Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Senior
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.
Pogust Goodhead is a leading global law firm known for its commitment to delivering innovative legal solutions. Our team of experts is dedicated to advocating for justice and ensuring that our clients receive the compensation they deserve. We pride ourselves on our collaborative culture and our drive to achieve excellence in everything we do.
Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, location & role pages.
Tailoring 0 resumes…
We'll move completed jobs to Ready to Apply automatically.
Search for Senior Simulation Data Engineer
4,373 results
physicsx
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.
About Gridcog Gridcog is a SaaS start-up focused on advancing the clean energy transition. The team brings together energy professionals building project modeling software that helps users make informed, strategic decisions about energy projects. Role Overview This Senior Simulation Engineer (Modeling) position centers on improving and expanding the simulation and optimization capabilities within Gridcog’s Python codebase. The work blends mathematical modeling, numerical methods, and production-level software engineering to deliver accurate, efficient, and reliable simulations at scale. What You Will Do Enhance and extend simulation and optimization features in the core Python platform Work with mathematical models and numerical methods to support complex energy project scenarios Ensure modeling outputs remain accurate and efficient as the platform grows About the Platform The Gridcog platform models the physical and commercial aspects of energy projects. It integrates technologies such as solar, wind, batteries, flexible loads, gensets, and EV fleets, capturing their interactions within electricity markets and tariff structures worldwide. Who Should Apply Simulation engineers with experience in modeling uncertainty and solving complex business problems Candidates with backgrounds in energy systems modeling are encouraged, but those with transferable skills from other modeling or data science domains will also be considered Location This position is based in London, England, United Kingdom.
Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originally initiated as the Google Self-Driving Car Project in 2009, our team has been relentlessly working to enhance mobility access and save lives by developing the Waymo Driver—The World’s Most Experienced Driver™. With over ten million successful rider-only trips facilitated by our technology, which has driven over 100 million miles on public roads and tens of billions of miles in simulations across more than 15 U.S. states, we are shaping the future of transportation.The Simulation ML Infrastructure team is responsible for creating scalable AI/ML infrastructure that propels our Simulator team towards innovative, state-of-the-art simulations of realistic environments for the Waymo Driver's training and testing. By leveraging large foundation models trained on extensive datasets, we enhance the authenticity and control of our simulations, including realistic representations of vehicles, pedestrians, cyclists, roads, traffic control systems, and weather conditions.We are currently seeking a highly skilled Senior Machine Learning Infrastructure Engineer to spearhead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models tailored for ML accelerator-friendly simulations. Your extensive knowledge in massive model scaling, ML accelerators, and distributed training will be vital in designing and optimizing our systems.
Waymo is a pioneering company in the field of autonomous driving technology, dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo has concentrated on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver supports our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, complemented by tens of billions of miles in simulation across 15+ U.S. states, our experience is unparalleled.The Simulator team is at the forefront of creating cutting-edge simulations of real-world environments for the training and assessment of the Waymo Driver. We leverage machine learning to accurately model the real world, incorporating realistic agents (vehicles, pedestrians, cyclists, motorcyclists, etc.), road systems, traffic controls, and weather conditions. To enhance the precision and flexibility of our simulations, we utilize large foundation models trained on extensive datasets, enabling rapid setup and deployment of multiple scenarios for our driver.Our London-based team collaborates closely with our colleagues in Mountain View and Oxford to develop and enhance these foundation models and integrate them into various evaluation and training products. We are seeking talented research engineers eager to tackle these innovative challenges.In this hybrid role, you will report directly to an Engineering Manager.
About UsPhysicsX is an innovative deep-tech company at the forefront of numerical physics and Formula One, dedicated to revolutionizing hardware innovation through software acceleration.We are crafting a cutting-edge AI-driven simulation software stack tailored for engineering and manufacturing in advanced industries. Our platform enables high-fidelity, multi-physics simulations via AI inference throughout the entire engineering lifecycle, unlocking unparalleled levels of optimization and automation in design, manufacturing, and operations. We empower engineers to push the boundaries of possibility, serving leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive sectors.The RoleAs part of our product team, PhysicsX is creating a platform utilized by Data Scientists and Simulation Engineers to construct, train, and deploy Deep Physics Models. The backbone of this platform is the management of vast volumes of intricate simulation data, facilitating high-fidelity multi-physics simulations through AI inference.We are seeking a Senior Frontend Software Engineer to join our dedicated team of Frontend Engineers. You will work collaboratively in a cross-functional environment, where you will have the autonomy to influence implementation decisions. You will be responsible for developing and enhancing the frontend that animates our platform — from dynamic 3D visualizations of simulation data to seamless API integrations that enable complex machine learning workflows. You will architect composable frontend structures, optimize performance for data-intensive interfaces, and ensure intuitive interactions for our engineers and scientists handling large datasets and simulation outputs.In this senior role, you will significantly shape the technical direction — authoring Technical Decision Records, mentoring junior engineers, and establishing standards that ensure our platform remains reliable, secure, and efficient. This position is perfect for a creator passionate about delivering exceptional user experiences and building robust frontend architectures.What You Will DoDevelop and improve a frontend platform that supports intricate simulation and machine learning workflows — from 3D visualizations to seamless API integrations and data-heavy interfaces.Design and implement scalable frontend architectures and component systems, including micro-frontend patterns, to facilitate maintainable development.Enhance user experience through advanced caching strategies, performance monitoring, layout optimization, and accessibility best practices.Develop and implement sophisticated state management and data flow patterns to accommodate real-time simulation data and complex user interactions.Take ownership of your work from inception to completion, ensuring high-quality results.
