Senior Analytics Engineer
Arcadis Voir toutes les offres
- Toronto, ON
- 89.600-112.000 $ par an
- Permanent
- Temps-plein
- TravelIQ provides real-time traveller information and traffic event management, helping customers monitor congestion, incidents, road conditions, and travel-impacting events so they can enhance operational awareness and make better transportation decisions.
- The Arcadis Tolling Platform is a future-ready, user-centric tolling and revenue management system designed to support the seamless movement of people and goods across road networks. It combines roadside technology, operations, and back-office systems to deliver a fully integrated tolling solution.
- Define and implement the analytics architecture on the Arcadis Data Platform (Microsoft Fabric), bringing together historical and near-real time operational data in a performant, scalable, and futureproof way.
- Own the design and delivery of high-quality, customer-facing analytical reporting for TravelIQ and Tolling platform, translating customer and product needs into clear, actionable insights delivered through Power BI and embedded analytics.
- Build and maintain curated analytical data models that ensure consistent metrics, strong performance, and reusability across both products and customer reporting use cases.
- Identify and shape new opportunities to expand the products’ analytical capabilities, helping teams understand where additional insight, advanced reporting, or data-driven services could further differentiate the offering.
- Ensure analytical datasets and reports meet enterprise standards for data quality, governance, reliability, and performance, working closely with the digital data team to align with platform best practices.
- 7+ years of experience in analytics engineering, BI engineering, or data engineering roles focused on delivering analytical reporting and insights on high-volume operational data.
- Proven experience designing and implementing analytics architectures that bring data from operational databases (e.g. PostgreSQL or similar) into modern analytics platforms, enabling performant, scalable Power BI reporting.
- Strong data modelling expertise, with hands-on experience building dimensional or analytical models optimised for query performance, (cost)-efficiency, consistency, and reuse across multiple customers and use cases.
- Advanced SQL skills and practical experience transforming operational data into analytics-ready datasets using tools such as Microsoft Fabric, dbt, and Power BI (or equivalent modern data stack components).
- Demonstrated experience delivering customer-facing analytics, translating complex transactional and operational data into clear, trusted insights consumed by external customers.
- Experience working with other technology functions in a highly collaborative product team.
- Commercial awareness in analytics, with the ability to identify opportunities for additional data products, enhanced analytical services, or premium insight offerings that build on existing data assets.
- Background in transportation or other infrastructure-heavy, operational domains is highly appreciated, particularly where data scale, latency, and performance are critical.