Senior Data Engineer

Foodics is looking for a Senior Data Engineer to design and implement scalable ETL/ELT pipelines, data contracts, and processing frameworks for analytics and ML features across the company. The successful candidate will work closely with ML Engineers and platform teams to ensure the reliability, scalability, and governance of the data infrastructure.

Requirements

• 5+ years of experience in data engineering
• Strong command of Python, SQL, and orchestration tools (e.g., Airflow, AWS Glue, Step Functions)
• Experience with modern Lakehouse architecture and tools (e.g., S3, Redshift, Snowflake, dbt)
• Deep understanding of data modeling, lineage, observability, and governance frameworks
• Familiarity with ACID-compliant data formats such as Apache Iceberg, Delta Lake, or Apache Hudi
• Experience building fault-tolerant, testable, and maintainable pipelines in production environments
• Proven ability to work in cross-functional teams
• Familiar with CI/CD and infrastructure-as-code (Terraform/CDK preferred)
• Strong communication skills and a mindset focused on documentation, standards, and continuous improvement

Benefits

• Highly competitive compensation package
• Bonus
• Potential for shares
• Regular training
• Annual learning stipend
• Autonomy
• Mentoring
• Challenging goals
• Diverse and inclusive culture
• Opportunity to work with a talented team of over 30 nationalities