Senior Data engineer (Python, AI) to $8000

We’re hiring a Senior Data Engineer for Quicklizard, a fast-growing SaaS company helping global retailers make smarter, real-time pricing decisions. Their AI-driven platform is used across 40+ markets, serving industries like fashion, beauty, and electronics.

 

About the Role: 


As a data engineer you’ll have end-to-end ownership - from system architecture and software

development to operational excellence.

 

Key Responsibilities: 

 

  • Design and implement scalable machine learning pipelines with Airflow, enabling efficient parallel execution.
  • Enhance our data infrastructure by refining database schemas, developing and improving APIs for internal systems, overseeing schema migrations, managing data lifecycles, optimizing query performance, and maintaining large-scale data pipelines.
  • Implement monitoring and observability, using AWS Athena and QuickSight to track performance, model accuracy, operational KPIs and alerts.
  • Build and maintain data validation pipelines to ensure incoming data quality and proactively detect anomalies or drift.
  • Collaborate closely with software architects, DevOps engineers, and product teams to deliver resilient, scalable, production-grade machine learning pipelines.

 

Required Competence and Skills:

 

  • A Bachelor’s or higher in Computer Science, Software Engineering or a closely related technical field, demonstrating strong analytical and coding skills.
  • At least 5 years of experience as a data engineer, software engineer, or similar role and using data to drive business results.
  • At least 5 years of experience with Python, building modular, testable, and production-ready code.
  • Solid understanding of SQL
  • Practical experience with Airflow or similar orchestration frameworks, including designing, scheduling, maintaining, troubleshooting, and optimizing data workflows (DAGs).
  •  A solid understanding of data engineering principles: ETL/ELT design, data integrity, schema evolution, and performance optimization.
  • Familiarity with AWS cloud services, including S3, Lambda, Glue, RDS, and API Gateway.

 

 

Published 30 April
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