Analytics Engineer

Preply Inc.
Municipality of Madrid, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Municipality of Madrid, Spain

Tech stack

Airflow
Amazon Web Services (AWS)
Information Engineering
Data Governance
Data Infrastructure
Data Integrity
Python
SQL Databases
Google Cloud Platform
Looker Analytics
Software Version Control

Job description

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

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

Benefits & conditions

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). 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 the key ingredient for our success as a multicultural Ed-Tech company. That means Preply will consider all applications for employment without regard to race, color

About the company

Why You'll Love This Role Cutting-edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, MonteCarlo, 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

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