Senior Python Data Engineer

Recruitment Intelligence; Islamabad; On-site; PKR 2,000,000 - 4,200,000; Full time

Benefits offered by this job

Medical benefits for you and family

Free lunch

Annual performance-tied increments

Lean and agile work culture

Job summary

Convo is seeking a Python Data Engineer with 3+ years of production data engineering experience. You will maintain and enhance Python/SQL pipelines orchestrated via Airflow or Azure Data Factory, implement quality and schema checks, and troubleshoot pipeline issues to ensure reliable data flows.

You will also monitor data freshness, perform incident triage, support Spark jobs, and contribute to documentation and runbooks for operational stability.

Qualifications

• 3+ years in production data engineering or data-pipeline operations.
• Strong Python and SQL for data engineering.
• Experience with Airflow, Azure Data Factory or equivalent.
• Knowledge of Spark and distributed data-processing concepts.
• Data-quality and schema-validation implementation.
• Monitoring, incident triage and root-cause analysis.

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.

Job description

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.

Technical mission

Maintain data pipelines, implement schema-validation automation and resolve operational incidents within the approved platform architecture.

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 technical capabilities

• 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.

Preferred experience

• Databricks, Delta Lake and cloud storage patterns.
• On-call or production-support experience for data platforms.
• CPG, retail or enterprise-source data.
• Stable pipelines meeting agreed freshness and quality thresholds.
• Automated validation and monitoring coverage.
• Closed incidents with documented root cause and preventive action.
• Updated runbooks and maintainable handover documentation.

Primary interfaces

Works with Senior Data Engineers, Telemetry Support, connector teams and platform operations.

What We Have For You

Great compensation package, medical benefit for you and your family, free lunch, annual performance-tied increments & performance recognition awards and a great lean and agile work culture!

Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!