onsite
Senior Data Engineer - Pricing
Data Engineer
Lead end‑to‑end data pipelines for pricing models on Azure, driving automation, scalability, and reliability using Azure Data Factory, CI/CD practices, and Agile delivery.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines for pricing analytics on Azure.
- Implement Azure Data Factory workflows, ensuring data quality and performance.
- Automate deployment and testing using CI/CD pipelines (Azure DevOps or equivalent).
- Collaborate with cross‑functional teams in an Agile environment to deliver incremental improvements.
- Monitor, troubleshoot, and optimize data processes for reliability and cost efficiency.
Requirements
- 5+ years of experience in data engineering with a focus on Azure services.
- Proficiency in Azure Data Factory, Azure Data Lake, and related Azure data services.
- Strong scripting skills (Python, PowerShell, or Bash) and experience with CI/CD tooling.
- Solid understanding of data modeling, ETL best practices, and performance tuning.
- Excellent communication skills and ability to work in a fast‑paced Agile team.