Data Engineer (Azure Databricks) - Remote Work

About the role

As a Data Engineer specializing in Azure Databricks, you will design and maintain scalable data architecture within the Microsoft cloud ecosystem. You will act as a bridge between raw data sources and actionable insights, enabling high‑performance analytics and reporting.

Key responsibilities

• Design, develop, and maintain automated data pipelines for large‑scale ingestion and transformation using Azure Databricks.
• Implement and optimise ETL/ELT processes to convert raw data into structured formats for downstream consumption.
• Build and manage data lakehouse architectures, ensuring consistency and reliability across storage layers.
• Collaborate with analysts and data scientists to define data requirements and develop models supporting complex business queries.
• Monitor pipeline performance, troubleshoot bottlenecks, and ensure platform stability.
• Apply data governance and quality controls to maintain high standards of data integrity and security in Azure.

Required profile

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise building data pipelines on Azure Databricks.
• Advanced proficiency in SQL for data transformation and optimisation.
• Strong understanding of Azure‑native services and cloud data architecture.
• Hands‑on experience supporting analytics and reporting workflows.
• Advanced proficiency in English.

Required skills

• Azure Databricks
• SQL
• Azure cloud services

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible schedule – create your own working hours.
• Paid parental leave, vacations, and national holidays.
• Innovative, multicultural environment with mentorship, promotions, and skill‑development opportunities.