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Experience Level
Senior
About the job
Fastly, Inc. is seeking a Senior Data Center Engineer to join its London team. This position centers on optimizing data center operations that power Fastly’s global cloud platform.
Key responsibilities
Maintain and enhance the performance and availability of Fastly’s services within the data center environment.
Design, implement, and support critical infrastructure supporting Fastly’s worldwide network.
Collaborate with teams across the company to improve efficiency and strengthen data center capabilities.
Fastly, Inc. is seeking a Senior Data Center Engineer to join its London team. This position centers on optimizing data center operations that power Fastly’s global cloud platform. Key responsibilities Maintain and enhance the performance and availability of Fastly’s services within the data center environment. Design, implement, and support critical infrast…
Orbital Industries develops advanced hardware for AI data centers, focusing on both high performance and sustainability. The company relies on an AI-driven platform that blends automated hardware engineering with material science. Teams bring together expertise from AI research, operations, advanced materials, mechanical and chemical engineering, and manufacturing. Collaboration across these areas shapes every product. The culture values people who care about physical technology, are curious about AI, and enjoy learning alongside others in a collaborative environment. Role overview This Senior Mechanical Engineer position centers on modular data centers. The role involves designing and improving systems that use two-phase direct-to-chip cooling with Orbital’s proprietary fluids. Work also includes developing chiller systems that handle both data center cooling and carbon capture, as well as planning mechanical layouts for data center equipment. What you will do Design and refine modular data centers, focusing on two-phase direct-to-chip cooling systems with proprietary fluids. Develop chiller systems that support both cooling and carbon capture functions. Create layouts and designs for mechanical systems within data center equipment. Conduct lab experiments to test and validate cooling and carbon capture solutions. Contribute to both strategic planning and hands-on research as part of the Modular Data Center team. Requirements Proven experience as a mechanical engineer with a history of innovative design. Strong interest in advanced cooling technologies and sustainable hardware. Comfortable working within integrated, multidisciplinary teams. Curiosity about AI and its role in hardware engineering. Located in or able to work from London, UK.
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 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.
Why Choose Nebius?Nebius is at the forefront of revolutionizing cloud computing to support the burgeoning global AI economy. We provide essential tools and resources that empower our clients to tackle real-world problems and transform industries without incurring hefty infrastructure expenses or building extensive in-house AI/ML teams. Our workforce operates on the cutting edge of AI cloud infrastructure, collaborating with some of the most innovative leaders and engineers in the industry.Our Work EnvironmentWith our headquarters in Amsterdam and a listing on Nasdaq, Nebius maintains a global presence with R&D hubs across Europe, North America, and Israel. Our team of over 1,400 employees includes more than 400 skilled engineers who possess extensive expertise in hardware and software engineering, along with an in-house AI R&D unit.Exciting Data Center Development Opportunities:Join us and work with state-of-the-art technologies in data operations, cloud computing, and infrastructure management. As global data center operations expand, numerous career advancement opportunities await you. Your role in the data center will significantly impact performance, customer satisfaction, and operational efficiency, while you also contribute to groundbreaking data center projects. Collaborate with experts in AI data center development and operations, gaining valuable insights from leaders in the field. This innovative environment empowers you to create solutions that surpass industry standards in design and deployment.Your RoleAs a Data Center IT Technician, you will be instrumental in maintaining and optimizing the IT infrastructure within our data center. This position entails hands-on work with modern technologies, including the advanced H200 GPU cloud cluster. Your duties will include supporting the data center’s IT infrastructure, troubleshooting hardware issues, and ensuring the seamless operation of critical systems.Work on-site at our colocation facility in Longcross, UK.Your Responsibilities Include:Diagnosing and resolving IT hardware issues to ensure continuous support for the data center's IT infrastructure.Collaborating effectively with internal teams and external contractors to address technical and operational challenges.Installing, upgrading, and dismantling hardware as per operational requests and requirements.Managing and maintaining the connectivity of fiber optic cables and other components.
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.
Join Turner Townsend as a Senior Project Manager specializing in Data Centers. In this pivotal role, you will oversee and manage various aspects of data center projects, ensuring they are delivered on time, within budget, and to the highest quality standards. You will collaborate with cross-functional teams and stakeholders to drive project success, while also mentoring and guiding junior team members.
Join our dynamic team at Eucalyptus as a Senior Data Engineer, where you will play a pivotal role in designing and implementing data solutions that drive our business forward. You will work with cutting-edge technology to ensure data reliability and accessibility, enabling our teams to make informed decisions. Your expertise in data engineering will contribute significantly to our mission, and you will have the opportunity to collaborate with cross-functional teams.
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.
Join Tilt as a Senior Data Architect! At Tilt, our mission is clear: Make Commerce Alive. We are revolutionizing the traditional commerce landscape, moving away from outdated store website builders and impersonal marketplaces to create engaging, community-driven experiences for a new generation of merchants. In the UK, millions of enthusiastic shoppers, from sneaker collectors to Y2K fashionistas, have embraced Tilt. Our platform has empowered many sellers to achieve over £1M in earnings, with numerous others surpassing the UK median income. And this is just the beginning!Your Role We are on the lookout for a Senior Data Architect who will take charge of our comprehensive data platform. This hands-on position demands a high level of ownership. You will be tasked with overseeing the architecture, reliability, and scalability of our data warehouse, transformation layer, orchestration, and analytics stack. Your role will involve enhancing our existing systems using tools such as Snowflake, Dagster, dbt, Postgres, Metabase, and ContextFlow, while establishing standards that facilitate intelligent scaling. We seek someone with a profound understanding of data, who can think structurally and design sustainable systems, rather than just writing SQL.Your Responsibilities First 0-3 MonthsGain an in-depth understanding of our current Snowflake warehouse architectureAudit and refine existing dbt models for clarity, performance, and accuracyReview and stabilize Dagster orchestration pipelinesIdentify data quality issues and implement testing standardsEnsure key dashboards in Metabase are supported by reliable, well-structured datasetsDocument the current system architecture and establish architectural standardsAfter 3+ MonthsRedesign and optimize warehouse architecture as necessaryImplement scalable data modeling patterns across various domainsEnhance cost efficiency and performance within SnowflakeIntroduce stronger observability, testing, and data lineage practicesEnable AI and product features by structuring high-quality, production-ready datasetsEstablish clear version control and deployment workflows for data modificationsCollaborate with product and engineering teams to define data contracts and ownership responsibilities
Join Our Journey Welcome to Zopa! Founded in 2005, Zopa pioneered peer-to-peer lending and has since evolved, launching Zopa Bank in 2020. Our mission is to transform the banking experience by prioritizing customer needs and redefining financial services. We empower our team and customers to challenge the norms and aim high. Discover our innovative offerings at Zopa.com!We take pride in our accomplishments and our outstanding team, which has propelled us to be recognized as one of the UK’s Most Loved Workplaces.At Zopa, we welcome those who thrive on unconventional challenges and are eager to make a significant impact. Follow us on Instagram @zopalife to see our culture in action!About the Team:The Data Engineering team is essential in designing, constructing, and managing the intricate data pipelines vital to our bank's operations. We leverage a blend of software engineering, data analytics, and operational skills while collaborating with various teams to tackle diverse and complex challenges. Our culture values teamwork, practicality, and continuous learning over individual accomplishments.This role offers you the opportunity to join Zopa’s Data Engineering team at a pivotal moment of growth and advancement. You will be instrumental in developing and enhancing the data platforms that drive decision-making throughout the bank, from customer behavior insights to critical applications like fraud detection, where every moment counts.
Role overview hmgroup needs a Senior Data Engineer based in London to influence how data is used across the company. This position centers on building and maintaining systems that move and organize large amounts of data, helping teams make informed decisions. Main responsibilities Design and manage data pipelines that process significant data volumes Build architecture to ensure reliable data processing and analytics Convert raw data into insights that support teams throughout hmgroup
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.
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.
Fastly, Inc. is seeking a Senior Data Center Engineer to join its London team. This position centers on optimizing data center operations that power Fastly’s global cloud platform. Key responsibilities Maintain and enhance the performance and availability of Fastly’s services within the data center environment. Design, implement, and support critical infrast…
Orbital Industries develops advanced hardware for AI data centers, focusing on both high performance and sustainability. The company relies on an AI-driven platform that blends automated hardware engineering with material science. Teams bring together expertise from AI research, operations, advanced materials, mechanical and chemical engineering, and manufacturing. Collaboration across these areas shapes every product. The culture values people who care about physical technology, are curious about AI, and enjoy learning alongside others in a collaborative environment. Role overview This Senior Mechanical Engineer position centers on modular data centers. The role involves designing and improving systems that use two-phase direct-to-chip cooling with Orbital’s proprietary fluids. Work also includes developing chiller systems that handle both data center cooling and carbon capture, as well as planning mechanical layouts for data center equipment. What you will do Design and refine modular data centers, focusing on two-phase direct-to-chip cooling systems with proprietary fluids. Develop chiller systems that support both cooling and carbon capture functions. Create layouts and designs for mechanical systems within data center equipment. Conduct lab experiments to test and validate cooling and carbon capture solutions. Contribute to both strategic planning and hands-on research as part of the Modular Data Center team. Requirements Proven experience as a mechanical engineer with a history of innovative design. Strong interest in advanced cooling technologies and sustainable hardware. Comfortable working within integrated, multidisciplinary teams. Curiosity about AI and its role in hardware engineering. Located in or able to work from London, UK.
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 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.
Why Choose Nebius?Nebius is at the forefront of revolutionizing cloud computing to support the burgeoning global AI economy. We provide essential tools and resources that empower our clients to tackle real-world problems and transform industries without incurring hefty infrastructure expenses or building extensive in-house AI/ML teams. Our workforce operates on the cutting edge of AI cloud infrastructure, collaborating with some of the most innovative leaders and engineers in the industry.Our Work EnvironmentWith our headquarters in Amsterdam and a listing on Nasdaq, Nebius maintains a global presence with R&D hubs across Europe, North America, and Israel. Our team of over 1,400 employees includes more than 400 skilled engineers who possess extensive expertise in hardware and software engineering, along with an in-house AI R&D unit.Exciting Data Center Development Opportunities:Join us and work with state-of-the-art technologies in data operations, cloud computing, and infrastructure management. As global data center operations expand, numerous career advancement opportunities await you. Your role in the data center will significantly impact performance, customer satisfaction, and operational efficiency, while you also contribute to groundbreaking data center projects. Collaborate with experts in AI data center development and operations, gaining valuable insights from leaders in the field. This innovative environment empowers you to create solutions that surpass industry standards in design and deployment.Your RoleAs a Data Center IT Technician, you will be instrumental in maintaining and optimizing the IT infrastructure within our data center. This position entails hands-on work with modern technologies, including the advanced H200 GPU cloud cluster. Your duties will include supporting the data center’s IT infrastructure, troubleshooting hardware issues, and ensuring the seamless operation of critical systems.Work on-site at our colocation facility in Longcross, UK.Your Responsibilities Include:Diagnosing and resolving IT hardware issues to ensure continuous support for the data center's IT infrastructure.Collaborating effectively with internal teams and external contractors to address technical and operational challenges.Installing, upgrading, and dismantling hardware as per operational requests and requirements.Managing and maintaining the connectivity of fiber optic cables and other components.
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.
