Senior Data Engineer

Who are we? At Ki Insurance, we’re making headlines by insuring everything from space shuttles to world tours, wind farms, and even footballers' legs.Our mission is clear: to digitally transform and revolutionize a 335-year-old insurance market. Collaborating with Google and UCL, we’ve developed a platform that harnesses algorithms, machine learning, and large language models to provide insurance brokers with quotes in seconds instead of days.As the largest global algorithmic insurance carrier, Ki is the fastest growing syndicate in the Lloyd's of London market, achieving an unprecedented $100 million in profit within just three years.Our diverse teams work collaboratively in an agile, cross-functional environment to create the best possible experience for our customers. With ambitious goals ahead, we’re seeking brilliant minds to challenge the status quo and help us reach new heights.What will you do? Collaborate with business teams, data scientists, and engineers to design, build, optimize, and maintain production-grade data pipelines and reporting solutions using GCP and BigQuery.Engage with finance, actuaries, and data experts to maximize the potential of new internal and external data sources.Partner with our delivery teams at EY/IBM to ensure the robustness of data model design and engineering that supports our growth ambitions.Take ownership of data models, reporting, and integrations/pipelines as part of our Business As Usual (BAU) operations.Develop frameworks, infrastructure, and systems to manage and govern Ki’s data assets.Create comprehensive documentation to facilitate ongoing support and maintenance of data structures, schemas, and reporting.Collaborate with the broader engineering community to enhance our data and MLOps capabilities.Ensure data quality, governance, and compliance with both internal and external standards.Monitor and troubleshoot data pipeline issues to guarantee reliability and accuracy.

About UsAt Ki Insurance, we are at the forefront of innovation in the insurance industry. With a diverse range of clients from space shuttles to world tours, we ensure coverage for extraordinary ventures. Our mission is to digitally disrupt a 335-year-old market by leveraging advanced technologies.Partnering with Google and UCL, we have developed a cutting-edge platform that utilizes algorithms, machine learning, and large language models to provide insurance brokers with quotes in a matter of seconds, rather than days.As the largest global algorithmic insurance carrier and the fastest-growing syndicate in the Lloyd's of London market, Ki has made history by achieving $100 million in profit within just three years. Our teams, comprised of individuals from various backgrounds, collaborate in an agile and cross-functional environment to enhance customer experience and challenge the status quo.Your RoleIn this pivotal role, you will support our middle and back-office operations, crucial for our continued success. As part of a multi-disciplinary team, you will collaborate with software and data engineers, full-stack developers, platform operations experts, algorithm researchers, and data scientists to deliver impactful solutions. Your primary focus will be on designing and developing sophisticated data processing modules and reporting using BigQuery and Tableau.Key Responsibilities: Collaborate with business teams in finance and actuarial science, along with data scientists and engineers, to design, build, optimize, and maintain production-grade data pipelines and reporting from our internal Data Warehouse solution based on GCP/BigQuery.Engage with various stakeholders to identify opportunities for leveraging new internal and external data sources.Partner with EY and IBM to ensure the robustness of data model design and engineering, supporting our ambitious growth and scalability plans.Oversee business-as-usual (BAU) management of data models, reporting, and integration pipelines.Establish frameworks, infrastructure, and systems for effective management and governance of Ki’s data assets.Create detailed documentation to facilitate ongoing BAU support and maintenance of data structures, schemas, and reporting.Collaborate with the broader engineering community to enhance our data and MLOps capabilities.Ensure compliance with internal and external data quality and governance standards.Monitor and resolve data pipeline issues to maintain reliability and accuracy.

Valtech partners with well-known brands to design and deliver customer experiences. The company emphasizes growth, international opportunities, and a culture shaped by clear values. The role The Conversational Analytics Engineer position centers on developing digital solutions that improve how customers interact with businesses. This role involves exploring new approaches, questioning established methods, and helping to create customer experiences that can influence entire industries. What to expect Work on projects that focus on conversational analytics and digital innovation Contribute to solutions that aim to improve customer engagement Participate in a team culture that values learning and professional growth Location This position is based in London.

Join Devoteam as a Lead Consultant specializing in Google Cloud Platform (GCP) and Data & AI/ML pre-sales architecture. In this pivotal role, you will leverage your expertise to drive innovative solutions that empower our clients to harness the power of data and artificial intelligence.Your responsibilities will include collaborating with sales teams to identify client needs, designing tailored solutions, and presenting compelling proposals that highlight our capabilities in GCP and AI/ML technologies.

