Analytics Engineer
Core
Build scalable data models and semantic layers to provide a single source of truth for real-time insights to global public transport operators.
Role type
Analytics Engineer (Data Warehousing & Semantic Layer)
Builds
Scalable data models, semantic layer views, and reusable dashboards for customer-facing analytics.
Domain
Public transport optimization / Cloud Data Warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL (window functions, CTEs, optimization), Cloud data warehouse expertise (BigQuery, Snowflake, Redshift), Git workflows, Command line proficiency, Time-series data handling, Large-scale dataset management
Preferred skills
Business acumen, Stakeholder communication, Data architecture design
Technologies
BigQuery, Snowflake, Redshift, Git, SQL
Responsibilities
Build and create data models that solve business problems; Define, build, and edit semantic layer views for dashboards and AI tools; Participate in cross-team meetings and follow deployment processes; Respond to data requests from commercial teams and explain complex data to stakeholders.
Seniority
Mid-level (3+ years experience)
