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# Staff Data Platform Engineer

- **Company:** Wayve
- **Location:** London, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Data Transmissions, Data Infrastructure, Data Integrity, Data Systems, Distributed Data Store, Python (Programming Language), Cloud Platform System, Multi-Cloud, Build Management, Apache Kafka, Terraform, Lidar
- **Published:** May 29, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=e1095e450fd3f135

## About the Role

Do you have experience in Terraform?, * 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

## Description

We're looking for a Staff Data Platform Engineer to own and lead Wayve's Data Transfer Hub project. This is a mission-critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partner-operated vehicles around the world., * 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


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