About XYZ RealityXYZ Reality is an innovative, award-winning Series-A startup on the cusp of our next funding round. Our goal is to enhance our platform by improving its features, performance, and scalability, all while transforming the construction industry.As a dynamic multi-disciplinary organization, we operate across various fields such as cloud development, data governance, data processing pipelines, electronics, embedded software/hardware, mechanical design/manufacturing, AI & computer vision, and data science, all contributing to the efficacy of our Building Information Modeling (BIM) Platform.To help propel our mission, we are in search of a Senior Data Engineer who possesses extensive experience in data modeling, database management, and data pipeline development. The ideal candidate will play a pivotal role in maintaining our existing tech stack and developing new features with an emphasis on performance and scalability. Collaboration with our API/backend development and data pipeline teams will be crucial to create robust and efficient solutions.

Join Pace Consulting as a GCP Architect, where you will lead the design and implementation of innovative cloud solutions on the Google Cloud Platform. You will collaborate with cross-functional teams to drive cloud transformation initiatives, ensuring that our clients achieve their business objectives efficiently and effectively.

With Intelligence, now a part of S&P Global, is at the forefront of revolutionizing data offerings for participants in alternatives and private markets. As a member of a global organization boasting over 35,000 employees, we possess the unique ability to understand intricate nuances while maintaining a wide-ranging perspective. We empower our clients to assess new investment opportunities within the capital and commodities markets, navigate the energy sector's expansion, harness the acceleration of artificial intelligence, and adapt to the evolving landscape of public and private markets. Our mission is to advance essential intelligence.We are embarking on an exciting phase of growth, with significant funding aimed at transforming us into a pioneering, data-centric platform that places information, automation, and insights at its core.To meet the escalating demands of a dynamic, data-driven organization, we are expanding our data capabilities. This role is an outstanding opportunity for an enthusiastic individual ready to make a tangible impact while engaging with cutting-edge tools and contributing to our data strategy across products and teams.Your ResponsibilitiesDesign, develop, and maintain scalable data architectures and ETL pipelines.Build and manage data models and data warehouse solutions utilizing Airflow, dbt, and Redshift.Write clean, efficient Python and SQL code for data processing and transformation.Integrate data from internal and third-party APIs and services.Optimize data pipelines for performance, scalability, and reliability.Collaborate with data scientists, analysts, and engineering teams to fulfill business requirements.Implement and uphold data security and compliance standards.Utilize version control systems (e.g., Git) to manage and maintain project codebases.Contribute to the ongoing enhancement of data processes and tooling across the organization.

Join our team as a Senior Data Engineer specializing in AWS!Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentAbout the RoleWe are seeking a talented Senior Data Engineer with expertise in AWS to be a key player in our dynamic team of engineering professionals. You will spearhead the design, construction, and deployment of innovative cloud-based data pipelines that drive transformative outcomes for Tier 1 financial services clients. Your contributions will significantly enhance data ingestion, transformation, and delivery at scale across the financial services landscape.Your ResponsibilitiesDesign and implement end-to-end data pipelines using AWS-native tools and cutting-edge data architectures.Collaborate closely with clients to gather requirements, craft tailored solutions, and deploy production-ready systems.Utilize AWS Well-Architected Principles to ensure your solutions are scalable, secure, and resilient.Lead the development of robust, thoroughly tested, and fault-tolerant data engineering solutions.Mentor junior engineers, fostering a culture of knowledge sharing and continuous learning within the team.What We Seek

Join Us in Revolutionizing Compensation.At Ravio, we recognize that fair compensation is crucial to both individual success and organizational growth. With a mission to transform how companies manage employee pay, we leverage advanced data solutions to enable our clients to attract and retain top talent. Our innovative real-time data platform redefines compensation management, offering insights into salary, equity, and benefits, ensuring everyone receives their rightful earnings regardless of their background.As a rapidly growing company, Ravio has positioned itself as a leader in Europe with over 1,200 clients, and we are on a journey to become the global authority in compensation data and tools. Joining our ambitious team provides an unparalleled opportunity to contribute to a product that is shaping the future of pay.We are currently seeking a Senior Data Engineer to enhance our data infrastructure, drive innovation, and contribute to our mission. If you’re excited about the prospect of scaling a startup into a global powerhouse, we want to hear from you!

Join our innovative team at Synthesia as a Senior Data Engineer, where you will play a pivotal role in shaping the future of AI-driven video synthesis. As a key member of our data engineering team, you will design, implement, and maintain robust data pipelines that enable our advanced machine learning models to thrive. Your expertise will help us harness the power of data, ensuring high availability and performance. Collaborate with cross-functional teams to transform raw data into actionable insights that drive our product's success and enhance user experiences.

