Lead the in-house ML data platform: collect, store, transform, access.
Architect and optimize scalable data workflows and pipelines.
Establish best practices for data handling, storage, and processing in ML/analytics.
Develop internal tools to automate data processes at scale.
Collaborate with product, MLOps, and data science teams.
Mentor and guide a team of data engineers.

🎯 Requirements

5+ years in data engineering; 2+ years in lead/senior roles.
Expert in Python 3 and data tools (Pandas, PySpark).
Hands-on with data storage: AWS S3, data lakes, data warehouses.
Proficient in orchestration tools: Dagster, Airflow.
Experience with streaming: Kafka, Spark.
Based in Barcelona or willing to relocate to Barcelona.

🎁 Benefits

Continuous learning and growth opportunities.
Make a lasting impact with a global company.
Solve exciting challenges with mentors and peers.
Fun, collaborative team culture.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot