Senior Data Engineer (Analytics)

📋 Description

• Actively engage with business stakeholders to understand context, challenges, and underlying needs
• Take full responsibility for the data products you build — from ingestion through modeling
• Implement and maintain rigorous validation processes, automated testing, and quality checks; act as
• Design and implement data transformation layers that pre-aggregate business information, apply
• Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models
• Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL

🎯 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 working with BigQuery (or other cloud-based data warehouse platform)
• Demonstrated ability to understand complex business logic and validate results from a business
• Strong sense of ownership and proactive mindset — a professional who proposes improvements

🎁 Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
• Profit Sharing and Results Participation (PLR)