineer in London. This role focuses on data architecture and pipeline design, building advanced data solutions for AdTech and MarTech. The team is looking for someone with deep experience in these areas who is ready to lead projects and shape the next generation of data products.

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.

Infopro Digital is seeking a talented data journalist to join the esteemed Risk.net brand, located in London. Risk.net stands as the premier source for comprehensive news and analysis in risk management, financial markets, and regulatory affairs. Our journalism is trusted by influential figures across financial institutions, regulatory bodies, and policymakers worldwide. Being part of Risk.net means engaging with a globally recognized newsroom that influences financial decision-making.Risk Quantum, the data-centric division of Risk.net, adeptly converts publicly available financial data into meaningful journalism. Through incisive analysis and captivating visualizations, we make complex risk-related topics accessible, illuminating intricate trends in risk management, regulation, and market dynamics.The RoleWe invite applications from journalists with a strong affinity for data to join the Risk Quantum editorial team in London, operating in a hybrid work model.In this role, you will uncover compelling stories embedded within financial data and craft clear, authoritative articles that empower readers to grasp how their peers and competitors are faring, as well as how markets are evolving.Collaborating with a dedicated team of data journalists, you will produce daily articles utilizing information from bank disclosures, regulatory filings, stress test results, and market infrastructure data, along with other structured and unstructured data sourced from public documents, regulatory reports, and industry publications.This position demands strong reporting instincts and the agility to transition swiftly from analysis to publication, delivering accurate and insightful journalism under tight deadlines.Reporters will have the opportunity to develop their own areas of coverage and propose innovative ideas for new datasets and stories.Key ResponsibilitiesCompose clear and insightful articles based on publicly available financial and regulatory data.Analyze and interpret datasets from banks, funds, central clearing parties (CCPs), and other financial entities to highlight newsworthy developments.Create charts and visualizations to help readers quickly grasp the key findings within each story.Identify emerging trends in financial risk, markets, and regulation.Collaborate closely with other journalists across the newsroom on stories and investigative projects.Ensure accuracy, clarity, and adherence to house style in all published content.Identify new datasets and develop new coverage areas.Uphold the highest standards of journalistic integrity and accuracy.Why Join Us?At Risk.net, you’ll be at the forefront of significant developments shaping the financial markets and risk management landscape, working alongside expert journalists while honing a distinctive blend of data and investigative skills.

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.

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 sessions.Make architectural decisions, mentor junior engineers, and contribute to the establishment of engineering standards, documentation, and reusable frameworks.Experience Required:Minimum of 10 years of overall experience in data engineering.At least 5 years of experience in a data warehouse solution landscape.Proven experience leading complex data initiatives and making architectural decisions.Familiar with agile delivery methodologies, preferably SCRUM or Kanban.Ability to take ownership of data issues, conduct investigations and root cause analysis, and implement fixes through code and data modifications.Understanding of data warehouse testing strategies and quality assurance processes.Proficient in git branching strategies and code management.Solid understanding of technical release management processes in Azure DevOps.Strong communication skills, capable of driving alignment, collaboration, and efficiency within teams.

Digital Consulting Project LeadAbout the RoleJoin our dynamic consulting team at fifty-five, where we are seeking a Digital Consulting Project Lead with a robust background in digital marketing. Based in London, you will oversee the comprehensive delivery of client projects, fostering strong relationships with our prestigious clientele.In this role, you will lead a talented team of Digital Analytics Consultants, ensuring the successful execution of projects by understanding client needs, addressing inquiries, respecting timelines, and articulating fifty-five’s unique value proposition effectively.About the CompanyAs a member of the Brandtech Group, fifty-five empowers brands to collect, analyze, and activate their data across various channels—paid, earned, and owned—to enhance marketing ROI and boost customer acquisition and retention. With our headquarters in Paris and offices in key locations such as London, Hong Kong, Singapore, Milan, Geneva, Shenzhen, Taipei, New York, and Shanghai, we pride ourselves on being a certified Google Partner and one of the fastest-growing tech firms in Europe, as recognized by Deloitte. Our innovative technology seamlessly blends talent with software and service expertise.ResponsibilitiesReporting directly to the Consulting Manager, your key responsibilities will include:Conducting comprehensive analysis and consulting, proposing solutions in a systematic and realistic manner.Managing project planning, internal coordination, client relations, deadline adherence, risk management, quality control of deliverables, and overall profitability.Leveraging your sector knowledge to address client issues and propose tailored solutions across various industries, including consumer goods, retail, travel, and more.Utilizing your digital expertise to analyze and optimize digital activities such as media buying, e-business, and on-site customer experiences.Relevant ExperienceA Master’s degree in business, engineering, or a related field.Experience working in an international environment.Proven track record of managing a small team.Exceptional verbal and written communication skills, fostering strong relationships with senior clients, and demonstrating commercial acumen.Solid understanding of digital and data technologies.Extensive experience in project management or digital marketing within consulting firms, business intelligence publishers, advertisers, or digital natives.If you resonate with this opportunity, we encourage you to reach out! We look forward to connecting with you.What We Offer:Become part of a multicultural, dynamic, and rapidly expanding team.

