Senior Data Engineer at Eucalyptus | London, UK

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 Synthesia, the leading AI video platform for businesses, utilized by over 90% of the Fortune 100 companies. Established in 2017 and headquartered in London, we have expanded our presence across Europe and the US.As AI transforms our work and personal lives, Synthesia is at the forefront of creating tools that elevate visual communication and foster enterprise skill development, enabling teams to enhance their performance and remain integral to thriving organizations.After a successful Series E funding round, raising $200 million, our company is valued at $4 billion, with total funding surpassing $530 million from esteemed investors like Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside founders and operators from Stripe, Datadog, Miro, and Webflow.About the RoleWe are looking for a dedicated Enterprise Account Executive to join our dynamic team in London. Reporting to one of our Regional Directors, you will be tasked with generating, nurturing, and closing opportunities within your assigned Enterprise accounts (1,000 to 10,000 employees). Your ability to convey value, inspire prospects, and confidently sell the Synthesia solution will be critical in this role. With ambitious revenue targets set for this year, your contributions will be pivotal in driving the success of our Enterprise team. We are committed to building a world-class Go-to-Market organization where talented and driven sales professionals can excel. If you're eager to make a significant impact and seek new opportunities, we want to hear from you.Your ResponsibilitiesManage the complete sales cycle within our Enterprise segment (1,000–10,000 employees).Acquire new clients and expand existing accounts through upselling and cross-selling initiatives.Take full ownership of your sales pipeline, develop comprehensive account plans, and identify key targets within your accounts.Utilize the MEDDPICC framework to qualify opportunities and assess risks at each stage of the sales funnel.Oversee all sales activities using Salesforce (CRM).We Are Looking For Candidates Who Have...Demonstrable experience in landing and expanding accounts within organizations of 1,000 to 10,000 employees, with a proven record as a high performer.A proactive growth mindset, strong outbound prospecting skills, and proficiency in delivering value-driven product demonstrations.The capability to identify and address customer needs, providing tailored solutions that drive success.

Synthesia builds AI video technology for business communication. Founded in 2017 and headquartered in London, Synthesia serves clients across Europe and the US. Over 90% of Fortune 100 companies use the platform. The company focuses on improving visual communication and supporting enterprise skill development through AI. Recent Series E funding brought in $200 million, raising total investment to over $530 million and valuing the company at $4 billion. Investors include Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, Evantic Capital, and founders from Stripe, Datadog, Miro, and Webflow. Role Overview The Culture Editor role centers on shaping and amplifying Synthesia’s cultural narrative around AI and human creativity. This position is not about day-to-day social media management. Instead, it focuses on strategic storytelling and ensuring Synthesia’s voice is heard in the broader conversation about AI’s impact on work and creativity. The Culture Editor will define and elevate Synthesia’s presence across platforms such as LinkedIn, X, Instagram, TikTok, and YouTube. The work involves more than posting content; it requires thoughtful curation and a strong sense of cultural trends. Collaboration with experienced brand builders is central to the role. The Culture Editor will help evolve Synthesia’s voice and contribute insights that shape how the company engages with audiences online. The Team This position reports to the Head of Social Media. The team includes six people: videographers, editors, and creators producing content for multiple formats and channels. The Culture Editor’s expertise will help guide how content is distributed and ensure that key messages reach the right audiences. What You Will Do Oversee Synthesia’s engagement across LinkedIn, X, Instagram, TikTok, and YouTube. Shape and refine the social narrative around AI, creativity, and the future of work.

Join Synthesia, the world's foremost AI video platform that empowers businesses, serving over 90% of the Fortune 100. Established in 2017 and headquartered in London, we boast teams across Europe and the US, dedicated to revolutionizing visual communication and enterprise skill development.As AI reshapes our daily lives and work, our innovative products facilitate better work processes, keeping individuals at the core of thriving organizations.With our recent Series E funding of $200 million, we are now valued at $4 billion, having raised over $530 million from top-tier investors, including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, along with the founders and operators of Stripe, Datadog, Miro, and Webflow.Step into the Video-First Era!From daily PowerPoint presentations to cinematic productions, AI is set to transform how we create and consume content. The modern audience prefers watching and listening over reading, both in personal and professional settings. If this resonates with you, take a moment to view our brand video.Despite the strong preference for video, business communication and knowledge sharing remain text-heavy, primarily due to the complexities involved in high-quality video production—until now.Introducing SynthesiaWe are committed to making video accessible to everyone. Our AI-driven video communications platform streamlines the production process, enabling users of all skill levels to create, collaborate, and share high-quality videos effortlessly. Whether for essential employee training or marketing initiatives, Synthesia empowers large organizations to communicate and disseminate knowledge through video swiftly and effectively. We are trusted by renowned brands like Heineken, Zoom, Xerox, and McDonald’s. Check out success stories from satisfied customers and discover what over 1,200 reviewers say about us on G2. We are also recognized as one of the Top Startups to Bet Your Career On in 2025!In 2023, we proudly became one of only seven European companies to achieve unicorn status. In February 2024, G2 honored us as the fastest-growing company globally.

