Data Engineer (Python)

Duration: 3–5 months
Location: Armenia, Ukraine, Poland, Estonia
 

Responsibilities:

• Shape and contribute to Cargoo’s data engineering strategy, including the design, architecture, and implementation of scalable data solutions
• Build, maintain, and evolve the Data Platform to support advanced analytics, machine learning, and real-time decision-making
• Collaborate closely with AI engineers, BI analysts, and business stakeholders to translate data needs into robust technical solutions
• Identify data opportunities across the organization and enable teams to extract maximum value from data assets
• Design and implement ETL/ELT pipelines, including batch and streaming data workflows
• Develop and maintain data models using dimensional and advanced modeling techniques
• Support deployment, monitoring, and lifecycle management of data applications
• Apply DataOps best practices to ensure reliability, scalability, and quality of data pipelines
• Participate in code reviews and promote high engineering standards
• Take ownership of projects end-to-end, ensuring timely delivery and measurable impact
   

Requirements:

• Solid proficiency in Python (runtime environment, package management) and SQL (DML, DDL)
• Hands-on experience with SQL Server / Azure SQL Server
• Experience working with cloud platforms, preferably Microsoft Azure
• Familiarity with the modern data stack, including tools such as dbt and orchestration frameworks (Airflow, Dagster, or similar)
• Strong understanding of ETL/ELT concepts, data architecture, and data modeling
• Experience with streaming technologies (Kafka or equivalent)
• Experience with Docker and container orchestration technologies
• Experience deploying and monitoring applications on Kubernetes (K8s)
• Knowledge of application lifecycle management
• Understanding and application of DataOps practices
• Strong project management, execution skills, and a clear sense of ownership and accountability