Data Engineer (Python, SQL)

Edvantis, Львів, Ряшів (Польща)

Що робити

Develop the enterprise data platform: build a scalable Microsoft Fabric data infrastructure using a lakehouse architecture with Delta Lake
Develop and operate data pipelines: create robust batch and streaming ETL/ELT pipelines with schema evolution, automated transformation, and strong data quality validation
Integrate enterprise systems: connect to data sources such as SharePoint, Salesforce, Microsoft 365, Azure SQL, ERP/CRM systems, file repositories, and REST APIs
Ensure performance and reliability: optimize storage and processing across structured and unstructured data, including monitoring, alerting, and operational stability
Build semantic data layers & governance: establish a taxonomy and metadata standards, as well as semantic models and data cataloguing and lineage tracking; enforce access control, compliance, and security

4+ years in data engineering, including 1+ years in building enterprise-scale cloud platforms, with proven greenfield architecture and AI/ML data preparation experience
Experience in Python and SQL, and hands-on experience with Spark, Microsoft Fabric, Azure Data Platform, and Delta Lake
Experience in ETL/ELT, data modelling, and warehousing
Experience in integrating enterprise systems (e.g., