Senior Data Engineer - Machine Learning

Join Our Team as a Senior Data Engineer - Machine Learning

At Preply, we are committed to unlocking human potential through learning. We believe that learning with a great tutor is life-changing, and we are on a mission to match online tutors from across the globe with learners, empowering them to create live language classes with AI-powered tools and learning materials. Our Data Strategy team plays a crucial role in this mission by collecting and processing information from multiple sources and making it available to the organization through our self-service analytics layer.

About the Role

As a Senior Data Engineer specializing in Machine Learning, you will be a key player in our Data Strategy team. You will work closely with our data scientists and machine learning teams to build and operationalize critical ML models. Your expertise will guide the development of our MLOps framework, ensuring that our ML capabilities are extended to multiple teams, enabling reusability and standardization.

Key Responsibilities

• Enable DS/ML Teams: Assist data science and machine learning teams in building and operationalizing their critical ML models.
• Develop the MLOps Framework: Extend ML capabilities across teams through an effective MLOps framework.
• Scale and Evolve Infrastructure: Enhance our multi-tiered data infrastructure focusing on cost efficiency, performance optimization, scalability, and reliability.
• Design Future-Ready Solutions: Develop strategies to meet current requirements while anticipating the evolving needs of our internal ML platform.
• Mentor Data Engineers: Serve as a mentor to fellow Data Engineers, fostering their professional growth.
• Collaborate with the Data Platform Team: Ensure seamless integration and expansion of our data models.
• Enhance Data Processing: Improve data ingestion and processing capabilities in our data lake, data warehouse, and ML platform.
• Implement Data Quality Measures: Ensure the integrity and reliability of our data assets.

What You Need to Succeed

• Bachelor's or Master's Degree in Computer Science or Engineering, or equivalent work experience.
• Previous experience as a Senior Data Engineer or in a similar role.
• Strong coding skills in Python or Scala, with proficient SQL experience.
• Experience with distributed bulk data processing frameworks like Spark or Presto.
• Experience in setting and scaling DataBricks in a medium-sized organization.
• Proficiency in maintaining cloud-based, high-volume distributed data processing platforms, such as AWS or GCP.
• Kubernetes proficiency for deploying and supporting tooling.
• Excellent written and verbal communication skills in English.

Nice to Have

• Experience in scaling startup infrastructures.
• Familiarity with coordination tools like Airflow, Luigi, or Jenkins.
• Understanding and proficiency in Terraform for infrastructure-as-code.
• Experience building production ML pipelines using Python (PySpark) or Scala (Spark).

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 self-development.
• A competitive financial package with equity, leave allowance, and health insurance.
• 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.

Join us in our mission to unlock the potential of learners and tutors through language learning and teaching in 175 countries. Apply today to be part of a team that is passionate about making a difference in the world of education.