Senior Analytics Engineer

TL;DR

Senior Analytics Engineer (Analytics Engineering): Building self-serve insight products and scalable data models with an accent on petabyte-level tracking, ELT pipelines, and consistent metric reporting. Focus on designing tracking plans, developing data products in BigQuery/dbt/Looker, and leading data quality and best-practice adoption across the analytics lifecycle.

Location: Mexico City, Mexico (hybrid)

Company

hirify.global develops and live-operates mobile and interactive entertainment experiences, powered by its Playgami technology platform.

What you will do

• Lead and collaborate with engineers, product teams, and analysts to develop self-serve insight products that are responsive, precise, and scalable at petabyte levels
• Own the data product lifecycle: design tracking plans, develop data models, build ELT pipelines, and deliver self-serve insights (Looker explores and dashboards)
• Ensure data quality and consistent metric reporting across multiple data products
• Use the modern data stack (BigQuery, dbt, Looker) to implement and optimize analytics solutions
• Provide technical leadership and mentor team members while driving adoption of best practices

Requirements

• 5+ years of experience in data analytics or data engineering roles
• Exceptional SQL skills
• Deep expertise with the modern data stack: BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, and command-line workflows
• Strong data modeling knowledge (e.g., Kimball methodology, star schemas)
• Ability to translate business needs into advanced analytics solutions and maintain strong business context

Culture & Benefits

• Hybrid work setup in Mexico City
• Fast-paced, growth-oriented environment focused on building self-serve insights for game production and operations
• Supportive, diverse workplace with respect for all backgrounds
• Team culture includes fun activities (e.g., Ping Pong, Mario Kart) as a bonus

Hiring process

• Apply through hirify.global’s official website
• Interviews and evaluation of technical fit for analytics engineering and data stack expertise