Data Engineer

Key Responsibilities

• Design, develop, and optimize data pipelines and workflows using Azure Databricks and Python.

• Implement and maintain data solutions across the Azure Data Platform (Data Lake, Data Factory, Synapse, etc.).

• Develop and maintain Data Products exposed by Unity Catalog.

• Collaborate closely with business stakeholders to gather requirements and translate them into technical solutions.

• Ensure data quality, security, and compliance across all solutions.

• Integrate data solutions into existing business processes and cross-functional systems.

• Continuously improve performance, cost-efficiency, and scalability of data systems.

Required Skills & Qualifications

• Strong expertise in Azure Databricks, Python, and Spark (must-have).

• Solid experience with Azure Data Services, such as: ADLS Gen2 and Azure Data Factory / Azure Synapse.

• Experience with API (REST or equivalent).

• Solid understanding of ETL processes, data modeling, and fundamental data architecture principles.

• Familiarity with CI/CD pipelines and version control (Git, etc.).

• Strong problem-solving skills and structured way of working within an agile delivery model.

• Excellent communication and collaboration skills — you enjoy interacting with business stakeholders and cross-functional teams.