hmgroup
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
Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world’s most trusted driver. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has been at the forefront of innovation, developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility while significantly reducing the number of lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips completed, fueled by our experience of autonomously driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states, we are transforming transportation.The Driver Understanding and Evaluation (DUE) team at Waymo is focused on creating comprehensive metrics to evaluate the Waymo Driver’s behavior in real-world scenarios. We are developing advanced technologies such as context and scene analysis to enhance our driving understanding, as well as augmenting real-world driving data to generate rare driving events. This includes building large-scale data infrastructures and improving components like agents and realistic simulators, which are pivotal for our technical strategies and methodologies in assessing the Waymo Driver's performance.The DUE Machine Learning team will develop and maintain scalable machine learning systems and simulation workflows, enhancing evaluation processes and developer onboarding experiences. By merging expert human insights with cutting-edge machine learning models, we will provide training and evaluation data across hundreds of metrics and components that define the Waymo Driver. We are seeking passionate researchers and software engineers eager to harness machine learning techniques to elevate the evaluation systems within our autonomous vehicles, driven by a relentless pursuit of performance improvement.This position reports to the Engineering Manager.
XYZ Reality
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 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
Ravio
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!
Waymo is at the forefront of autonomous driving technology, striving to become the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™. Our goal is to enhance mobility access while preventing the tragic loss of life caused by traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. To date, we've completed over ten million rider-only trips, with extensive experience driving autonomously over 100 million miles on public roads and conducting tens of billions of miles in simulation across more than 15 U.S. states.The Simulator team is responsible for creating cutting-edge simulations that mimic realistic environments to train and test the Waymo driver. Through advanced machine learning techniques, we model real-world scenarios, including realistic agents such as vehicles, pedestrians, cyclists, motorcyclists, and more, alongside roads, traffic systems, and weather conditions. By leveraging large foundation models, trained on our vast datasets, we can rapidly set up and deploy diverse scenarios to challenge our driver.We are excited to establish a team in London, UK, to collaborate with our colleagues in Mountain View and Oxford on enhancing these foundational models and integrating them into various training and evaluation tools. We seek enthusiastic research engineers eager to tackle these groundbreaking challenges.In this hybrid role, you will report directly to an Engineering Director.
CuspAI is an AI-driven company focused on advancing material science. The team brings together recognized leaders in AI, chemistry, and engineering to address challenges in fields such as energy, clean water, computing, and carbon capture. Their work centers on developing a 'search engine' for next-generation materials, aiming to speed up material discovery and deliver real-world impact. As a Scientific Software Engineer specializing in Polymer Simulations, the role centers on building and refining atomistic simulation capabilities for polymer systems. The official title will be 'Member of Technical Staff', reflecting the technical depth of the position. Role overview This position focuses on designing workflows, setting methodologies, and establishing standards for polymer simulations. The work connects atomic-level modeling with the broader material properties that matter in industrial applications. Collaboration with both AI researchers and experimental partners is a key part of the job. What you will do Design and implement atomistic simulation workflows for polymer systems, including polymerization, melt equilibration, and production runs. Introduce and explore simulation techniques beyond molecular dynamics to address complex material challenges. Work with the AI research team to integrate machine learning models into simulation workflows, linking computational, experimental, and AI-driven insights. Collaborate with experimental partners to validate simulation results and strengthen the feedback loop between simulation and experiment.
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.
Recursion Pharmaceuticals
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.
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
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.
Pogust Goodhead
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.
Begin your journey with us. Advance your career here.AECOM is looking for a Senior Civil Engineer to play a key role in delivering civil engineering designs and comprehensive technical documentation for a variety of data centre projects. Your involvement will span from site due diligence assessments and master planning to detailed design and construction support. This position is essential in enhancing AECOM’s civil engineering capabilities within the data centre sector.In this role, you will be part of a Civil Engineering Business Unit, working in collaboration with ground engineers, structural engineers, mechanical engineers, electrical engineers, architects, project managers, environmental specialists, and surveyors both in the UK and internationally to support our diverse portfolio of data centre projects.As part of the Data Centres Market Sector, you will leverage your civil engineering expertise to contribute to significant projects for leading technology clients, collaborating with multidisciplinary teams across the UK and globally, further solidifying AECOM’s reputation in the Hyperscale and Co-location data centre markets.Your responsibilities will include:Providing civil engineering expertise for data centre initiatives while ensuring adherence to AECOM standards and applicable regulatory requirements.Delivering and reviewing designs and specifications for civil infrastructure, developing practical solutions for site development, earthworks, drainage, pavements, access, utility infrastructure, and other civil engineering tasks related to data centres.Coordinating with fellow civil engineers and technical experts to support the successful delivery of our data centre project portfolio, including collaboration with ground engineers, electrical engineers, mechanical engineers, structural engineers, project managers, architects, and environmental consultants across the UK and our global offices.Mentoring and assisting in the development of junior engineers, enhancing AECOM’s technical capabilities and delivery excellence within the Data Centres sector.Join us and thrive:At AECOM, we offer a comprehensive range of core and personalized benefits that support your well-being and future goals, tailored to fit your lifestyle. Enjoy career development opportunities, a flexible hybrid working model for a balanced work-life, access to technical practice networks, AECOM University, and volunteering days.
Sign in to browse more jobs
Create account — see all 4,373 results
Browse all companies, explore by city & role, or SEO search pages. View directory listings: all jobs, search results, or location & role pages.
