Preply
Senior Analytics Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Barcelona
Employer listed it 15 months ago · Added yesterday
Been open since 15 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Barcelona
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-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 Barcelona, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Barcelona, 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, we run hundreds of A/B tests at any given time, each with unique tracking and analytical challenges. Our platform spans a diverse product ecosystem, with sophisticated tutor-learner interactions that generate a vast amount of data. This creates an exciting, high-impact environment where data engineering plays a crucial role in shaping our business decisions.
We are passionate about building a modern data infrastructure that enables our teams to extract insights, optimize experiments, and power innovation. As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimize our analytics stack to empower decision-making across the company.
Why You’ll Love This Role
Cutting-edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, and help shape our future tech choices.
End-to-End impact: own and evolve the entire data pipeline, from ingestion to transformation and modeling, ensuring accuracy, scalability, and performance.
Cross-team collaboration: partner with data scientists, analysts, and engineers to create high-quality, actionable datasets for business insights.
Continuous learning & growth: be part of a data-driven culture where innovation, best practices, and ownership drive success.
What you will be doing
Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability.
Develop and optimize sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi-terabyte data ecosystem.
Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self-service analytics.
Provide technical leadership in collaboration with data science teams to optimize analytical workflows, reduce redundancy, and enforce robust data governance.
Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring.
Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision-making.
Strategically influence and drive company-wide data strategies supporting rapid product growth, sophisticated experimentation, and large-scale personalization initiatives.
What you need to succeed
5+ years of hands-on experience in analytics engineering, data engineering, or related fields.
Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimizing data models.
Deep understanding of advanced data governance frameworks, modeling best practices, and implementation of scalable self-service analytics platforms.
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 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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