Senior Python developer

• Design the data platform environment (AWS, GCP, Azure, or hybrid)
• Select and implement the Modern Data Stack components: ingestion tools (e.g., Airbyte, Fivetran), transformation layer (dbt), orchestration (Airflow, Dagster)
• Design and implement a scalable Data Warehouse / Lakehouse architecture
• Build structured, documented, high-performance data models via dbt
• Connect the entire business ecosystem: accounting, CRM, expense management, payment platforms
• Build ERP abstraction pipelines enabling ERP switching without impacting reporting
• Ensure data integrity, freshness, and security
• Manage coexistence of multiple ERPs during transition phase
• Connect BI/DataViz tools (Tableau or future solutions) to the platform
• Optimize query performance
• Enable near real-time or real-time business monitoring

• Proven experience building a Data Platform from scratch (Data Warehouse / Lakehouse)
• Experience with ERP migration projects is a strong plus
• Expert-level SQL
• Strong Python
• Deep knowledge of Modern Data Stack (dbt, ingestion tools, cloud warehouses)
• Cloud & DevOps experience (CI/CD, Terraform, Docker)
• Strong problem-solving ability
• Able to justify architectural choices based on business needs
• Comfortable operating in a partially undefined target architecture
• Ownership-driven and autonomous

Experience with ERP migration projects

• Paid vacations (24 working days/year) and sick leave
• Stable long-term workload (8 hours per day, 40 hours per week), flexible working hours, fully remote
• Working on exciting projects in international team of professionals
• Opportunities for learning and practicing new technologies
• internal training
• Participating in inner meetups and permanent experience exchange with colleagues
• Well-defined development processes and methodologies
• Partial reimbursement of medical fees, massage or sports