Staff Analytics Engineer

The role

You will lead the design and evolution of core analytical data models and set analytics engineering standards across the organization. You will build ETL/ELT pipelines, manage the BI and semantic layer, and partner with various teams to support data-driven decision-making.

What you will do

• Lead the design and evolution of core analytical data models
• Define and champion analytics engineering standards
• Build and optimize robust ETL/ELT pipelines
• Own and evolve the BI and semantic layer using Looker / LookML
• Partner with Data Scientists, Product Managers, and Engineers to streamline workflows
• Drive initiatives focused on data quality, reliability, and governance
• Influence company-wide data strategy
• Work with the engineering team to provide data products for Experimentation, Engineering and Applied AI teams
• Act as a technical leader and mentor within the Analytics Engineering discipline

Required qualifications

• Extensive experience in analytics engineering, data engineering, or related roles
• Expert-level proficiency in SQL
• Experience using Python in data workflows
• Proven track record of designing scalable analytical data models
• Advanced hands-on experience with dbt, Looker, Airflow, or similar tools
• Deep understanding of data modeling best practices, analytics architecture, and self-service BI platforms
• Strong business acumen
• Exceptional communication skills
• Proactive, strategic mindset
• Fluency in English (C1 level or above)

Nice to have

• Experience scaling data platforms in high-growth or post-Series C startups
• Proven experience defining and standardizing event taxonomies, KPIs, and canonical metrics
• Strong experience working with AWS or Google Cloud data ecosystems
• Previous experience mentoring or coaching other data professionals

About the company

Preply is a category-defining Ed-Tech company that helps people discover tutors and craft personalized learning journeys. They have reached unicorn status with a $150M Series D.