Data Engineer – Azure Databricks & Python (Remote)

About the role

We are looking for a Data Engineer to design and develop scalable data pipelines on Azure Databricks using Python. The role focuses on integrating AI and large‑language‑model APIs 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 processing streams for automated classification.
• Write 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 pipeline performance, troubleshoot issues, and ensure reliability and scalability.
• Implement data‑governance and security best practices.

Required profile

• 4+ years of experience in Data Engineering, Machine‑Learning Engineering, or Software Engineering.
• Proven expertise 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
• Cloud‑native data architectures
• Data governance
• Data pipelines & Lakehouse design

What we offer

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