Senior Analytics Engineer — Playgami Data Platform (Hybrid)

Scopely; Ciudad de México; Hybrid; MXN 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Scopely is seeking a Senior Analytics Engineer for the Playgami team in Mexico City on a hybrid basis. You will lead data products, design tracking plans, develop data models, ELT pipelines, and self-serve dashboards using Looker and BigQuery.

You will mentor teammates, ensure data quality, collaborate with product and engineering teams, and help scale data solutions across the organization in a fast-paced gaming environment.

Qualifications

• Minimum 5 years in data analytics or engineering roles.
• Strong SQL skills and data modeling knowledge (Kimball, star schemas).
• Experience delivering self-serve analytics solutions and dashboards.

Responsibilities

• Lead and collaborate to develop self-serve insight products at scale.
• Design tracking plans, build data models, ELT pipelines, and dashboards.
• Guard data quality and ensure consistent metric reporting.
• Use BigQuery, dbt, and Looker in the stack.
• Provide technical leadership and mentor teammates.
• Contribute across the data stack and lifecycle.

Skills

SQL

Data modeling

Mentoring

Stakeholder collaboration

Data product thinking

Tools

BigQuery

Snowflake

dbt

Looker

Airflow

GitHub

command line workflows

Job description

Scopely is seeking a Senior Analytics Engineer for the Playgami team in Mexico City on a hybrid basis. You will lead data products, design tracking plans, develop data models, ELT pipelines, and self-serve dashboards using Looker and BigQuery.

You will mentor teammates, ensure data quality, collaborate with product and engineering teams, and help scale data solutions across the organization in a fast-paced gaming environment.