Data Engineer Semi Senior

📋 Description

• Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks
• Defines and maintains data contracts, quality rules, and data SLOs for each data product.
• Guides domain teams on data modeling and data product boundaries (what belongs to which
• Trains, mentors and pairs with domain engineers/analysts on data product ownership and good
• Captures feedback and best practices from domains and feeds improvements back into platform

🎯 Requirements

• Experience in Data Engineering, including building and optimizing data pipelines.
• Experience working with Databricks, Python, and Spark, building batch and streaming.
• Basic/Intermediate level of English.
• Familiarity with a BI visualization tool like Looker or Tableau.

🎁 Benefits

• Remote-first culture – work from anywhere!
• In-Company English Lessons.
• Wellhub or sports club stipend to stay active
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• Food credits via Pedidos Ya – great meals
• Birthday off + an extra vacation week