Data Engineer (Azure Databricks + Python) - Remote Work

About the role

We are looking for a Data Engineer who will design and develop scalable data pipelines using Azure Databricks and Python. The role focuses on integrating AI and large‑language‑model (LLM) capabilities into data workflows to automate classification and generate insights.

Key responsibilities

• Design, build, and optimise end‑to‑end data pipelines and Lakehouse architectures on Azure Databricks.
• Integrate LLM APIs and machine‑learning models into data processing streams.
• Develop and maintain high‑quality Python code and SQL procedures for data transformation and ingestion.
• Collaborate with AI and product teams to deliver data‑driven business solutions.
• Monitor, troubleshoot, and ensure reliability and scalability of pipelines in a distributed cloud environment.
• Implement data‑governance and security best practices.

Required profile

• 4+ years of experience in Data Engineering, Machine Learning Engineering, or Software Engineering.
• Proven expertise in building data pipelines with Azure Databricks and Python.
• Experience integrating ML/AI solutions and LLM APIs into automated workflows.
• Strong background in data manipulation, automation, and classification tasks.
• Deep understanding of cloud‑native data architectures and AI integration patterns.
• Advanced proficiency in English.

Required skills

• Azure Databricks
• Python
• SQL
• LLM APIs
• Machine Learning / AI integration
• Cloud‑native data architecture (Azure)

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible hours and self‑managed schedule.
• Paid parental leave, vacations, and national holidays.
• Multicultural environment with mentorship, skill development, and growth opportunities.