Job Overview: Lead Product Developer (Tech Lead)Location: London (Hybrid - 3 days in-office)Reporting to: Delivery Lead / Client Services DirectorAbout Us:At AND Digital, we are a forward-thinking technology company committed to accelerating digital delivery and bridging the digital skills gap. Since our inception in 2014, we have been instrumental in enabling organizations to create superior digital products and cultivate robust digital teams.We believe in making a significant impact for our clients through our unique regional offices, known as 'Clubs', which foster strong partnerships and prioritize client needs with dedicated local teams.This innovative approach has propelled our success, reflected in our impressive organic growth since 2014. With over 1,300 talented individuals across Clubs in the UK, Europe, and the USA, we are on a mission to expand globally in the coming years.Join us in our vision to close the global digital skills gap!The RoleWe are in search of a Lead Product Developer to spearhead a significant project for one of our key clients, a global leader in the media and entertainment sector. In this position, you will not only oversee project delivery but also serve as the technical cornerstone of a vital platform that delivers advertising solutions and audience insights globally. This opportunity is ideal for a proactive technical expert who thrives in scaling sophisticated cloud-native architectures while nurturing a high-performance culture across dispersed teams.Key Responsibilities1. Technical Excellence & ExecutionHands-on Engineering: Lead by example as you continue to engage in hands-on development, writing high-quality code in Java and React, while ensuring the platform maintains scalability, security, and performance.Architectural Stewardship: Collaborate with Technical Architects to ensure the sustainability of our AWS-based ecosystem, balancing rapid delivery with technical integrity.Engineering Culture: Establish the benchmark for engineering practices, from robust CI/CD pipelines to thorough code reviews, fostering technical pride within the team.2. Team Leadership & EnablementDistributed Team Growth: Act as a liaison between our London stakeholders and Nearshore development teams, creating a cohesive “one-team” atmosphere that guarantees high code quality and consistency across regions.Mentorship: Encourage the development of ANDis and client developers, promoting a culture of high achievement through coaching and collaborative reviews.3. Stakeholder ManagementCollaborative Influence: Navigate a complex landscape of stakeholders...

About YouLendYouLend is an innovative and rapidly expanding FinTech company, recognized as the leading embedded financing platform for top-tier e-commerce platforms, technology firms, and Payment Service Providers. Our cutting-edge software empowers partners to enhance their offerings by providing customized financing solutions to their merchants under their own branding, all while mitigating capital risk.Backed by EQT, a prominent Private Equity firm, YouLend has achieved remarkable growth, exceeding 100% year-over-year since 2020. Based in London, we also operate across various European countries and the United States, serving renowned partners such as eBay, Amazon, Just Eat, Shopify, and Stripe.Position OverviewWe are on the lookout for a Data Engineer to become an integral part of our expanding Data Engineering & Platform team. This role is pivotal, bridging infrastructure, DevOps, and advanced data tools, with a primary focus on facilitating rapid, secure, and scalable analytics. You will play a crucial role in constructing and scaling a premier data platform that supports a wide array of functions, including dashboards, experimentation, machine learning, and compliance.Key Responsibilities:Develop and oversee the infrastructure for our data platform, utilizing technologies such as AWS, Snowflake, dbt, and Airflow.Design and execute CI/CD pipelines for dbt and various data workflows.Automate data platform operations using Python and infrastructure-as-code tools like Pulumi and Terraform.Collaborate with analytics, machine learning, product, and engineering teams to enhance data solutions.Maintain data quality, lineage, and governance through rigorous testing and monitoring.Utilize cost observability tools to promote efficient platform usage.Qualifications:The ideal candidate will possess the following qualifications:Demonstrable experience with cloud-based data platforms such as Snowflake, Redshift, or BigQuery.Strong proficiency in Python and SQL for automation and analytics purposes.Familiarity with CI/CD processes, particularly in dbt or similar data platforms.Practical experience with Infrastructure as Code (IaC) tools including Pulumi, Terraform, or CloudFormation.Solid understanding of orchestration tools like Airflow.Exceptional communication skills with a history of cross-functional collaboration.Desirable Skills:Experience with AWS services (S3, Lambda, MWAA) and Azure DevOps.Familiarity with monitoring tools such as DataDog.Why Choose YouLend?Recognized as one of the “Best Places to Work in 2024”, YouLend offers a dynamic workplace environment.

