L1 Data Engineer - Remote

About the role

We are looking for a motivated and technically solid L1 Data Engineer to join our growing Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining the data architecture and infrastructure that supports our organization's data strategy. You will work hands-on to develop, test, and deploy reliable data solutions — ensuring pipelines are scalable, efficient, and aligned with business requirements.

What you'll do

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support business intelligence and analytics use cases
• Build and optimize data ingestion processes using Azure Data Factory and Databricks, ensuring data quality and consistency across all layers of the data platform
• Transform and process large datasets using PySpark and Python, applying best practices for performance and maintainability
• Write and optimize complex SQL queries to support analytical reporting and data validation requirements
• Collaborate with data architects and senior engineers to implement and maintain data models aligned with organizational standards

What you need

• 3–6 years in data science & ai
• SQL
• Python
• ETL
• Pandas
• Databricks
• Spark
• Any graduate

Good to have

• SQL Server
• CI/CD
• Terraform
• Azure Data Factory
• Azure
• Root cause analysis