Preply
Staff Analytics Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · London
Employer listed it 8 months ago · Added yesterday
Been open since 8 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · London
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Data
This employer didn't state pay. Jobs like this usually pay around $185k–$265k a year, a typical range taken from 158 lead-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around London, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "London, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
We power people’s progress.
At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.
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!
At Preply, data is foundational to how we build, experiment, and scale our product. We run hundreds of A/B tests at any given time , power a complex two-sided marketplace , and increasingly rely on data to enable AI-driven personalization and decision-making .
Our analytics platform supports teams across Product, Growth, Finance, and Engineering/AI, and its quality directly impacts the speed and confidence of company-wide decisions.
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 is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply!
What you’ll be doing
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.
What you need to succeed
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 .
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Preply, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
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Free to apply, no account needed.
Typically $185k–$265k · You'll be taken to the employer's careers page.