Senior Analytics Engineer: AI-First Semantic Layer

Sigma Software; Warszawa, Kraków, Poznań, Wrocław; On-site; PLN 180,000 - 270,000; Full time

Job summary

Sigma Software seeks a Senior Analytics Engineer to build an AI-first semantic layer that standardizes and governs business metrics across dashboards, reporting systems, analytical products, and AI-powered applications. You will collaborate with cross-functional teams to transform raw data into trusted business meaning for the organization.

The role emphasizes semantic modeling, production-grade BI solutions, and data governance.

Qualifications

• 5+ years of experience in Analytics Engineering or Data Engineering.
• Strong background in analytics engineering, data modeling, or business intelligence 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.
• Experience collaborating 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 in SaaS or AdTech domains.
• Experience working with modern cloud-based data platforms and scalable analytics architectures.
• At least an Upper-Intermediate level of English.

Responsibilities

• Design and implement scalable semantic modeling approaches for enterprise analytics.
• Build canonical analytical models on top of the core data platform.
• Define and govern business metrics together with Finance, Product, Ad Operations, Sales, and other stakeholders.
• Translate business definitions into robust and tested technical implementations.
• Develop 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 establishing company-wide data standardization processes.
• Design intuitive datasets optimized for analyst workflows and machine consumption.
• Support the evolution of self-service analytics capabilities.
• Ensure governed metric definitions are consistently used across internal and customer-facing reporting systems.

Skills

Advanced SQL

Analytics engineering

Data modeling

Business intelligence

Problem solving

Tools

dbt

Job description

Sigma Software seeks a Senior Analytics Engineer to build an AI-first semantic layer that standardizes and governs business metrics across dashboards, reporting systems, analytical products, and AI-powered applications. You will collaborate with cross-functional teams to transform raw data into trusted business meaning for the organization.

The role emphasizes semantic modeling, production-grade BI solutions, and data governance.