Senior Analytics Engineer (Semantic Layer)

Quick Facts

• Role: Senior Analytics Engineer (Semantic Layer)

Description

Join a project focused on building an AI-first semantic layer that standardizes and governs business metrics across analytics platforms, dashboards, reporting systems, and AI-powered applications. You’ll design canonical analytical models, translate business definitions into robust technical implementations, and ensure trusted, reusable metrics across the organization.

Responsibilities

• Design and implement scalable semantic modeling approaches for enterprise analytics
• Build canonical analytical models on top of the core data platform
• Govern business metrics together with Finance, Product, Ad Operations, Sales, and other stakeholders
• Translate business definitions into robust and tested technical implementations
• Create and maintain reusable semantic models consumable by BI tools, analytical products, and AI agents
• Create and maintain dashboards and analytical solutions for internal stakeholders
• Reconcile critical metrics across operational systems, reporting platforms, and financial data
• Implement automated testing for metrics, transformations, and business rules
• Maintain documentation, metadata, and lineage for business definitions and analytical assets
• Contribute to company-wide data standardization processes
• Design intuitive datasets optimized for analyst workflows and machine consumption
• Ensure governed metric definitions are consistently used across internal and customer-facing reporting systems

Requirements

• At least 5 years of experience in Analytics Engineering or Data Engineering
• Advanced SQL skills
• Commercial experience with dbt or similar modern data transformation frameworks
• Strong understanding of dimensional, canonical, and semantic modeling concepts
• Experience building production-grade BI solutions and analytical products
• Ability to collaborate with non-technical stakeholders to define business metrics and KPIs
• Strong understanding of data quality validation, testing, and reconciliation processes
• Ability to transform ambiguous business concepts into clear technical definitions
• Hands-on experience implementing semantic or metrics layers
• Experience working with modern cloud-based data platforms and scalable analytics architectures
• Upper-Intermediate English proficiency

Benefits

• Opportunity to contribute to large-scale AdTech and analytics initiatives
• Work with modern data platforms
• Influence self-service analytics and AI-powered reporting solutions