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Senior Analytics Engineer

Pay
Pay not listed
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Data — team source

What you’ll work on

Full posting
  • Lead architecture and evolution of complex data models

  • Develop and optimize ETL/ELT pipelines for a multi-terabyte data ecosystem

  • Own and enhance the Looker BI layer for self-service analytics

  • Champion CI/CD, version control and automated data quality monitoring

  • Drive data reliability, accuracy and documentation for business decisions

From the employer’s posting
Lead the architecture, design, and evolution of complex data models
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)
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
Apply at Preply

Posting record

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Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026155 days ago
Recorded sightings
271
Last seen by us
Nov 4, 2026
Employer says posted
Apr 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 155

Up longer than most. Similar jobs usually come down between day 6 and day 47.

Well past Preply’s usual: its jobs come down by about day 38.

From 1,417 similar postings that came down, and 16 of Preply’s. Coming down is not always a hire.

Preply is hiring

23 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Databricks
  • dbt
  • Looker
  • Snowflake
  • Airflow
  • GCP
Where the posting names them
- 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.
- 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
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.
- 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.
- 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.

Your next step

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

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  • No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.

Already applied? Track this application

Has Preply posted this job before?

Yes. We’ve followed one other Senior Analytics Engineer job there since June 2026. It is still up.

  1. BarcelonaStill up after 156 days, first seen Jun 2
  2. This jobUp 156 days so far, first seen Jun 2

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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;

  • Access to free mental health support platforms;

  • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)

    #LI-VL1

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.

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Kyiv, Ukraine

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