Senior BI Engineer

The Senior BI Engineer is responsible for maintaining and developing a robust BI infrastructure that bridges raw data and business intelligence. This role focuses on building a governed Semantic Layer where data is granular, secure, and highly performant, ensuring that the business has a "Single Version of the Truth" across all brands and regions.

Key Responsibilities

• BI Infrastructure & Development: Maintains, operates, and develops a solid BI ecosystem. Architect's data models that preserve atomic, user-level granularity to allow for flexible, non-aggregated reporting.
• System Efficiency: Proactively identifies and improves efficiencies in current tools. Prioritizes raw source data and optimized query pathing to minimize warehouse costs and simplify dependency graphs.
• Defensive Data Modeling: Standardizes "Safe Dimension Patterns" to prevent data duplication (fan-out) and ensures strict type safety across all system joins.
• Analytics Support: Provides advanced analytics support to relevant teams, developing new reports and ensuring data integrity through consistent "Ground Truth" join strategies.
• Process Optimization: Proactively proposes improvements to the working processes, focusing on "Metadata-as-Code" to ensure all dimensions and metrics are explicitly governed and documented.
• Operational Problem Solving: Resolves emergencies and operational problems related to data pipelines. Implements graceful fallbacks and null-handling to ensure reporting stability.
• Collaboration: Synchronizes team activities with other departments to ensure data isolation and multi-tenant security protocols are met across the organization.

Main Administrative Responsibilities

• Operational Support: Supports ongoing activities and resolves emergencies related to the work of the team.
• Compliance: Carries out all activities in strict compliance with the employer’s procedures, regulations, and labor legislation.
• Reporting: Prepares and presents regular reports on team activities and system health to management.

Requirements

• Secondary or higher education with an economic, technical, or language profile.
• Professional Experience: Proven experience in a similar position (Analytics Engineering, Data Modeling, or BI Architecture).
• Advanced mastery of SQL and cloud data warehouses (e.g., BigQuery, Snowflake).
• Expertise in transformation frameworks (e.g., dbt) and semantic layer management.
• Experience with multi-tenant data security and attribute-based access control.
• Excellent command of written and spoken English.
• Superior organizational and communication skills.
• A "Code-over-Clicks" mindset regarding data governance.
• Strong team-working abilities and a proactive approach to problem-solving.

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