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Experience Level
Entry Level
Qualifications
Proficiency in programming languages such as Python, SQL, and Java. Experience with data warehousing solutions and ETL processes. Strong understanding of data modeling, data architecture, and data governance. Familiarity with cloud platforms (e.g., AWS, Azure) is highly desirable. Ability to work collaboratively in a fast-paced environment. Curiosity and a passion for problem-solving.
About the job
At Intropic, we are pioneering the future of financial intelligence, combining extensive market expertise with cutting-edge AI technology. Established in the heart of London's Canary Wharf, our mission is to transform intricate data into actionable insights with clarity and precision. Our workplace culture prioritizes truth, speed, and accountability, which shape our collaborative and innovative approach to building and learning. Here, we foster an environment where curiosity is not just welcomed but essential. If you are motivated by challenges, inspired by creativity, and eager to elevate your intelligence alongside a team of brilliant minds, Intropic is the perfect place for your ideas to flourish.
As a member of our small yet impactful team, you will have the chance to make significant contributions from day one. Your role will involve collaborating closely with the team to identify and understand the needs of Researchers/Users, translating those insights into functional features. You will be expected to take full ownership of the features you develop, ensuring their continuous improvement and maintenance.
About Intropic
Intropic is at the forefront of financial intelligence, leveraging AI to create insights from complex data. Based in London's Canary Wharf, we are committed to innovation, integrity, and impactful learning.
At Intropic, we are pioneering the future of financial intelligence, combining extensive market expertise with cutting-edge AI technology. Established in the heart of London's Canary Wharf, our mission is to transform intricate data into actionable insights with clarity and precision. Our workplace culture prioritizes truth, speed, and accountability, which shape our collaborative and innovative approach to building and learning. Here, we foster an environment where curiosity is not just welcomed but essential. If you are motivated by challenges, inspired by creativity, and eager to elevate your intelligence alongside a team of brilliant minds, Intropic is the perfect place for your ideas to flourish.As a member of our small yet impactful team, you will have the chance to make significant contributions from day one. Your role will involve collaborating closely with the team to identify and understand the needs of Researchers/Users, translating those insights into functional features. You will be expected to take full ownership of the features you develop, ensuring their continuous improvement and maintenance.
The RoleAt Intropic, we are at the forefront of financial intelligence, merging extensive market knowledge with cutting-edge AI technology. Established in the bustling financial hub of Canary Wharf, London, our mission is to convert intricate data into clear, precise, and actionable insights. Our core values of truth-seeking, speed, and accountability shape our culture, driving innovation and collaboration every single day. We thrive on rapid decision-making, independent thinking, and an unwavering commitment to integrity and impact. Curiosity is not just welcomed; it is essential. If you are eager to tackle challenges, inspired by groundbreaking ideas, and ready to enhance your intelligence among a team of outstanding thinkers, Intropic is the place where your ideas can truly flourish.
Who We AreAt Intropic, we are revolutionizing financial intelligence by merging profound market expertise with cutting-edge AI technology. Established in the heart of London’s Canary Wharf, our mission is to simplify complex data into actionable insights. Our workplace culture thrives on values such as truth-seeking, speed, and accountability, shaping our collaborative and innovative environment. We prioritize integrity and impact, encouraging curiosity and independent thinking. If you are passionate about tackling challenges, driven by innovation, and eager to enhance your intelligence alongside a team of brilliant minds, Intropic is the perfect place for you to bring your ideas to life.Who We Look ForAs a dynamic fintech start-up with a successful product lineup, we are on the brink of launching our next groundbreaking initiative. We seek individuals who excel at solving complex, open-ended problems across various domains; our engineers are expected to engage in more than just routine tasks. A typical week might involve debugging Python code, implementing infrastructure changes, engaging with early adopters, and collaborating on strategic planning with team leads. We value talent over traditional resumes; if you are interested, we would be thrilled to hear from you!