Join physicsx as a Senior Simulation Data Engineer, where you'll play a critical role in developing and optimizing simulation data workflows. You will collaborate closely with cross-functional teams to enhance our simulation capabilities and ensure data integrity. Your expertise will be instrumental in driving innovation and improving our processes.

Recursion Pharmaceuticals brings together technology and biology to advance drug discovery. The company’s Recursion Operating System combines machine learning, large-scale experiments, and a proprietary dataset that spans biological, chemical, and patient-related data. Each week, the team conducts millions of wet lab experiments and uses a supercomputing environment to find new connections in biology and chemistry. What you will do Develop, scale, and manage the core data platform. This includes building, operating, and optimizing systems that support querying and exploration across Recursion’s vast datasets, such as a chemistry library with billions of compounds, petabytes of microscopy images, and diverse assay results. Help make complex datasets accessible for scientific teams. Work closely with biologists, chemists, and data scientists to ensure data from different biological models and treatments can be explored and queried, even for new and evolving research questions. Mentor and support colleagues by sharing technical expertise and experience, helping others grow and increasing impact across teams. The team This role joins the Data Lake team, responsible for building and maintaining Recursion’s Data Lake and Data Lakehouse. The group manages both relational and object storage, ensuring all data is discoverable, queryable, and connected. As Recursion grows, the team integrates new data types under the guiding principle that all data flows to the Data Lake. Location London, England; Milton Park, England

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...

Join Capco as a Senior Data Engineer specializing in Google Cloud Platform (GCP) and help shape the future of financial services through innovative cloud-based data solutions. In this hybrid role based in London, you'll collaborate with Tier 1 financial institutions, leveraging your expertise to design and implement robust, scalable data architectures. This position is perfect for engineers who excel in fast-paced environments and are passionate about data-driven transformation.

Who We Are at YapilyOur Mission: Transforming the way the world engages with value.Our Vision: A seamless world of financial transactions.Our Purpose: To empower everyone to access and transfer value.At Yapily, we are developing a robust, scalable, and secure open banking ecosystem that is redefining global value interaction.Our platform supports prominent organizations like Adyen, Intuit QuickBooks, and Google, offering services such as payment initiation, bank data access, and ready-to-use products that empower businesses to innovate rapidly and expand the possibilities of financial technology.As pioneers in open banking, we are committed to shaping the future of this dynamic industry through unmatched expertise and an unwavering dedication to innovation.Join Us as a Senior DevSecOps EngineerIn this pivotal role, you will play a crucial part in embedding security throughout our Software Development Lifecycle (SDLC). You will be part of a high-impact team tasked with securing our highly available, multi-tenant platform primarily hosted on GCP and Kubernetes.We are looking for a proactive, automation-driven security approach. Your responsibility will be to establish a solid security foundation, automate compliance checks, and ensure we surpass the security standards required in regulated financial services.Your ResponsibilitiesManage Security Tooling: Select, integrate, and maintain security tools within our environments and CI/CD pipelines.Establish Security Guardrails: Design, implement, and enforce automated security policies across our cloud estate and CI/CD processes.Focus on GCP Security: Enhance and secure our Google Cloud Platform environment, including IAM policies, network security, and resource configuration.Automate Compliance: Collaborate with compliance and governance teams to translate requirements into automated, verifiable infrastructure and deployment practices.Oversee Vulnerability & Patch Management: Automate and manage the complete process for identifying and addressing security vulnerabilities within infrastructure, applications, and third-party dependencies.Empower Developers: Create and maintain

Join a Team Where Your Work Truly Matters.Advance your career with Qodea, where innovation is not just a catchphrase—it's part of our core identity.As a leading global technology group, we are dedicated to shaping the future, providing exceptional professionals with opportunities for high-impact work that shapes careers. By joining us, you are not merely undertaking projects; you are tackling challenges that have yet to be solved.Our exclusive clientele includes global leaders such as Google, Snap, Diageo, PayPal, and Jaguar Land Rover—companies that turn to us when deadlines loom, when others have faltered, and when the solutions must succeed.Say goodbye to mundane consultancy. Here, you will work at the intersection of technology, design, and human behavior to deliver rapid and meaningful outcomes. This is work that creates an impact—work you will proudly share with your peers.Qodea is designed for the future, fostering an environment where your skills will continuously evolve at the cutting edge of innovation and AI, ensuring your growth and development.We are in search of a Senior Data Engineer who will deliver outstanding solutions that exceed our clients' expectations by leveraging state-of-the-art tools and technologies.We seek individuals who exemplify:Innovation to tackle the most challenging problems.Accountability for every outcome.Integrity in all endeavors.Your RoleThe primary objective of this role is to design, develop, and manage scalable data pipelines and infrastructure to enable the effective processing and analysis of extensive, complex data sets. This position is tailored for impact, and we believe our best outcomes arise through collaboration. While we have a flexible working model, we anticipate that you will spend time on-site for collaboration sessions, client meetings, and internal workshops.Key ResponsibilitiesDevelop and maintain automated data processing pipelines using Google Cloud:Design, construct, and sustain data pipelines for data ingestion, ETL, and storage.Establish and uphold automated data pipelines to monitor data quality and resolve issues.Implement and maintain databases and data storage solutions:Stay informed about emerging trends and technologies in big data and data engineering.Ensure data quality, accuracy, and completeness.Implement and enforce data governance policies and procedures to uphold data quality and precision:Collaborate with data scientists and analysts to design and optimize data models for analytics and reporting.Develop and maintain data models for analytical and reporting purposes.Monitor and manage data infrastructure to ensure availability and performance.

