Staff Data Platform Engineer

What You'll Do Set technical direction for the Data Transfer Hub , making trade-offs across reliability, throughput, cost, partner constraints, observability and operational support. Lead the technical design and delivery of the Data Transfer Hub project, ingesting large volumes of video, LiDAR and sensor data from global partners at up to PB/day scale Design and 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 Build and operate 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 ; build pipeline logic primarily in Python Drive cloud-to-cloud and cross-cloud networking solutions (Azure primary; cross-cloud experience beneficial) Work in a fast-changing environment:

requirements will evolve; high comfort with ambiguity required

What We're Looking For Proven experience building and operating large-scale data transfer pipelines at multi-TB or PB scale Experience orchestrating parallelised transfer jobs: Flyte preferred; other workflow orchestration tools (e.g. Airflow, Prefect) will be considered Experience building reliable, observable data systems , including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting. Strong cloud platform skills (Azure preferred); experience working with multiple cloud providers (AWS/GCP) is a strong advantage Proficiency in Python and Terraform Cloud-to-cloud and networking experience (e.g. blob/object transfer and storage at scale, cross-cloud data movement) 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: this is a startup within a scale-up High degree of autonomy and ownership: you take responsibility for outcomes, not just tasks

Nice to Have Experience with Kafka for event-driven transfer observability Multi-cloud experience across Azure, AWS and/or GCP Experience working directly with external data partners Background in autonomous vehicles, robotics or similar data-intensive domains This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. #LI-KM1 Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the

requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care

responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care

responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.