Are you passionate about leveraging quantitative analysis to drive innovative solutions? As a Quantitative Developer at Intropic, you will play a pivotal role in developing and implementing cutting-edge quantitative models that enhance our services. You will collaborate with a dynamic team of experts, utilizing your analytical skills to tackle complex challenges and contribute to the success of our projects.
About UsAt Intropic, we are at the forefront of financial intelligence, merging extensive market knowledge with cutting-edge AI technology. Established in the heart of London’s Canary Wharf, our mission is to convert intricate data into clear insights that drive actionable results. Our work culture is defined by principles of truth-seeking, speed, and accountability, which guide our daily collaboration and innovation. We prioritize fast-paced learning and uphold the highest standards of integrity and impact. Curiosity is central to our ethos—if you are motivated by challenges, inspired by innovation, and eager to enhance your intelligence alongside a team of brilliant minds, Intropic is the perfect place for your ideas to thrive.Who We Are Looking ForWe are in search of a dynamic and technically proficient Market Data Engineer who excels in constructing resilient, low-latency systems. If you possess a passion for financial markets and expertise in developing real-time data pipelines, we would be excited to connect with you.
Join Us at IntropicAt Intropic, we're pioneering the future of financial intelligence, merging deep market expertise with cutting-edge AI technology. Established in the financial hub of Canary Wharf, London, our mission is to distill complex data into clarity, precision, and actionable insights. Our culture is driven by values of truth-seeking, speed, and ownership, which shape our approach to building, learning, and collaboration. We prioritize integrity, impact, and a fast-paced environment where curiosity is not just welcomed, but vital. If you are eager for challenges, inspired by innovation, and ready to elevate your intelligence alongside a team of extraordinary minds, Intropic is the place where your ideas can flourish.Who We Are Looking ForAs a thriving fintech start-up with a proven range of products, we are now on a mission to create the next groundbreaking solution. We seek individuals who excel in tackling open-ended challenges across various disciplines. Our engineers engage in more than just standard tasks; your role may involve debugging Python, deploying infrastructure updates, engaging with product early adopters, and strategizing with team leaders. We value individuals over resumes; if this sounds like you, we would be excited to connect!
We are seeking a driven and innovative Quantitative Developer who is enthusiastic about leveraging financial data to create impactful products for traders and researchers. At Intropic, you'll become an integral part of a dynamic fintech startup, where engineers tackle challenging, open-ended problems spanning research, data, and product development — we pride ourselves on our proactive approach, rather than just responding to JIRA tickets.In a typical week, you will engage in a variety of tasks including Python and SQL development, implementing infrastructure changes, enhancing features of financial data products, collaborating on strategic planning with team leads, and attending client meetings to communicate your work and gather valuable feedback. We are looking for someone who enjoys delivering production-grade code, thrives in uncertain environments, works closely with analysts and product teams, and takes pride in maintaining clean, well-tested systems that support actual trading and research workflows.At Intropic, we prioritize hiring the right individual over just a polished CV. If you are passionate about taking full ownership of projects and want to influence both product and research trajectories, we invite you to apply. This is a full-time position expected to commence in the first half of 2026.
Join intropic as a Quantrepreneur in Engineering, where you will have the opportunity to innovate and shape the future of technology. As part of our dynamic team, you will engage in pioneering projects that challenge the status quo and push the boundaries of engineering.
Are you passionate about research and data analysis? At intropic, we are looking for a dedicated Research Analyst (Index) to join our team in London. In this role, you will be responsible for analyzing market trends and contributing to our indexing projects that drive strategic insights for our clients.
About UsAt Intropic, a burgeoning start-up backed by prominent venture capital, we are passionate about harnessing information to empower individuals and fuel innovation. As we embark on our journey in the information economy, our cutting-edge suite of data processing software is set to revolutionize decision-making processes across various sectors, starting with finance and capital markets. Discover our story and vision in a spotlight on Intropic here. Join us in unlocking the immense potential of information.What We're Looking ForWe seek dynamic individuals who possess robust technical and analytical capabilities, coupled with an entrepreneurial mindset and a desire to make a significant impact. Our 2026 internship program offers a unique opportunity for innovative thinkers and problem solvers to engage across diverse disciplines. If you have founded your own venture, developed a product from inception, or spearheaded a notable project during your academic journey, we would love to hear from you!