Join Turner Townsend as a Senior Project Manager specializing in Data Centers. In this pivotal role, you will oversee and manage various aspects of data center projects, ensuring they are delivered on time, within budget, and to the highest quality standards. You will collaborate with cross-functional teams and stakeholders to drive project success, while also mentoring and guiding junior team members.
Join our dynamic team at Eucalyptus as a Senior Data Engineer, where you will play a pivotal role in designing and implementing data solutions that drive our business forward. You will work with cutting-edge technology to ensure data reliability and accessibility, enabling our teams to make informed decisions. Your expertise in data engineering will contribute significantly to our mission, and you will have the opportunity to collaborate with cross-functional teams.
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.
Join Tilt as a Senior Data Architect! At Tilt, our mission is clear: Make Commerce Alive. We are revolutionizing the traditional commerce landscape, moving away from outdated store website builders and impersonal marketplaces to create engaging, community-driven experiences for a new generation of merchants. In the UK, millions of enthusiastic shoppers, from sneaker collectors to Y2K fashionistas, have embraced Tilt. Our platform has empowered many sellers to achieve over £1M in earnings, with numerous others surpassing the UK median income. And this is just the beginning!Your Role We are on the lookout for a Senior Data Architect who will take charge of our comprehensive data platform. This hands-on position demands a high level of ownership. You will be tasked with overseeing the architecture, reliability, and scalability of our data warehouse, transformation layer, orchestration, and analytics stack. Your role will involve enhancing our existing systems using tools such as Snowflake, Dagster, dbt, Postgres, Metabase, and ContextFlow, while establishing standards that facilitate intelligent scaling. We seek someone with a profound understanding of data, who can think structurally and design sustainable systems, rather than just writing SQL.Your Responsibilities First 0-3 MonthsGain an in-depth understanding of our current Snowflake warehouse architectureAudit and refine existing dbt models for clarity, performance, and accuracyReview and stabilize Dagster orchestration pipelinesIdentify data quality issues and implement testing standardsEnsure key dashboards in Metabase are supported by reliable, well-structured datasetsDocument the current system architecture and establish architectural standardsAfter 3+ MonthsRedesign and optimize warehouse architecture as necessaryImplement scalable data modeling patterns across various domainsEnhance cost efficiency and performance within SnowflakeIntroduce stronger observability, testing, and data lineage practicesEnable AI and product features by structuring high-quality, production-ready datasetsEstablish clear version control and deployment workflows for data modificationsCollaborate with product and engineering teams to define data contracts and ownership responsibilities
Join Our Journey Welcome to Zopa! Founded in 2005, Zopa pioneered peer-to-peer lending and has since evolved, launching Zopa Bank in 2020. Our mission is to transform the banking experience by prioritizing customer needs and redefining financial services. We empower our team and customers to challenge the norms and aim high. Discover our innovative offerings at Zopa.com!We take pride in our accomplishments and our outstanding team, which has propelled us to be recognized as one of the UK’s Most Loved Workplaces.At Zopa, we welcome those who thrive on unconventional challenges and are eager to make a significant impact. Follow us on Instagram @zopalife to see our culture in action!About the Team:The Data Engineering team is essential in designing, constructing, and managing the intricate data pipelines vital to our bank's operations. We leverage a blend of software engineering, data analytics, and operational skills while collaborating with various teams to tackle diverse and complex challenges. Our culture values teamwork, practicality, and continuous learning over individual accomplishments.This role offers you the opportunity to join Zopa’s Data Engineering team at a pivotal moment of growth and advancement. You will be instrumental in developing and enhancing the data platforms that drive decision-making throughout the bank, from customer behavior insights to critical applications like fraud detection, where every moment counts.
Role overview hmgroup needs a Senior Data Engineer based in London to influence how data is used across the company. This position centers on building and maintaining systems that move and organize large amounts of data, helping teams make informed decisions. Main responsibilities Design and manage data pipelines that process significant data volumes Build architecture to ensure reliable data processing and analytics Convert raw data into insights that support teams throughout hmgroup
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.
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.
