Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Experience Level
Experience
Qualifications
Your Key Skills and Capabilities:· Experience in implementing cloud-native data platforms· Proficient in engineering scalable and reliable data pipelines· Solid understanding of distributed computing using Spark· Familiarity with cloud architecture principles and best practices· Hands-on experience in designing, deploying, and managing cloud resources· Strong skills in Python and SQL· Experience working in agile environments· Knowledge of cloud automation and orchestration tools such as CloudFormation or Terraform· Ability to monitor and tune performance of cloud-based applications and servicesNice to haves: (MLOps):Model Deployment & Serving – Experience in deploying and managing ML models using platforms like MLflow, Azure ML, SageMaker, or similar technologies, ensuring scalability and performance. Monitoring & Retraining – Ability to establish model drift detection, performance monitoring, and automated retraining processes.
About the job
About The Dot Collective
At 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 You
Are 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.
About thedotcollective
The Dot Collective is a modern consultancy that excels in leveraging engineering principles to empower teams and individuals, driving impactful results across various sectors in the UK and EU.
Join Abound, a forward-thinking company dedicated to leveraging data to drive innovative solutions. As a Data Scientist, you will play a crucial role in analyzing complex datasets, developing predictive models, and transforming data into actionable insights. Collaborate with cross-functional teams to enhance our products and services, ensuring that data-driv…
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 Abound Abound is reshaping consumer lending in the UK and beyond. Using AI and Open Banking data, the company offers fair, accessible personal finance options to a wider range of people. Instead of relying only on credit scores, Abound reviews each customer’s full financial picture, including spending habits and repayment ability, to make lending decisions. So far, Abound has issued over £1.3bn in loans directly to consumers. Credit performance stands out: for every 10 defaults expected by the industry, Abound sees only 3. The company reached profitability just 2.5 years after launch and is now recognized among Europe’s fastest-growing fintechs by Sifted and CNBC. With support from top investors, including Citi, GSR Ventures, and Deutsche Bank, Abound has secured over £2bn in backing. The team is expanding into new markets and developing new products. Abound values people who want to learn, take initiative, and grow as the company grows. Role Overview: Financial Accountant (London) The Financial Accountant will help shape and strengthen Abound’s finance operations. This is a hands-on role at the center of a growing fintech, managing essential accounting processes and improving systems to support rapid growth while maintaining strong controls. The position works closely with teams across the business to deliver accurate, scalable financial reporting that supports sound decision-making. This role is a key part of the Finance Team. For someone eager to develop, it offers a clear path to broaden skills, take on more responsibility, and move into senior or strategic positions at Abound. At Abound, finance is about more than looking back, it’s about enabling better decisions for the future.
About AboundAt Abound, we are revolutionizing consumer lending within the UK and beyond. Through cutting-edge AI technology and Open Banking data, we empower more individuals to access fair and affordable personal finance. Unlike conventional lenders that primarily focus on credit scores, we assess the complete financial landscape—considering spending habits and repayment capabilities—to gain a profound and accurate insight into each customer's unique financial profile.Our approach has proven successful on a large scale. We have successfully disbursed over £1.3bn in loans directly to customers while achieving exceptional credit performance. For every 10 defaults anticipated by the industry, we only experience 3. Remarkably, we attained profitability just 2.5 years post-launch.With over £2bn+ in backing from leading investors including Citi, GSR Ventures, and Deutsche Bank, Abound is recognized as one of Europe’s fastest-growing fintech companies (Sifted, CNBC). As we venture into new markets and expand our product lines, we seek driven individuals eager to learn quickly, take initiative, and grow alongside us.About the RoleWe are committed to enhancing access to affordable credit by launching innovative credit products that truly make a difference. Our rapid product launches often involve collaboration with other leading fintech and consumer/e-commerce companies to provide affordable credit at pivotal moments in the customer journey. We thrive in a dynamic and highly regulated environment where products must function seamlessly from day one—not only from a technical standpoint but also in terms of operational efficiency for our customers.As a Product Associate, you will be integral to ensuring that our products are fully operational and ready for launch at scale. While collaborating closely with Product Managers on product discovery and delivery, your key impact will stem from supporting Operations teams, guaranteeing that customer support, collections, and complaints teams can effectively assist customers from the outset.This role is tailored for top-tier STEM or Economics graduates who aspire to deepen their understanding of real-world product functionality, embrace early responsibility, and advance towards a Product Manager position in a rapidly growing, industry-leading fintech.What You’ll Be DoingLaunch Readiness & Operational SupportCollaborate closely with Operations teams (customer support, collections, complaints) to ensure that new products, features, or customer journeys receive comprehensive support at launch.