Synthesia develops AI-powered video technology for businesses, serving a global client base that includes more than 90% of the Fortune 100. Founded in 2017 and headquartered in London, the company operates with teams throughout Europe and the United States. With over $530 million in funding, including a recent $200 million Series E round that brought the company’s valuation to $4 billion, Synthesia is backed by investors such as Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, Evantic Capital, and the founders of Stripe, Datadog, Miro, and Webflow. Synthesia’s mission is to advance visual communication and workforce skill development through innovative AI products, helping organizations adapt and grow in a changing business landscape. Role overview The Product Manager, Analytics will play a central role in shaping how enterprise clients measure learning and development success. Many organizations struggle to assess workforce readiness, often relying on completion rates that reveal little about actual preparedness or program effectiveness. Synthesia is building solutions that go beyond engagement metrics, providing deeper insight into learner progress and achievement. This role focuses on turning foundational data into actionable analytics products. The Product Manager will work closely with engineering and design teams to define features and capabilities that help learning leaders and executives make informed decisions. Key responsibilities Own the analytics product, with an emphasis on tracking individual learner progress and delivering organizational insights. Partner with cross-functional teams to shape product features, user experience, and analytical requirements. Lead product strategy and execute the roadmap to expand measurement capabilities for enterprise learning programs. The challenge Large-scale readiness initiatives often produce limited data, typically just completion counts, leaving organizations unsure about true preparedness or where to intervene. Synthesia has the data needed to address this gap and seeks a Product Manager who can build tools that learning leaders and executives trust for actionable insights.

At Synthesia, the preeminent AI video platform for businesses, we empower over 90% of the Fortune 100 to enhance their visual communication. Established in 2017 and headquartered in London, our teams span Europe and the US, dedicated to reshaping how organizations communicate and develop skills.As AI redefines the workplace, we strive to create innovative solutions that keep people at the heart of successful enterprises.With our recent $200 million Series E funding round, we are now valued at $4 billion, with total funding exceeding $530 million from esteemed investors, including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, along with the founders and operators of Stripe, Datadog, Miro, and Webflow.

Join Synthesia, the world's premier AI video platform used by over 90% of the Fortune 100 companies. Since our inception in 2017, we have established our headquarters in London and expanded our reach across Europe and the United States.As artificial intelligence continues to revolutionize our daily lives and workplaces, Synthesia is at the forefront of developing innovative products that enhance visual communication and foster enterprise skill development, enabling people to excel and remain pivotal in thriving organizations.Following our recent Series E funding round, where we successfully raised $200 million, our company valuation has soared to $4 billion, with total funding surpassing $530 million from esteemed investors such as Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside founders and operators of leading firms like Stripe, Datadog, Miro, and Webflow.We are seeking a talented Senior Machine Learning Platform Engineer to become a vital part of our ML Platform team.In this role, you will be responsible for building and maintaining the systems that empower researchers and product teams to train, serve, and deploy generative models efficiently and reliably. Your responsibilities will span research infrastructure, production serving systems, internal tooling, and the platform interfaces that unify them. A key focus will be on enhancing the automation and agent-oriented capabilities of these systems, allowing workflows to be executed through dependable tools rather than manual processes.We are looking for a well-rounded engineer with a systems-oriented mindset:Someone who has experience in infrastructure, backend systems, and tooling, and has practical exposure to ML systems.This is not a conventional ML Engineer position. We seek individuals who are deeply invested in reliability, scalability, performance, and resource efficiency within complex production settings.This is a hands-on senior individual contributor role with significant ownership over how our ML platform evolves as we scale the number of models, workloads, tools, and teams that depend on it.Key ResponsibilitiesDesign and enhance the platform systems supporting model training, evaluation, and production serving.Construct infrastructure and tools that bolster the reliability, scalability, and cost-effectiveness of ML workloads.Develop internal tools and workflows that are user-friendly for both human operators and automated agents.Collaborate on the architecture that governs the deployment, serving, and operation of models across research and production environments.

Join our dynamic team at Synthesia as an IT Systems and Support Engineer. You will play a pivotal role in managing and enhancing our IT infrastructure, providing exceptional support to our teams, and ensuring seamless technology operations. This is an opportunity to work with cutting-edge technology in a fast-paced environment while collaborating with a talented group of professionals.

