Senior Analytics Engineer

Preply; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Learning & Development budget

Health insurance

Relocation package (Barcelona hub)

Gympass wellness access

Equity

Job summary

Preply is seeking an Analytics Engineer to shape our critical data models, streamline pipelines, and optimize analytics across the company. You will own the architecture from ingestion to modeling, ensuring accuracy, scalability, and high-quality datasets for business insights.

You will work with SQL/Python, Looker LookML, DBT, Airflow, and Snowflake, partnering with data scientists, analysts, and engineers to drive data-driven decision-making and robust governance.

Qualifications

• 5+ years in analytics engineering or data engineering.
• Proficient SQL and Python with strong data modeling skills.
• Deep knowledge of data governance and scalable self-service analytics.
• Experience shaping data models, pipelines, and BI layers (Looker).
• Able to influence stakeholders and drive data-driven decisions.

Responsibilities

• Lead architecture and evolution of complex data models for clarity, scalability, and reliability.
• Develop and optimize ETL/ELT pipelines for multi-terabyte datasets.
• Own and enhance Looker/LoveLookML layer for self-serve analytics.
• Collaborate with data science teams to optimize analytical workflows and governance.
• Champion version control, CI/CD for analytics, and data quality monitoring.
• Document data strategies to support rapid product growth and experiments.

Skills

SQL

Python

Data modeling

Looker/LookML

DBT

Airflow

Snowflake

Data governance

Stakeholder communication

Tools

Looker

DBT

Airflow

Snowflake

AWS/GCP

Job description

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.
• Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics.
• Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring direct business impact.
• Strategic mindset, high creativity, and an initiative-driven approach to developing and evaluating cutting-edge solutions.
• Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders.

Nice to have

• Experience leading and scaling data infrastructure within rapidly growing startups.
• Advanced hands-on expertise with DBT, Looker, or Airflow.
• Proven experience in defining and standardizing event taxonomies and KPIs within medium-to-large organizations.
• Strong experience in AWS or Google Cloud data ecosystems.

Why you’ll love it at Preply

• An open, collaborative, dynamic and diverse culture;
• A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
• A competitive financial package with equity, leave allowance and health insurance;
• Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub
• Access to free mental health support platforms;
• Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;
• The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

• 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.
• Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
• Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
• Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
• Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
• Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
• One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion

Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.