Senior Data Developer (Analytics Engineer)

📋 Description

• Business Translation: Translate stakeholder needs into clear AI/analytics specs.
• End-to-End Product Ownership: Own data products from ingestion to delivery and monitoring.
• Data Quality Assurance & Validation: Implement validation, tests, and data accuracy.
• Data Modeling & Transformation: Design data transformations for dashboards/AI.
• AI Enablement & Data Structuring: Prepare data, dictionaries, and models for AI.
• Full-Stack Data Development: Build ingestion pipelines; SQL/Python transformations; scalable.

🎯 Requirements

• Proven experience in a Data Engineering or Analytics Engineering role at senior level.
• Advanced proficiency in SQL and Python for data analysis, transformation, and validation.
• Solid experience in data modeling and data warehouse design.
• Hands-on experience with BigQuery (or other cloud data warehouse).
• Demonstrated ability to understand complex business logic and validate results.
• Strong ownership and proactive mindset; proposes improvements and challenges requirements.

🎁 Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Profit Sharing and Results Participation (PLR)
• Life insurance