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.

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Senior Analytics Engineer

Key skills