About this role
Salary: £60,000 - 60,000 per year
Requirements: Proven experience building and operating large-scale data transfer, ingestion, or data processing pipelines, ideally at multi-TB or PB scaleStrong software engineering skillsExperience delivering and maintaining production systemsExperience with workflow orchestration for parallelised jobs; Flyte preferred, but Airflow, Prefect, or similar tools are also relevantExperience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, and operational alertingStrong cloud platform skills, with Azure preferred; experience with AWS or GCP is a plusProficiency in Python and TerraformExperience with blob/object storage, large-scale file movement, networking, or cloud-to-cloud data transferA product mindset: you think about the customer and build solutions that fix real problems, not just implement requirementsComfort working in a fast-changing environment with evolving requirementsA strong sense of ownership: you take responsibility for outcomes, communicate clearly, and help the team move quicklyExperience working with external data partners or customer-facing technical integrationsBackground in autonomous vehicles, robotics, geospatial data, video processing, or other data-intensive domainsExperience with Kafka or other event-driven systems for transfer observability and lifecycle trackingExperience building dashboards to communicate transfer job statusMulti-cloud experience across Azure, AWS, and/or GCPExperience improving cost efficiency, throughput, or reliability of large-scale cloud data systems Responsibilities: Build and operate large-scale data transfer pipelines for video, LiDAR, and sensor data from global partners at up to PB/day scaleContribute to the technical design of the Data Transfer Hub, making pragmatic trade-offs across UX, reliability, throughput, cost, partner constraints, observability, and operational supportBuild parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructureHelp implement and evolve a globally distributed hub-and-spoke data transfer model to retrieve and share sensor data at scale with partnersWrite infrastructure-as-code in Terraform and pipeline logic primarily in PythonBuild reliable operational foundations, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, dashboards, and alertingWork on cloud-to-cloud and cross-cloud networking solutions, with Azure as the primary cloud platformOnce established, participate in an out-of-hours on-call and support rotationCollaborate with product, commercial, and partner-facing teams to understand constraints and deliver solutions that solve real customer and partner problemsWork in a fast-changing environment where requirements and partner deliverable dates evolve, while maintaining high engineering standards Technologies: AIAirflowAWSAzureCloudGCPHardwareSupportKafkaPythonRoboticsTerraformUX UI DesignModel Training More:
We are Wayve, founded in 2017 and a leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, helping improve the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward through intelligent, mapless, and hardware-agnostic AI products for automakers. This full-time Senior Software Engineer, Data role is based in our London office, and we operate a hybrid working policy that combines time in our offices and workshops with time working from home. We value diversity, inclusion, and collaboration, and we aim to provide an inclusive interview experience and an environment where contributions matter.
last updated 36 week of 2026