About AboundAt abound, we are revolutionizing the landscape of consumer lending across the UK and beyond. By leveraging cutting-edge AI and Open Banking data, we strive to make fair and affordable personal finance accessible to a wider audience. Unlike traditional lenders who heavily depend on credit scores, we analyze the complete financial picture of our customers—considering their spending patterns and repayment capabilities—to build a nuanced understanding of their unique financial situations.Our approach has proven successful at scale. We have facilitated over £1.3 billion in loans directly to customers while achieving exceptional credit performance—for every 10 defaults anticipated by the industry, we experience only 3. Remarkably, we reached profitability just 2.5 years post-launch.With backing from over £2 billion from prestigious investors including Citi, GSR Ventures, and Deutsche Bank, we are recognized as one of Europe’s fastest-growing fintech companies (Sifted, CNBC). As we expand into new markets and product lines, we are on the lookout for driven individuals eager to learn, take ownership, and grow alongside us.We are seeking a talented Senior Python Engineer to join our engineering team. In this role, you will collaborate closely with our Finance team to design and implement automation solutions that enhance our core financial operations. You will be responsible for translating business needs into robust, maintainable systems that increase accuracy and efficiency across critical workflows.This position requires a candidate who blends strong technical acumen with a desire to understand the business intricacies. You will be empowered to independently scope and execute changes, manage stakeholder expectations, and ensure every enhancement is durable. Your contributions will play a vital role in maintaining the smooth and scalable operation of our financial processes.We value engineers who take initiative, enjoy tackling complex challenges, and excel at clarifying ambiguous requirements. You will thrive in our environment if you are motivated by creating systems that deliver tangible business impact, can articulate technical concepts to non-technical partners, and take pride in producing high-quality, well-designed code.At abound, you will immerse yourself in a culture that champions autonomy, curiosity, and continuous improvement. You will engage with a modern Python-based tech stack, gain in-depth insights into how financial operations function in a rapidly growing lending business, and have the opportunity to enact significant technical changes in collaboration with experienced stakeholders.
We are looking for a Senior Staff Python Software Engineer to join our dynamic team at abound. In this role, you'll leverage your expertise in Python to design, develop, and maintain high-quality software solutions that meet our clients' needs. You'll work closely with cross-functional teams to deliver innovative products that drive our mission forward.
Join abound as a Lead Software Engineer and take your career to the next level! In this pivotal role, you will spearhead innovative software solutions that drive our business forward. Collaborate with a talented team of engineers and play a key role in shaping the future of our technology stack.We are looking for passionate individuals who are eager to tackle complex challenges and deliver high-quality software. Your leadership will be crucial in mentoring junior developers and setting best practices in code quality, testing, and deployment.
About the Role Abound is hiring a Senior Full Stack Engineer in London. This position focuses on building and improving web applications, working across both front-end and back-end systems. The team values practical solutions and a collaborative approach. What You Will Do Design and implement scalable web applications Work with cross-functional teams to deliver new features Contribute to both front-end and back-end development Help create a strong user experience through thoughtful engineering What We’re Looking For Solid experience with both front-end and back-end technologies Comfort working closely with colleagues from different disciplines Ability to deliver reliable, maintainable code
About the Role abound is hiring an Underwriting Team Lead in London. This role guides underwriting practices and manages a skilled team. The Team Lead oversees daily underwriting operations, maintains compliance with industry standards, and encourages a cooperative approach to achieve team goals.
Join abound as a Communications Lead, where you will spearhead our communication strategies and drive engagement across multiple channels. You will collaborate with various teams to develop impactful messaging that resonates with our audience and enhances our brand presence.
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.
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
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.
Join Eucalyptus as a Data Engineer and play a pivotal role in transforming data into actionable insights. We are looking for innovative thinkers who are passionate about data architecture and analytics. You will work closely with cross-functional teams to design, build, and maintain scalable data pipelines that drive strategic business decisions.
About the RoleJane Street is seeking a skilled Data Engineer to enhance our understanding, management, and dissemination of data that informs our trading strategies. At Jane Street, the ability to comprehend and manipulate data accurately is fundamental to our operations.In this role, you will utilize a combination of proprietary and open-source tools to analyze diverse datasets, identifying anomalies, ensuring consistency in formats and symbologies, automating ETL processes, and ultimately simplifying the process for our traders to derive insightful conclusions.We are looking for someone who is passionate about diving deep into data and articulating findings to various stakeholders, collaborating closely with traders and software engineers.While familiarity with financial data is beneficial, we do not require a financial background. We are eager to hire talented engineers and provide the necessary training.
