QA Data Engineer Lead

We are hiring a QA Data Engineer Lead to join our team and work on designing, implementing, and validating data pipelines in streaming and batch. The ideal candidate will have experience in data pipelines, modeling, and technical and business validation, and be passionate about creating robust data solutions.

Requirements

• Excellent communication skills for different audiences
• Proven experience in data requirement gathering and analysis
• Solid knowledge of Data Modeling (with emphasis on dimensional modeling)
• Fluency in Python (dataset cleaning and processing)
• Ability to establish lasting and transparent relationships
• Experience in modern data architectures (streaming or real-time), ideally with Kafka, AWS Kinesis, or Snowflake Dynamic Tables (valued)

Benefits

• Hybrid model (1x a week in the office, rest of the time remote)
• Direct involvement in data and quality strategic decisions
• Dynamic, innovative, and collaborative work environment
• Opportunities for growth and professional development
• Participation in challenging and international projects
• Competitive and experience-adjusted salary package