Quality Engineer at Code and Theory | London, England

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 Our platform revolutionizes the traditional e-commerce landscape, moving away from outdated website builders and faceless marketplaces to create vibrant, community-driven experiences for the new generation of merchants.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

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.

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.

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 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

About UsCarnall Farrar is a premier consultancy dedicated to creating a lasting impact on health and healthcare. Our mission is to collaborate with industry leaders and frontline teams to enhance health outcomes, revolutionize healthcare processes, promote innovation adoption, and generate value through strategic investments.We cater to the entire healthcare ecosystem, encompassing payors, providers, life science companies, health tech, suppliers, and health investors. Our comprehensive service offering spans from strategic planning to implementation, leveraging data, digital advancements, and AI technologies.By producing evidence-based thought leadership, we address critical challenges within health. Our unparalleled proficiency in accessing and utilizing health data empowers our consultants to effectuate significant and positive transformations.Our Strategic IntentWe aspire to lead the consulting domain in health, serving healthcare systems, life sciences, health technology, and the broader supplier landscape. Our end-to-end services facilitate organizations in enhancing population health and healthcare outcomes through strategy, transformation, finance, performance enhancement, and data-driven delivery.Our adeptness in data application is a cornerstone of our consulting work. We are acknowledged for our responsible use of health data to improve healthcare delivery, support innovation, generate evidence, and inform strategic decisions. Our engineering and data science capabilities are integral to our consulting services and are often deployed in collaboration with clients as part of multidisciplinary teams.We are cultivating a community of expert consultants eager to operate at the forefront of the profession and share a commitment to health. Our structured career development programs, ranging from Analyst to Partner, are supported by mentorship, apprenticeship, and formal training, fostering the leaders of tomorrow and enabling individuals to develop specialized expertise that delivers value to our clients.Our MissionOur goal is to be indispensable to our clients, aiding them in innovating and achieving lasting improvements while building an outstanding organization that attracts, nurtures, and retains a uniquely talented and trusted team.Role SummaryThe Lead Data Scientist will be pivotal in driving our data innovation initiatives, leveraging advanced analytics and machine learning techniques to generate actionable insights that support healthcare improvement.

Abound is changing how consumer lending works in the UK and beyond. By combining AI with Open Banking data, the company offers personal finance options that go beyond traditional credit scores. Each applicant is evaluated based on real financial habits and repayment history, aiming for fairer access to credit. Since launch, Abound has issued over £1.3bn in loans and kept default rates well below industry averages. Profitability came within 2.5 years. With more than £2bn in investment from Citi, GSR Ventures, Deutsche Bank, and others, Abound is recognized as one of Europe's fastest-growing fintechs. As the company expands into new markets and products, it seeks people eager to learn, take ownership, and grow alongside the team. Role overview The Data Engineer will join the Platform team in London, focusing on the development and improvement of Abound’s Data Lake. This position acts as a connector between Platform and Data Science, maintaining the infrastructure and data pipelines that drive decision-making across the business. The role is individual contributor level, offering autonomy and the chance to make a measurable impact. Main focus for the first 6–12 months Upgrade the Data Lake into a scalable, high-performance platform for analytics and data science. Migrate production workloads, including model calibration, ad-hoc analytics, and reporting, into the Data Lake. Redesign data structures to improve query speed, lower AWS costs, and ensure timely data availability. Collaborate closely with the Data Science team to support rapid experimentation and delivery through reliable data systems. Technology stack Cloud & Compute: AWS, ECS Fargate, AWS Lambda Databases & Data Lake: Aurora (PostgreSQL, MySQL), Athena, DMS, Glue, Iceberg Languages & Infrastructure as Code: Python, Spark, SQL Observability & Tooling: Amazon Managed Prometheus (AMP), incident.io, GitLab

