Staff Analytics EngineerLocationBarcelonaEmployment TypeFull timeLocation TypeHybridDepartmentDataWe 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 integral 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 runhundreds of A/B tests at any given time, power a complextwo-sided marketplace, and increasingly rely on data to enableAI-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 aStaff Analytics Engineer, you will play a critical role inshaping 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 doingLead thedesign and evolution of core analytical data modelsacross key business domains, ensuring clarity, scalability, and long-term sustainability.Define and championanalytics engineering standards(modeling patterns, naming conventions, testing strategies, documentation) used across the organization.Build and optimizerobust ETL/ELT pipelinesthat handle multi-terabyte data volumes with high reliability and performance.Own and evolve ourBI and semantic layer(Looker / LookML), enabling intuitive, performant, and truly self-service analytics.Partner closely withData Scientists, Product Managers, and Engineersto streamline analytical workflows and reduce duplicated logic (SSOT).
Drive initiatives focused ondata quality, reliability, and governance, ensuring decision-critical datasets are trustworthy and well-documented.Influence company-widedata strategyto support rapid product experimentation, marketplace growth, and large-scale personalization.Work closely with the engineering team to provide valuable data products forExperimentation, Engineering and Applied AI teams.Act as atechnical leader and mentorwithin the Analytics Engineering discipline, raising the bar through example, reviews,



and architectural guidance.What you need to succeedExtensive experience in analytics engineering, data engineering, or related roles, operating oncomplex, high-impact data systems .
Expert-level proficiency inSQL, with experience usingPythonin data workflows.Proven track record ofdesigning scalable analytical data modelsthat support experimentation, reporting, and strategic decision-making.Advanced hands?on experience withdbt, Looker, Airflow, or similar tools .
Deep understanding ofdata 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 toinfluence and align stakeholdersacross 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).
Nice to haveExperience scaling data platforms inhigh-growth or post-Series C startups .
Proven experience defining and standardizingevent taxonomies, KPIs, and canonical metrics .
Strong experience working withAWS or Google Clouddata ecosystems.Previous experience mentoring or coaching other data professionals.
#LI-VL1Our PrinciplesCare 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 ev

📌 Staff Analytics Engineer Location: Barcelona (España)
🏢 Preply
📍 España