BI Engineer at Wayve

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI, TechnologyIndustries

Requirements

Design and deliver BI dashboards and visualizations within the Wayve AI Portal, surfacing insights on AI Driver deployment and performance for customers
Collaborate with data engineers and product designers to define clear, consistent insights aligned with validated data models
Work with data engineering teams to define and validate semantic layers, data marts, and transformations that power BI dashboards
Implement data aggregation pipelines, SQL queries, and materialized views to ensure scalable, performant, and maintainable analytics
Optimize query performance, caching, and refresh strategies for low-latency embedded dashboards
Develop and maintain AI Portal dashboards or equivalent embedded BI layers integrated into the Portal frontend
Partner with Product to define KPI frameworks, success metrics, and data narratives that drive product and business decisions
Implement data validation, monitoring, and governance processes to ensure accuracy and freshness
Ensure role-based access control (RBAC) and compliance with Portal IAM and data security standards
Document metric definitions, dashboard logic, data lineage, and query performance best practices for transparency and self-service analytics
Desirable
Familiarity with automotive domain - vehicle production readiness insights (releases, issues, certification, validation insights)
Familiarity with Sigma Computing

Responsibilities

Design and deliver embedded BI dashboards, visualizations, and analytical experiences
Define how the dashboards are implemented, performant, and integrated into the product
Work cross-functionally with multiple stakeholders/teams to define core metrics and visual narratives
Build interactive dashboards and visual data products
Ensure the Portal’s data presentation layer delivers clear, consistent, and performant user experiences

Skills

BI Dashboards

Data Visualization

Embedded Analytics

Data Presentation

Insights

SQL

Tableau

Power BI

Looker

Wayve

Develops autonomous vehicle technology using AI

About Wayve

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating a smarter and safer approach to autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.

London, United KingdomHeadquarters

2017Year Founded

$1,272.3MTotal Funding

SERIES_CCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Hybrid Work Options

Risks

Increased competition in San Francisco could dilute Wayve's market presence.

Regulatory challenges may delay the deployment of Wayve's technology with Uber.

Wayve's reliance on AI systems may face skepticism from traditional automakers.

Differentiation

Wayve uses embodied AI to adapt vehicles to any environment without explicit programming.

Its AV2.0 technology eliminates the need for costly robotic stacks and complex mapping.

Wayve's end-to-end deep learning approach offers a cost-effective solution for automakers.

Upsides

Wayve's partnership with Uber expands its market reach and data collection opportunities.

The expansion into the U.S. market taps into a larger talent pool and partnerships.

Generative AI models like GAIA-1 offer new ways to simulate driving scenarios.

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