Are you a dynamic individual with a passion for entrepreneurship and business growth? At intropic, we're seeking a Quantrepreneur in Business Development to join our innovative team in London. In this role, you will harness your entrepreneurial spirit to identify and pursue new business opportunities, forge strategic partnerships, and drive growth initiatives that will shape the future of our company.
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 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.
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
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 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.
At Intropic, we are pioneering the future of financial intelligence, combining extensive market expertise with cutting-edge AI technology. Established in the heart of London's Canary Wharf, our mission is to transform intricate data into actionable insights with clarity and precision. Our workplace culture prioritizes truth, speed, and accountability, which shape our collaborative and innovative approach to building and learning. Here, we foster an environment where curiosity is not just welcomed but essential. If you are motivated by challenges, inspired by creativity, and eager to elevate your intelligence alongside a team of brilliant minds, Intropic is the perfect place for your ideas to flourish.As a member of our small yet impactful team, you will have the chance to make significant contributions from day one. Your role will involve collaborating closely with the team to identify and understand the needs of Researchers/Users, translating those insights into functional features. You will be expected to take full ownership of the features you develop, ensuring their continuous improvement and maintenance.
The RoleAt Intropic, we are at the forefront of financial intelligence, merging extensive market knowledge with cutting-edge AI technology. Established in the bustling financial hub of Canary Wharf, London, our mission is to convert intricate data into clear, precise, and actionable insights. Our core values of truth-seeking, speed, and accountability shape our culture, driving innovation and collaboration every single day. We thrive on rapid decision-making, independent thinking, and an unwavering commitment to integrity and impact. Curiosity is not just welcomed; it is essential. If you are eager to tackle challenges, inspired by groundbreaking ideas, and ready to enhance your intelligence among a team of outstanding thinkers, Intropic is the place where your ideas can truly flourish.
Who We AreAt Intropic, we are revolutionizing financial intelligence by merging profound market expertise with cutting-edge AI technology. Established in the heart of London’s Canary Wharf, our mission is to simplify complex data into actionable insights. Our workplace culture thrives on values such as truth-seeking, speed, and accountability, shaping our collaborative and innovative environment. We prioritize integrity and impact, encouraging curiosity and independent thinking. If you are passionate about tackling challenges, driven by innovation, and eager to enhance your intelligence alongside a team of brilliant minds, Intropic is the perfect place for you to bring your ideas to life.Who We Look ForAs a dynamic fintech start-up with a successful product lineup, we are on the brink of launching our next groundbreaking initiative. We seek individuals who excel at solving complex, open-ended problems across various domains; our engineers are expected to engage in more than just routine tasks. A typical week might involve debugging Python code, implementing infrastructure changes, engaging with early adopters, and collaborating on strategic planning with team leads. We value talent over traditional resumes; if you are interested, we would be thrilled to hear from you!
Are you passionate about leveraging quantitative analysis to drive innovative solutions? As a Quantitative Developer at Intropic, you will play a pivotal role in developing and implementing cutting-edge quantitative models that enhance our services. You will collaborate with a dynamic team of experts, utilizing your analytical skills to tackle complex challenges and contribute to the success of our projects.
About UsAt Intropic, we are at the forefront of financial intelligence, merging extensive market knowledge with cutting-edge AI technology. Established in the heart of London’s Canary Wharf, our mission is to convert intricate data into clear insights that drive actionable results. Our work culture is defined by principles of truth-seeking, speed, and accountability, which guide our daily collaboration and innovation. We prioritize fast-paced learning and uphold the highest standards of integrity and impact. Curiosity is central to our ethos—if you are motivated by challenges, inspired by innovation, and eager to enhance your intelligence alongside a team of brilliant minds, Intropic is the perfect place for your ideas to thrive.Who We Are Looking ForWe are in search of a dynamic and technically proficient Market Data Engineer who excels in constructing resilient, low-latency systems. If you possess a passion for financial markets and expertise in developing real-time data pipelines, we would be excited to connect with you.