Senior Data EngineerLocation: London (Hybrid)About SwapSwap serves as the foundation for modern agentic commerce, being the only AI-native platform that seamlessly integrates backend operations with a progressive storefront experience.Designed for brands aiming to sell anything, anywhere, Swap centralizes global operations, fuels intelligent workflows, and enables margin-preserving decisions through real-time data and capabilities. Our product suite encompasses cross-border transactions, tax solutions, returns management, demand planning, and our cutting-edge agentic storefront, empowering merchants with full transparency and actionable insights.At Swap, we are cultivating a culture that emphasizes clarity, creativity, and shared ownership as we revolutionize the landscape of global commerce.About the RoleWe are seeking a dedicated and detail-oriented Senior Data Engineer to join our platform team as we swiftly advance our technology stack for a new, data-driven era at Swap. In this role, you will lead transformative initiatives by developing world-class data systems for the entire organization, while also contributing to the platform’s vision and advocating for internal best practices.This position calls for a knowledgeable, hands-on, and enthusiastic team player who is eager to accelerate and scale a greenfield project. If you thrive in a fast-paced, collaborative environment where your contributions can make a significant impact, we want to hear from you!ResponsibilitiesAPI Strategy & Development: Lead the strategy and implementation of our API layer to facilitate product access to essential data.Platform Technical Vision: Shape and influence the technical direction of Swap’s data platform to ensure readiness for future business growth.Data Pipeline Development: Manage our replication pipelines, ensuring optimal observability, latency, and alerting capabilities.Data Quality & Governance: Champion best practices to ensure our data is reliable and trustworthy as we scale, delivering top-tier products for Swap.What We Are Looking For5+ years of experience as a data engineer in customer-centric product environments.Proven proficiency in Python for data pipeline creation, orchestration, and API development.

Join Us in Transforming the Creator Economy with AIFanvue is rapidly emerging as one of the leading platforms for creator monetization on a global scale. Our AI-driven, creator-centric platform empowers creators to connect with their audiences, engage meaningfully, and generate income directly at scale. Following our successful Series A funding, Fanvue has achieved over $100M in annual recurring revenue, with impressive triple-digit growth year-over-year, supporting countless creators and millions of fans around the world.As we continue to expand, the significance of data within our organization is becoming increasingly vital across various functions including product development, growth strategies, finance, and risk management. This position is pivotal in establishing a robust data foundation that the entire company can rely on, facilitating quicker decision-making, sophisticated analytics, and scalable machine learning capabilities. The RoleWe are seeking a Senior Data Engineer to take charge of and enhance Fanvue’s essential data infrastructure.This is a crucial, high-impact role where you will stabilize data ingestion processes, enhance observability and governance, minimize manual tasks, and enable advanced analytics and machine learning workloads. Your contributions will be foundational in helping Fanvue thrive as a genuinely data-driven organization. ResponsibilitiesOversee and stabilize end-to-end data ingestion pipelines, including Change Data Capture (CDC) ingestion using Amazon DMSAddress schema drift challenges and automate column ingestion to eliminate manual re-sync effortsDevelop production-grade observability for data pipelines, dbt runs, and Athena performanceSet up monitoring and alerting frameworks to proactively identify data quality issues or pipeline failuresEnhance CI/CD workflows for data transformations, aiming to reduce PR build times and deployment complexitiesDesign and implement reusable ingestion frameworks for swift onboarding of new data sourcesEstablish robust data governance protocols, including dbt tests in production and scheduled full-refresh pipelinesFacilitate advanced analytics and ML infrastructure, including AWS SageMaker integration and on-demand analytics environmentsImplement fine-grained access controls (RBAC) to safeguard PII and sensitive data as the company scalesManage Infrastructure as Code for the data platform utilizing AWS CDK