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Data Engineer

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1 Vacancy
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Job Location drjobs

Barcelona - Spain

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We power peoples progress.

At Preply were all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor craft a personalized learning journey and stay motivated to keep growing. Our approach is human-led tech-enabled - and its creating real impact. So far 90000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change fuels ambition and drives progress that matters.

Meet the team!

At Preply data is at the heart of every decision we make from optimizing tutor-learner matching to scaling personalized learning experiences across the globe. With hundreds of A/B experiments running concurrently and vast volumes of behavioral transactional and interactional data generated daily our platform presents a rich and complex data ecosystem.

As a Data Engineer you will be joining us at a high-growth inflection point. This role offers a rare opportunity to shape the foundations of our next-generation data. You will design scalable pipelines establish robust data quality practices and drive the architectural evolution that will enable real-time experimentation ML-driven personalization and faster iteration cycles. Your work will directly empower our data scientists product teams and leadership to make smarter faster decisions that impact millions of learners worldwide.

Were looking for someone who is excited to build own and elevate a world-class data platform and who sees data engineering not just as a technical challenge but as a strategic force multiplier for the entire company.

Why youll love this role:

  • Shape the future of Data at Preply: Play a critical role in defining and scaling our Data Engineering practices establishing foundational architectures that drive lasting impact.
  • End-to-end ownership: Own and optimize the complete data platform from ingestion and orchestration to storage transformation and retention ensuring reliability scalability and efficiency.
  • Cutting-edge technology: Engage with a sophisticated data stack using Airflow dbt Snowflake Databricks Kafka Kubernetes Cursor and explore emerging technologies to address evolving business needs. Check out our Tech Radar for more info!
  • High-impact collaboration: Collaborate deeply different job functions to maximize data accessibility enhancing teams autonomy.
  • Growth and learning: Deepen your expertise in big data architectures cloud-native computing Kubernetes and real-time data processing - all within a fast-paced innovation-driven startup environment.

What youll be doing:

  • Infrastructure scaling: Optimize and scale our data infrastructure focusing on performance cost efficiency reliability and future-proofing.
  • Data strategy alignment: Collaborate to evolve and refine data models and architectural frameworks smoothly.
  • ETL & Data processing: Architect and optimize complex ETL pipelines integrating multiple data sources efficiently and reliably.
  • Data Platform ownership: Manage and evolve our multi-terabyte data lake and warehouse driving accessibility and discoverability within our Data Platform through innovation and optimization.
  • Technical guidance: Support and guide data and AI scientists in optimizing pipelines reducing redundancy and improving efficiency and effectiveness.
  • Data quality management: Drive the selection implementation and optimization of data validation quality assurance and governance tools/processes.

What you need to succeed:

  • At least 5 years of hands-on experience in data engineering
  • Strong proficiency in SQL Python and Spark for data processing and pipeline development.
  • Hands-on experience with technologies like dbt Airbyte Databricks Snowflake Kubernetes and Airflow.
  • Extensive experience with high-volume data ingestion techniques (e.g. CDC) and familiarity with third-party ingestion tools.
  • Proven expertise building mature Data Platforms with ETL orchestration frameworks and modern data transformation practices following best-practices data modelling.
  • Solid understanding and experience working within cloud-based data ecosystems.
  • Exceptional problem-solving skills paired with a proactive innovative mindset focused on continuous improvement.
  • Ability to collaborate effectively across teams with security engineering and data.
  • Fluent written and verbal English communication skills (C1 level or above).

Nice to have:

  • Previous success in scaling data infrastructures within fast-growing startups.
  • Proven experience designing and implementing real-time data infrastructures.
  • Experience developing the foundational data architecture for a ML Platform.
  • Expertise with AWS or Google Cloud data ecosystems.

Why youll love it at Preply:

Our Principles

Diversity Equity and Inclusion

Preply is committed to creating a diverse and inclusive environment where people from all backgrounds can thrive. Different opinions and viewpoints are key ingredients in our success as a multicultural Ed-Tech company.

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. Together we are The World Class.

#LI-VS1

Employment Type

Full Time

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