About Valtech Valtech partners with leading brands worldwide to shape the future of experience innovation. The company supports employee growth through international career paths, values-driven culture, and opportunities to make a real impact on how industries evolve. What Sets Valtech Apart Innovative projects and industry advancements Core values: share, care, and dare Culture that encourages creativity, diversity, and autonomy Global teams that collaborate across borders Role Overview: Lead Data Scientist The Lead Data Scientist at Valtech applies deep experience in data science to solve business problems. The role involves both traditional machine learning and advanced AI, with a focus on large language models (LLMs) and agentic AI. Expect to work hands-on with modeling, experiment with new approaches, and explain findings clearly to colleagues who may not have technical backgrounds. This position suits someone with a practical mindset, strong problem-solving skills, and a genuine curiosity about new technologies. The Lead Data Scientist helps spot opportunities and delivers solutions that make a difference. Location London

About WheelyWheely is revolutionizing premium transportation in major cities across Europe, the US, and the Middle East. Our blend of innovative technology and exquisite chauffeuring services has garnered the trust of over 100,000 active riders and 1,200 corporate accounts.As a profitable and rapidly expanding scale-up with $43M raised and more than $100M in annual revenue, we have recently launched in New York City and are ambitiously growing throughout the US and EMEA. If you are passionate about your craft and eager to contribute to our next growth phase, we want to hear from you.We are seeking a Data Engineer to enhance our Data Team at Wheely, delivering a top-notch and seamless data experience to Business Users and Data Scientists.

As a Data Engineer at dev2, you will play a pivotal role in designing, building, and maintaining data pipelines that enable our teams to make data-driven decisions. You will work closely with data scientists and analysts to ensure the data infrastructure is robust and scalable.Your responsibilities will include optimizing data flow, ensuring data quality, and implementing best practices in data management. This is an exciting opportunity to be part of a forward-thinking company that values innovation and creativity.

About UsAt AND Digital, we are a pioneering technology firm committed to enhancing digital delivery and bridging the digital skills divide. Since our inception in 2014, we've empowered organizations to develop superior digital products and cultivate robust digital teams. We believe that our efforts should always yield significant value for our clients. Through our regional offices, affectionately referred to as 'Clubs,' we foster strong partnerships with our clients, ensuring they receive personalized attention from local teams. This distinctive approach has fueled mutual success, evident in our impressive organic growth over the years. Today, we boast a team of over 1,300 professionals across the UK, Europe, and the USA, with aspirations for global expansion in the near future. Join us in our mission to close the digital skills gap worldwide.Your Role: Solution Director – Data & AIAs a Solution Director within our Clubs, you will be instrumental in shaping and propelling the growth of AND's Data & AI division. Your responsibilities will include defining our go-to-market strategy, cultivating strong partnerships within the ecosystem, and steering project delivery through AND's innovative club model. Serving as a senior advisor to clients, you will craft transformative Data & AI solutions while enhancing internal capabilities and driving technical excellence.Key Responsibilities1. Lead Propositions and Practice IPTake ownership of AND’s Data & AI offerings, partnerships, and thought leadership initiatives.Establish yourself as a visible leader in the Data community, championing consistency, quality, and innovation.Develop training and mentorship programs to enhance internal capabilities.2. Client EngagementAct as a trusted advisor to executive stakeholders (CTO/CDO/CPO).Forge relationships that reveal client challenges and opportunities.Illustrate the art of the possible in Data & AI, linking innovation to tangible results.3. Solution DevelopmentConvert complex business needs into compelling, value-driven Data & AI solutions.Guide teams to realize the vision and ensure effective, outcome-oriented delivery.Assist in business case development and pre-sales activities.4. Growth StrategyIdentify, qualify, and shape new opportunities across AND.Collaborate with Client Teams to develop proposals, mentor peers, and influence outcomes.Achieve a targeted leveraged revenue impact of approximately £2m+.5. Leadership and InspirationProvide senior oversight, coaching, and technical guidance across various engagements.Promote excellence and serve as a role model for proactive, positive leadership.