Join Synthesia, the leading AI video platform transforming business communication for over 90% of the Fortune 100 companies. Founded in 2017 and headquartered in London, we have expanded our reach with teams across Europe and the United States.As AI continues to redefine work and communication, our innovative products enhance visual storytelling and skill development, empowering individuals to thrive in their organizations.Having recently closed a successful Series E funding round with $200 million raised, our company is now valued at $4 billion, backed by esteemed investors such as Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, along with founders from Stripe, Datadog, Miro, and Webflow.About the RoleAs a Technical Support Associate, you will play a vital role in delivering exceptional first-line support to our enterprise customers. This position involves assisting with technical inquiries, troubleshooting issues, and progressively tackling more complex challenges as you hone your technical capabilities.You will collaborate closely with experienced Technical Support Specialists and Engineers, gaining invaluable exposure to various technical systems while supporting both customers and internal teams. This is an excellent opportunity to kickstart or advance your career in technical support within a dynamic SaaS environment.Key Responsibilities:Deliver first-line technical support to enterprise customers primarily via live chat, effectively diagnosing and resolving platform issues.Collect and document all pertinent information for reported issues, ensuring precise case documentation and updates.Utilize standard troubleshooting techniques and validated solutions under the guidance of senior team members.Escalate complex or critical issues to Technical Support Specialists or Engineering teams, providing comprehensive diagnostic details.Reproduce reported issues in internal environments to support investigations.Follow up with customers to ensure their issues are resolved satisfactorily.Maintain clear and professional communication with customers throughout the support process.Document solutions, troubleshooting procedures, and new learnings for internal knowledge sharing.About You:1 to 3 years of experience in technical support, helpdesk, or customer service roles.

Join Synthesia as a Senior Experiential Brand Designer, where you will play a pivotal role in shaping our brand's visual identity and enhancing user experiences. You'll collaborate with cross-functional teams to create innovative designs that resonate with our audience and drive engagement.

Join our dynamic team at Synthesia as a Sales Development Representative based in London! In this role, you will be at the forefront of our sales efforts, driving lead generation and nurturing potential clients. You will work closely with our sales and marketing teams to identify and engage prospects, helping to introduce them to our innovative solutions.

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 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.

Join our innovative team at Elliptic as a Senior Data Engineer, where your expertise will help shape the future of blockchain intelligence. We are looking for a talented individual who is passionate about data engineering and wants to make an impact in the cryptocurrency space.In this role, you will design, develop, and optimize data pipelines, ensuring the integrity and accuracy of data that drives decision-making across the organization. Your work will involve collaborating with various stakeholders to identify data needs and implement solutions that enhance data accessibility and usability.

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 Pogust Goodhead as a Senior Data Engineer, where you will be at the forefront of data innovation and drive impactful solutions for our clients. Your expertise will enable us to harness data analytics, develop robust data pipelines, and ensure the integrity of our data systems. You will collaborate with cross-functional teams to optimize data workflows and enhance our data-driven decision-making processes.

At Altana, we are at the forefront of creating a trustworthy trade network. Our innovative AI-driven product ecosystem enables governments and businesses to cultivate a resilient and secure global economy while ensuring the seamless flow of trade.Join the Altana Team!The Implementation team is dedicated to enhancing Altana's products by integrating them with our clients' systems, delivering exceptional insights, and fostering valuable business process collaborations. We handle intricate customer integrations, tailoring data pipelines for specific client needs, and integrating proprietary data into our knowledge graph while ensuring privacy. Our team collaborates closely with clients, as well as our internal engineering, machine learning, and product development groups.Key Responsibilities Include:Designing, deploying, and continuously optimizing large-scale, distributed data pipelines that support Altana’s advanced network analysis, machine learning, data ingestion, and fusion capabilities.Advancing Altana's technology to enhance scalability and meet the changing demands of our customer base.Acting as the technical authority in client-facing meetings, translating complex governmental requirements into our platform's technical framework.Collaborating within a cross-functional team of engineers, data scientists, and product managers.Assessing and recommending new tools, technologies, and best practices for data pipeline development, orchestration, and deployment.

About Flywheel Digital Flywheel Digital supports leading brands with digital commerce solutions that drive growth across major online marketplaces. The company’s platform delivers near real-time performance insights, helping clients improve sales, market share, and profitability. With teams across the Americas, Europe, and APAC, Flywheel Digital offers broad opportunities for personal and professional development. Role Overview Flywheel Digital is hiring a Senior Data Engineer in London. This role focuses on data architecture and pipeline design, building advanced data solutions for AdTech and MarTech. The team is looking for someone with deep experience in these areas who is ready to lead projects and shape the next generation of data products.