Senior Software Engineer, Data

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 scale
• Strong software engineering skills
• Experience delivering and maintaining production systems
• Experience with workflow orchestration for parallelised jobs; Flyte preferred, but Airflow, Prefect, or similar tools are also relevant
• Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, and operational alerting
• Strong cloud platform skills, with Azure preferred; experience with AWS or GCP is a plus
• Proficiency in Python and Terraform
• Experience with blob/object storage, large-scale file movement, networking, or cloud-to-cloud data transfer
• A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements
• Comfort working in a fast-changing environment with evolving requirements
• A strong sense of ownership: you take responsibility for outcomes, communicate clearly, and help the team move quickly
• Experience working with external data partners or customer-facing technical integrations
• Background in autonomous vehicles, robotics, geospatial data, video processing, or other data-intensive domains
• Experience with Kafka or other event-driven systems for transfer observability and lifecycle tracking
• Experience building dashboards to communicate transfer job status
• Multi-cloud experience across Azure, AWS, and/or GCP
• Experience 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 scale
• Contribute to the technical design of the Data Transfer Hub, making pragmatic trade-offs across UX, reliability, throughput, cost, partner constraints, observability, and operational support
• Build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure
• Help implement and evolve a globally distributed hub-and-spoke data transfer model to retrieve and share sensor data at scale with partners
• Write infrastructure-as-code in Terraform and pipeline logic primarily in Python
• Build reliable operational foundations, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, dashboards, and alerting
• Work on cloud-to-cloud and cross-cloud networking solutions, with Azure as the primary cloud platform
• Once established, participate in an out-of-hours on-call and support rotation
• Collaborate with product, commercial, and partner-facing teams to understand constraints and deliver solutions that solve real customer and partner problems
• Work in a fast-changing environment where requirements and partner deliverable dates evolve, while maintaining high engineering standards

Technologies:

• AI
• Airflow
• AWS
• Azure
• Cloud
• GCP
• Hardware
• Support
• Kafka
• Python
• Robotics
• Terraform
• UX UI Design
• Model 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