Staff Analytics Engineer

Навыки

• Airflow
• AWS
• BI-инструменты
• Коммуникация
• Data Quality
• dbt
• DWH

О компании и продукте

• Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
• We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
• Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
• Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.

Задачи

• Lead the design and evolution of core analytical data models across key business domains, ensuring clarity, scalability, and long-term sustainability
• Define and champion analytics engineering standards (modeling patterns, naming conventions, testing strategies, documentation) used across the organization
• Build and optimize robust ETL/ELT pipelines that handle multi-terabyte data volumes with high reliability and performance
• Own and evolve our BI and semantic layer (Looker / LookML), enabling intuitive, performant, and truly self-service analytics
• Partner closely with Data Scientists, Product Managers, and Engineers to streamline analytical workflows and reduce duplicated logic (SSOT)
• Drive initiatives focused on data quality, reliability, and governance, ensuring decision-critical datasets are trustworthy and well-documented
• Influence company-wide data strategy to support rapid product experimentation, marketplace growth, and large-scale personalization
• Work closely with the engineering team to provide valuable data products for Experimentation, Engineering and Applied AI teams
• Act as a technical leader and mentor within the Analytics Engineering discipline, raising the bar through example, reviews, and architectural guidance
• WE POWER PEOPLE’S PROGRESS
• At Preply, we’re all about creating life-changing learning experiences
• As a Staff Analytics Engineer, you will play a critical role in shaping the analytical foundations of Preply
• You’ll operate at a company-wide level, setting standards, designing scalable data models, and influencing how analytics engineering is practiced across teams
• This is a role for someone who wants to build systems that others build on
• Our Data Team https://www.linkedin.com/posts/preply_data-team-uncovered-activity-7232342101730971652-3ate/?utm_source=share&utm_medium=member_desktop is dedicated to empowering top-quality decision-making
• Do you want to know how?
• Visit our Tech Radar https://tech-radar.preply.com/ to learn about the technologies we use at Preply!

Требования

• Extensive experience in analytics engineering, data engineering, or related roles, operating on complex, high-impact data systems
• Expert-level proficiency in SQL, with experience using Python in data workflows
• Proven track record of designing scalable analytical data models that support experimentation, reporting, and strategic 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, with the ability to translate ambiguous problems into clear, data-backed solutions
• Exceptional communication skills, with the ability to influence and align stakeholders across technical and non-technical teams
• A proactive, strategic mindset, you look beyond immediate tasks to improve systems, standards, and long-term outcomes
• Fluency in English (C1 level or above)

Будет плюсом

• 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

Условия

• We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning
• Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started
• As a category-defining company, we’re shaping what the future of learning looks like at global scale
• Every Preply lesson sparks change, fuels ambition, and drives progress that matters
• Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day
• MEET THE TEAM!

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