Senior Data Engineer

About the role

Kraft Heinz is looking for a Senior Data Engineer to lead a cross-functional delivery team in Mexico City. You will build and maintain the framework and platform capabilities behind data pipelines and analytics solutions, take design ownership of projects, run day-to-day team activities and help enable community-of-practice and onboarding programs.

Key responsibilities

• Lead and mentor a team of data engineers, taking design ownership of projects end-to-end
• Run scrum ceremonies, sprint planning and backlog management
• Own modern data engineering solutions: ingestion, processing, integration and governance
• Build shared data engineering frameworks and support onboarding of new engineers, analysts and product owners
• Contribute to upskilling, certification and knowledge-sharing programs, and act as data owner and subject matter expert
• Keep platforms stable and meet operational SLAs, reduce manual intervention and extend DevOps capabilities
• Support the adoption of AI and LLM-based tooling to improve efficiency and data quality

Required profile

• Bachelor's degree or higher in Computer Science, Statistics, Business, Information Technology or a related field
• 5+ years in data engineering or a related discipline, with at least 2 years in a technical lead or team lead capacity
• Track record delivering software and data engineering capabilities in a fast-paced environment, and experience building shared data frameworks and data assets for mission-critical applications
• 5+ years building enterprise data solutions

Required skills

• Data modelling, schema design and pipeline architecture
• Core Python and advanced SQL; dbt experience is a plus
• DevOps and cloud (Azure, AWS or GCP), including CI/CD and deployment practices
• Agile and Scrum, automated testing and data testing frameworks
• Preferred: Dagster, dbt and Snowflake, medallion architecture, data quality frameworks and data product concepts