Join Us at IntropicAt Intropic, we're pioneering the future of financial intelligence, merging deep market expertise with cutting-edge AI technology. Established in the financial hub of Canary Wharf, London, our mission is to distill complex data into clarity, precision, and actionable insights. Our culture is driven by values of truth-seeking, speed, and ownership, which shape our approach to building, learning, and collaboration. We prioritize integrity, impact, and a fast-paced environment where curiosity is not just welcomed, but vital. If you are eager for challenges, inspired by innovation, and ready to elevate your intelligence alongside a team of extraordinary minds, Intropic is the place where your ideas can flourish.Who We Are Looking ForAs a thriving fintech start-up with a proven range of products, we are now on a mission to create the next groundbreaking solution. We seek individuals who excel in tackling open-ended challenges across various disciplines. Our engineers engage in more than just standard tasks; your role may involve debugging Python, deploying infrastructure updates, engaging with product early adopters, and strategizing with team leaders. We value individuals over resumes; if this sounds like you, we would be excited to connect!
We are seeking a driven and innovative Quantitative Developer who is enthusiastic about leveraging financial data to create impactful products for traders and researchers. At Intropic, you'll become an integral part of a dynamic fintech startup, where engineers tackle challenging, open-ended problems spanning research, data, and product development — we pride ourselves on our proactive approach, rather than just responding to JIRA tickets.In a typical week, you will engage in a variety of tasks including Python and SQL development, implementing infrastructure changes, enhancing features of financial data products, collaborating on strategic planning with team leads, and attending client meetings to communicate your work and gather valuable feedback. We are looking for someone who enjoys delivering production-grade code, thrives in uncertain environments, works closely with analysts and product teams, and takes pride in maintaining clean, well-tested systems that support actual trading and research workflows.At Intropic, we prioritize hiring the right individual over just a polished CV. If you are passionate about taking full ownership of projects and want to influence both product and research trajectories, we invite you to apply. This is a full-time position expected to commence in the first half of 2026.
Join intropic as a Quantrepreneur in Engineering, where you will have the opportunity to innovate and shape the future of technology. As part of our dynamic team, you will engage in pioneering projects that challenge the status quo and push the boundaries of engineering.
Are you passionate about research and data analysis? At intropic, we are looking for a dedicated Research Analyst (Index) to join our team in London. In this role, you will be responsible for analyzing market trends and contributing to our indexing projects that drive strategic insights for our clients.
About UsAt Intropic, a burgeoning start-up backed by prominent venture capital, we are passionate about harnessing information to empower individuals and fuel innovation. As we embark on our journey in the information economy, our cutting-edge suite of data processing software is set to revolutionize decision-making processes across various sectors, starting with finance and capital markets. Discover our story and vision in a spotlight on Intropic here. Join us in unlocking the immense potential of information.What We're Looking ForWe seek dynamic individuals who possess robust technical and analytical capabilities, coupled with an entrepreneurial mindset and a desire to make a significant impact. Our 2026 internship program offers a unique opportunity for innovative thinkers and problem solvers to engage across diverse disciplines. If you have founded your own venture, developed a product from inception, or spearheaded a notable project during your academic journey, we would love to hear from you!
Are you a dynamic individual with a passion for entrepreneurship and business growth? At intropic, we're seeking a Quantrepreneur in Business Development to join our innovative team in London. In this role, you will harness your entrepreneurial spirit to identify and pursue new business opportunities, forge strategic partnerships, and drive growth initiatives that will shape the future of our company.
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 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.
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
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 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.
Mar 27, 2025
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