Senior Python Data Engineer

About the role

Convo is looking for Python Data Engineers with 3+ years of experience in production data engineering and pipeline operations. The ideal candidate should have strong expertise in Python, SQL, Airflow/Azure Data Factory, Spark, data quality, schema validation, and monitoring, with the ability to troubleshoot pipeline issues, maintain reliable data workflows, and ensure data quality, freshness, and operational stability.

Key responsibilities

• Maintain and enhance Python/SQL pipelines orchestrated through Airflow, Azure Data Factory or equivalent.
• Implement schema, completeness, freshness and reconciliation checks.
• Diagnose and resolve pipeline failures, data-quality incidents and performance regressions.
• Support Spark jobs and incremental data‑processing patterns.
• Add monitoring, structured logging and actionable alerts.
• Document fixes, recurring failure patterns and operational procedures.

Required profile

• Minimum experience: 3+ years in production data engineering or data‑pipeline operations using Python and SQL.
• Production Python and SQL for data engineering.
• Airflow, Azure Data Factory or comparable workflow orchestration.
• Working knowledge of Spark and distributed data‑processing concepts.
• Data‑quality and schema‑validation implementation.
• Monitoring, incident triage and root‑cause analysis.
• Version control, automated testing and controlled deployment practices.

Required skills

• Python
• SQL
• Airflow
• Azure Data Factory
• Spark
• Data quality
• Schema validation
• Monitoring
• Structured logging
• Version control
• Automated testing
• Controlled deployment
• Databricks
• Delta Lake
• Cloud storage

What we offer

• Great compensation package
• Medical benefit for you and your family
• Free lunch
• Annual performance‑tied increments & performance recognition awards
• Lean and agile work culture