Data Engineer (Azure Databricks) – Remote

About the role

As a Data Engineer specializing in Azure Databricks, you will design and maintain scalable data architectures within the Microsoft cloud ecosystem. You will bridge raw data sources and actionable insights, ensuring high‑performance analytics and reporting for global clients.

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, guaranteeing data consistency 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 uphold data integrity and security in Azure.

Required profile

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise building data pipelines and ingestion systems on Azure Databricks.
• Advanced proficiency in SQL for data transformation, cleaning, 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 (e.g., Azure Data Lake, Azure Synapse)
• ETL/ELT pipeline development
• Data lakehouse architecture
• Data governance and quality controls

What we offer

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