Senior Data Engineer

About Us

RB Global (NYSE: RBA) (TSX: RBA) is a leading, omnichannel marketplace that provides value-added insights, services and transaction solutions for buyers and sellers of commercial assets and vehicles worldwide. Through its auction sites in 13 countries and digital platform, RB Global serves customers in more than 170 countries across a variety of asset classes, including automotive, commercial transportation, construction, government surplus, lifting and material handling, energy, mining and agriculture.

The company’s marketplace brands include Ritchie Bros., the world’s largest auctioneer of commercial assets and vehicles offering online bidding, and IAA, a leading global digital marketplace connecting vehicle buyers and sellers. RB Global’s portfolio of brands also includes Rouse Services, which provides a complete end-to-end asset management, data-driven intelligence and performance benchmarking system; SmartEquip, an innovative technology platform that supports customers’ management of the equipment lifecycle and integrates parts procurement with both OEMs and dealers; Xcira, a leader in live simulcast auction technologies; and Veritread, an online marketplace for heavy haul transport.

About The Team

Our Technology teams work collaboratively from different locations across the world on multiple eCommerce sites, mobile applications, and automated online auctions. We encourage and celebrate technical innovation and work with some of the industry’s leading technologies and tools.

Every day your work will make a difference in the way we run our business and the in the way customers interact with us.

Job Description

We are seeking a highly motivated and skilled Sr. Data Engineer with extensive experience in business intelligence (BI) tools such as Looker, Tableau, or similar platforms to join our dynamic Data Analytics team. In this role, you will own the end-to-end development of BI solutions, encompassing data modeling, transformational work, and visual development, to enable actionable insights across the organization. Your expertise will directly empower data-driven decision-making at scale.

Responsibilities

Own and Drive BI Tool Development

Design, develop, and optimize data models, reports, and dashboards in BI platforms (e.g., Looker, Tableau).

Leverage advanced transformational capabilities to ensure intuitive and high-performing visualizations.

Lead efforts to maximize user adoption and satisfaction with BI tools. Collaborate on Data Strategy

Partner with business stakeholders to identify data needs and translate requirements into efficient BI solutions.

Work closely with the Data Warehouse team to build and maintain ETL pipelines for clean, reliable, and timely data delivery. Enhance Data Governance and Quality

Implement best practices for data governance, ensuring robust access controls, metadata management, and adherence to privacy standards.

Develop systems for monitoring data integrity and troubleshooting issues across pipelines. Innovate BI Practices

Advocate for and adopt emerging trends in BI engineering and data visualization.

Standardize reusable templates and design principles within Looker and Tableau. Enable Self-Service Analytics

Foster a culture of self-service by training teams on BI tools and providing user-friendly solutions tailored to business needs.

Qualifications

7+ years of experience in data engineering or analytics roles, with a focus on BI tools (e.g., Looker, Tableau)

Bachelors degree in Computer science, Information Technology or related field

Strong background in SQL, Python, and cloud-based platforms like Google BigQuery

Demonstrated ability to manage end-to-end visual development in BI platforms, including transformational work and user experience optimization

Proven track record of aligning technical BI solutions with business objectives

Strong communicator and problem solver with a focus on innovation and continuous improvement Preferred Certifications

Looker Certified Professional, Tableau Desktop Specialist, or Google Cloud Data Engineer.

Key Skills

Advanced understanding of BI platform architecture and best practices.

Expertise in designing scalable and high-performance data models tailored for visualization.

Strong collaboration and communication skills, bridging business and technical teams effectively.

Commitment to continuous improvement and staying at the forefront of data visualization technologies