About LendableLendable is dedicated to creating the finest technology to empower individuals in obtaining credit and managing their finances effectively. We are rapidly establishing ourselves as a leader in the fintech sector with significant momentum:Recognized as one of the UK’s newest unicorns, our team comprises over 700 talented professionals.Ranked among the fastest-growing tech companies in the UK.Achieved profitability since 2017.Supported by premier investors, including Balderton Capital and Goldman Sachs.Praised by our customers, with exceptional ratings (4.9 based on thousands of reviews on Trustpilot).To date, we have reimagined the three primary consumer finance products: loans, credit cards, and car finance. Our goal is to provide funds to our customers within minutes rather than days.As we continue to grow, we are targeting the two largest Western markets (the UK and US), where substantial financial assets are managed by large banks with outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of significant responsibilities. From day one, you will have the autonomy to make decisions that significantly influence Lendable's trajectory and success.Collaborate with small teams of exceptional individuals who are resourceful in solving challenges and discovering innovative solutions.Develop top-tier technology internally, leveraging new data sources, machine learning, and AI to minimize manual workloads.About the RoleWe are in search of an accomplished Lead Product Data Scientist to spearhead product analytics for our rapidly evolving multi-product application. In this influential role, you will be instrumental in deriving insights that enhance our Zable app, utilized by over 1 million customers on both iOS and Android platforms. Your insights will have a direct impact on product strategy and enhance the core user experience.

About The Dot CollectiveAt The Dot Collective, we are a forward-thinking consultancy operating across the UK and EU, dedicated to engineering excellence and empowering individuals to create significant impact.Our team utilizes the latest technology stacks and embraces agile scrum methodologies for all our projects.About YouAre you driven by a passion for data and its transformative potential? Do you thrive on making a substantial difference in a short time frame? If so, we may be the perfect fit for you.

Join Our Team! Contentful is seeking a Senior Data Engineer to play a pivotal role in designing, developing, and scaling advanced data solutions that drive analytics, operational reporting, and strategic decision-making within our organization. You will collaborate closely with our data, analytics, and business teams to create robust data pipelines, models, and integrations that ensure clean, reliable, and actionable data. You will be an integral part of a small, geographically diverse engineering team that operates with a product mindset—delivering iterative value while partnering closely with business and analytics stakeholders, and taking ownership of both the development and operational aspects of a critical data platform. Your Responsibilities Design, build, and maintain scalable data pipelines and transformations that integrate multiple systems and sources. Create high-quality data models that cater to analytics, reporting, and operational use cases. Collaborate with analytics, product, and business teams to identify data needs and translate them into effective technical solutions. Establish and enforce strong data quality, validation, and monitoring protocols to ensure the reliability and trustworthiness of our data. Optimize data storage, processing, and performance within cloud data warehousing environments. Contribute to the ongoing improvement of our modern data platform, including tooling, standards, and best practices. Support the operations of the data platform by troubleshooting issues, enhancing reliability, and ensuring SLAs are consistently met. Engage with cross-functional partners on governance, documentation, definitions, and data stewardship. Implement CI/CD practices and Infrastructure-as-Code (IaC) for automated deployment, testing, and environment management. Participate in code reviews, design discussions, and operational on-call rotations as required. Mentor team members and promote data engineering best practices across the organization. Your Skills and Experience Essential Qualifications 5+ years of experience in a Data Engineering or similar technical role. Expertise in SQL and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Experience in building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks. Proficiency in Python or another scripting language. Strong understanding of data modeling, data structures, and modern data architecture principles.

The RoleWe are excited to invite applications for the position of Senior Data Engineer to join our dynamic Data team based in London.This is an office-based position located at our London headquarters.Working at WGSNTogether, we shape the future.At WGSN, we thrive in a fast-paced and innovative environment filled with opportunities for professional growth. Our diverse team consists of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants, and more, all dedicated to a shared mission: to create tomorrow.Our reliable consumer and design forecasts empower exceptional product design, helping our clients envision a better future. Our offerings span consumer insights, beauty, consumer technology, fashion, interiors, lifestyle, food and drink forecasting, data analytics, and expert advisory services. If you're a specialist in your field, we would love to hear from you.Role OverviewAs WGSN expands its AI and Data capabilities, we aim to enhance our data architecture. As a Senior Data Engineer, you will be instrumental in designing, optimizing, and maintaining the data pipelines, models, and infrastructure that support our classification systems, AI workflows, forecasting models, TikTok insights, and consumer intelligence products.You will collaborate closely with our senior data scientists, analysts, and engineers, especially within the TikTok and Pulse pods, ensuring high-quality, well-structured, reliable data flows across Snowflake, Databricks, and downstream systems. This position is tailored for an individual with substantial technical expertise, advanced SQL and data modeling skills, and a passion for developing scalable, efficient data systems. This role is hands-on and requires a minimum of 5 years of experience in data engineering, including the ability to mentor junior engineers when necessary.Key ResponsibilitiesData Architecture & Modeling- Design, develop, and maintain scalable data architectures...