Data Engineer at dev2 | London

Role Overview Utility Warehouse is looking for a Data Engineer in London to help turn raw data into useful insights that support better services and smarter operations. This role focuses on building and maintaining scalable data pipelines, with a strong emphasis on data integrity and availability. What You Will Do Design, develop, and maintain data pipelines using modern technologies Ensure reliable data flow and storage across systems Support the team by transforming data into clear, actionable insights Contribute to ongoing improvements in data quality and accessibility Location This position is based in London.

About the Role Utility Warehouse is looking for a Data Scientist to join the team in London. This position focuses on analyzing large and varied data sets to uncover insights that support business decisions. The Data Scientist will work closely with colleagues from different departments to build predictive models, run experiments, and strengthen the company’s analytics practice. What You Will Do Analyze complex data sets to identify trends and patterns Develop and refine predictive models Collaborate with teams across the business to support data-driven projects Design and conduct experiments to test hypotheses and improve outcomes Help advance Utility Warehouse’s overall data analytics capabilities Location This role is based in London.

Role overview Utility Warehouse is looking for a Data Analyst based in London. This role focuses on turning large datasets into clear, practical insights for the business. Expect to work hands-on with data, build reports, and present findings that help shape company decisions. What you will do Analyze complex datasets to uncover trends and patterns Create detailed reports for various teams Deliver recommendations based on your analysis to support business goals

Role Overview Utility Warehouse is looking for a Data Engineering Manager to shape and execute its data strategy in London. This role leads a team of data engineers focused on building and maintaining data pipelines that power analytics and business intelligence across the company. What You Will Do Manage and mentor a team of data engineers, supporting their growth and performance Design and implement data pipelines to meet analytics and reporting needs Work with cross-functional partners to understand data requirements and deliver solutions Guide the team through technical challenges in data architecture and engineering Help turn data into actionable insights that support business growth What We’re Looking For Experience leading data engineering teams Strong background in data architecture and pipeline development Ability to collaborate across teams and communicate technical concepts clearly Interest in using data to support decision-making and business outcomes This position is based in London.

Role Overview Utility Warehouse is hiring a Data Governance Lead in London. This role shapes and manages the company’s data governance strategies. The position focuses on safeguarding data integrity, privacy, and compliance throughout the organization. What You Will Do Develop and implement data governance frameworks and policies Work with teams across the business to define and maintain standards for data management Promote strong data stewardship and support a culture that values responsible data use Monitor compliance with data privacy and regulatory requirements Collaboration This role partners with multiple departments to set clear data practices and ensure consistent application across the company.

Role Overview Utility Warehouse is looking for a Data Architect to help define and build the company’s data strategy and infrastructure. This role focuses on designing and implementing data management solutions that improve operational efficiency and enable data-driven decisions throughout the business. What You Will Do Design and implement data management systems to support business needs Work with teams across the company to ensure data is accurate, secure, and accessible Support data-driven decision-making by building reliable data infrastructure Location This position is based in London.

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.

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.

Join Wayve as a Warehouse Specialist and play a crucial role in our logistics team, ensuring the efficient management of our warehouse operations. We are looking for a dedicated professional who thrives in a fast-paced environment and is passionate about optimizing processes. You will be responsible for inventory management, order fulfillment, and maintaining a safe and organized workspace.

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.

Role overview Utility Warehouse is looking for a Data Analyst to join its London team, focusing on projects in the energy sector. This role supports decision-making and helps improve company operations by turning data into practical insights. Collaboration with teams across the business is central, with the goal of enhancing service for Utility Warehouse customers. What you will do Analyze and interpret complex data sets related to energy operations and trends Partner with colleagues in various departments to understand business challenges and requirements Present findings and actionable insights that inform strategic decisions Contribute to operational improvements through data-driven recommendations

Role overview Utility Warehouse seeks a Data Analyst for its Customer Operations team in London. The position focuses on examining customer data to reveal insights and help shape how the company delivers service. What you will do Study customer data to spot trends and highlight areas for operational improvement Create reports and insights that guide business choices Collaborate with teams across the company to build solutions based on data and customer needs Contribute to projects that aim to boost efficiency and improve the customer experience

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

Role overview Utility Warehouse is hiring a Senior Machine Learning Engineer in London. This role focuses on building and deploying machine learning models that support business goals and improve customer interactions. The position involves close collaboration with colleagues from different teams to deliver practical solutions. What you will do Design, develop, and implement machine learning algorithms Analyze data to identify patterns and opportunities for automation Work with software engineers and other stakeholders to integrate models into production systems Support decision-making by delivering insights from data-driven models

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

Join Deel as a Warehouse Associate specializing in IT equipment. In this role, you will be responsible for the efficient handling, storage, and distribution of IT products within our London facility. Your attention to detail and commitment to quality will ensure that our operations run smoothly and that our clients receive their orders on time.

Join Aristinas, an innovative startup in the e-commerce sector, as a Warehouse Packer! We are dedicated to providing a unique online shopping experience tailored for small businesses.Your role will involve efficiently picking and packing luxury items with precision, ensuring every package meets our high standards for quality. You will verify item details before dispatch, contributing to our mission of delivering peace of mind to customers around the globe. This is a fantastic opportunity to be part of a growing team!Work schedule is Monday to Friday, from 10 AM to 6 PM, with overtime available upon request. After three months, a permanent contract will be offered, along with a monthly performance bonus between £100 and £200.