Senior Data Engineer

Devire Outsourcing IT is a collaboration model dedicated to IT specialists based on self-employment (B2B), executing projects for leading clients conducting innovative and modern projects. The client is a leading company in the logistics industry.

• Very good knowledge of SQL and data transformation and modeling.
• Experience with Snowflake and SQL database environments.
• Building and maintaining data pipelines and ETL/ELT processes (e.g., Azure Data Factory or similar).
• Data integration from various sources (API, batch).
• Query and process optimization for performance and scalability.
• Testing, monitoring, and ensuring data quality.
• Knowledge of data warehouses, governance, and metadata management.
• Experience with Git and Agile methodologies.
• Ability to collaborate with business and technical teams.
• Use of AI tools and willingness to learn new technologies.

• Designing, developing, and maintaining scalable data solutions supporting analytics and reporting.
• Building and developing data pipelines, transformation logic, and analytical models.
• Co-creating and improving data architecture.
• Collaborating with technical and business teams to translate requirements into technical solutions.
• Optimizing solutions for performance, scalability, and data quality.
• Analyzing and resolving data-related incidents and issues.
• Applying engineering best practices (testing, code review, documentation, version control).
• Providing technical support and participating in solution design for complex initiatives.
• Using AI and automation tools to improve work quality and efficiency.
• Monitoring trends in data engineering, cloud, and analytics.
• Ensuring solutions comply with security, governance, and compliance principles.