Staff Analytics Engineer

Stack

Responsibilities

• ▹Lead the design and evolution of core analytical data models across key business domains
• ▹Define and champion analytics engineering standards (modeling patterns, naming conventions, testing, documentation)
• ▹Build and optimize robust ETL/ELT pipelines handling multi-terabyte data volumes reliably and performantly
• ▹Own and evolve the BI and semantic layer (Looker/LookML) for intuitive, performant, self-service analytics
• ▹Partner with Data Scientists, Product Managers, and Engineers to streamline workflows and reduce duplicated logic (SSOT)
• ▹Drive data quality, reliability, and governance initiatives for decision-critical datasets
• ▹Influence company-wide data strategy to support experimentation, marketplace growth, and personalization
• ▹Work with the engineering team to provide data products for Experimentation, Engineering, and Applied AI teams
• ▹Act as technical leader and mentor within the Analytics Engineering discipline

Requirements

• ▹Extensive experience in analytics engineering, data engineering, or related roles on complex, high-impact data systems
• ▹Expert-level SQL proficiency, with Python experience in data workflows
• ▹Proven track record designing scalable analytical data models supporting experimentation, reporting, and decision-making
• ▹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, translating ambiguous problems into clear, data-backed solutions
• ▹Exceptional communication skills, influencing technical and non-technical stakeholders
• ▹Proactive, strategic mindset, focused on improving systems and standards
• ▹English fluency at 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 with AWS or Google Cloud data ecosystems
• ▹Previous experience mentoring or coaching other data professionals

Soft skills

About the company

Preply is an ed-tech company delivering human-led, tech-enabled language learning experiences: 100,000+ tutors teach 90+ languages to learners in 180 countries. The company recently reached unicorn status with a $150M Series D and is shaping the future of education at global scale.