Join our dynamic team at OctoEnergy as a Data Engineer, where you will play a pivotal role in transforming data into actionable insights. We are seeking a motivated and innovative individual who thrives on tackling complex challenges and delivering high-quality solutions.

ASOS Plc seeks a Data Engineer in London to support data processing and analytics for its online fashion platform. This role centers on improving how data is managed and used across the company. Role overview The Data Engineer will work with modern data technologies, contributing to projects that influence data-driven decisions throughout the business. The position involves collaborating with teams to strengthen data workflows and ensure reliable analytics. Location This is a London-based role, working onsite with ASOS Plc's technology and analytics teams.

About SwapAt Swap, we are revolutionizing modern commerce with our unique AI-native platform that seamlessly integrates backend operations with an innovative storefront experience. Our solution is designed for brands aspiring to sell anything, anywhere, by centralizing global operations and enabling intelligent workflows. With real-time data and capabilities, our products cover cross-border transactions, tax management, returns, demand planning, and our state-of-the-art agentic storefront. This empowers merchants with complete transparency and the confidence to make informed decisions.We are fostering a culture at Swap that emphasizes clarity, creativity, and a shared sense of ownership as we redefine the landscape of global commerce.About the RoleWe are seeking enthusiastic, detail-oriented, and adaptable Data Engineers to join our platform team during an exciting phase of growth. This role is ideal for proactive engineers who thrive in dynamic environments and are eager to take charge, contribute significantly, and collaborate closely with product teams.In this pivotal position, you will play a key role in designing, optimizing, and scaling our premier data platform, which fuels our advanced customer-facing agentic systems. You will engage proactively with Product Managers and stakeholders to advocate for best practices, ensuring our platform remains robust and poised for future advancements.This hands-on builder role is suited for knowledgeable and enthusiastic team players excited about the opportunity to accelerate and expand a greenfield platform.Key ResponsibilitiesData Pipeline Engineering: Develop, optimize, and sustain comprehensive end-to-end data pipelines for essential business operations. Prioritize low latency, strong observability, and effective alerting for batch and stream processing to guarantee data reliability.API Development: Support the design and implementation of new features within the API layer, collaborating with product teams to ensure efficient data access.Platform Contribution: Own specific components of the data platform, actively contributing technical enhancements for scalability, future readiness, and alignment with Swap's long-term product strategy.Data Quality & Governance: Implement and advocate for best practices in data quality to ensure the data's integrity and reliability.What We Would Like to SeeA minimum of 3 years of experience in data engineering or related roles, demonstrating a strong understanding of data systems.Proficiency in programming languages such as Python, Java, or Scala.Experience with cloud platforms such as AWS, Azure, or Google Cloud.Strong problem-solving skills and a passion for data-driven decision-making.

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.

Join Us in Empowering the UK’s Small Businesses At Funding Circle, we believe that small businesses are the backbone of the economy. Our innovative platform accelerates access to funding, allowing businesses to secure the capital they need in just minutes.We blend the agility of a fintech start-up with the security of a public company, empowering our team members—affectionately known as Circlers—to take ownership and drive impactful outcomes.Our high-performing culture is built on collaboration and support. We challenge one another, uplift our peers, and thrive as a united force to achieve meaningful results.Real Impact: Last year, the companies on our platform contributed £7.2bn to the UK economy Come join a mission that truly matters![View Our Impact Report] | [Check Our Trustpilot]The Role London (Hybrid) | 3 Days in the Office | Competitive Salary + BenefitsWe are seeking a Senior (Lead) Data Scientist to join our team as we innovate and refine our next generation of models. Your contributions will be crucial in developing, implementing, and monitoring these models to create substantial value for the business.As a member of the Decision Science team, you will engineer advanced statistical and machine learning models while collaborating with data engineers, analysts, and business stakeholders. You will enhance existing models and have the opportunity to create entirely new models as we expand our borrower products.Develop innovative statistical and machine learning models for commercial lending productsMaintain a strong focus on delivering tangible business outcomes and proactively challenge established normsProvide technical mentorship and guidance to junior team members throughout the model development processAdvise the team on best practices for risk managementOversee the experimentation framework for optimizing models