Azure Data Engineer - Freelancer

📋 Description

• Provide technical expertise and direction in data engineering, recommending appropriate tools
• Collaborate with stakeholders to understand business and technical requirements, define project
• Support project managers in delivering projects on time, within budget, and according to
• Monitor project progress, identify potential risks, and implement mitigation strategies.
• Design and oversee scalable, efficient data architectures aligned with business needs, including
• Establish coding standards and conduct code reviews to maintain high-quality, maintainable code.

🎯 Requirements

• Bachelor's or master's degree in Computer Science, Information Systems, or a related field
• 8–10 years of professional experience in data engineering or a related discipline.
• Strong programming and data manipulation skills, particularly in Python, SQL, and PySpark.
• Hands-on familiarity with Microsoft Azure data services, including Azure Databricks, Azure Data
• Strong knowledge of Delta Lake, data warehousing, Spark architecture, and cloud-based data solution
• Experience designing and managing ETL frameworks, data pipelines, and data warehousing solutions.

🎁 Benefits

• Flexible freelance engagement: Open-ended B2B cooperation, with an active sole proprietorship
• Part-time workload: Up to 50% of a full-time schedule, depending on project requirements.
• Flexible project participation: Choose whether to accept suitable project opportunities based on
• Remote working arrangement: Work remotely and enjoy flexibility in where and how you work, in line
• Equipment support: Equipment is typically provided for freelancers, although a virtual machine may
• Autonomy and ownership: Freedom to contribute ideas and determine your approach to delivering