Requirements

Expected technologies

Python

Databricks

Microsoft Azure

Our requirements

• 8+ years of data engineering experience, including traditional data warehouse and ETL systems (Informatica experience preferred but not mandatory)
• Proven hands-on expertise with: PySpark and Python, Databricks, Microsoft Azure (or comparable cloud platforms)
• Strong understanding of data modeling, pipeline orchestration and data performance optimization

Optional

• Experience in large-scale data migration projects
• Familiarity with CI/CD practices in data engineering
• Understanding of data governance and security in cloud environments

Your responsibilities

• Lead the migration of traditional ETL workflows from on-premise systems (e.g. Informatica) to Azure-based data solutions
• Plan, analyze and execute migration tasks, ensuring optimal performance and minimal business disruption
• Partner with business stakeholders, DevOps and infrastructure teams to define requirements, timelines and priorities
• Develop and modernize data pipelines using modern frameworks and technologies
• Support innovation initiatives in data engineering, driving continuous improvement and adoption of best practices