Senior Data Engineer

Job Description

Make, headquartered in Prague, Czech Republic, is seeking a Senior Data Engineer to join its Analytics team. The Senior Data Engineer will be responsible for designing and implementing scalable data solutions, collaborating with cross-functional teams, and ensuring data quality and governance.

• Design, build, and manage data pipelines using Airflow.
• Develop custom plugins and operators to enhance pipeline functionality.
• Manage and optimize cloud-based infrastructure using AWS and Terraform.
• Translate business needs into effective data architecture and workflows.
• Design and maintain data models that align with business requirements.
• Build and optimize data models using SQL.
• Implement data governance best practices and data quality checks.
• Collaborate with cross-functional teams to understand and fulfill data needs.
• Communicate technical concepts to non-technical stakeholders.
• Manage and prioritize workload effectively.
• Lead data engineering projects and initiatives.

• 5+ years of experience in data engineering roles.
• Proficiency in Python with production-grade code.
• Hands-on experience with AWS cloud services and orchestration tools (e.g., Airflow) and Terraform.
• Expertise in SQL and analytical data warehouses (preferably Snowflake) with ETL/ELT best practices.
• Strong data modeling skills and experience in translating business requirements.
• Deep understanding of data governance practices, including data quality frameworks and tools.
• Excellent communication skills with the ability to bridge technical and business perspectives.
• Proven ability to manage and prioritize tasks, estimate effort, and lead projects.

• RSUs grant in a rapidly growing company
• Annual bonus
• Learning & Development plan
• Flexible working hours + home office
• 25 days of vacation, 4 sick days, company day off on 31st December
• Remote working allowance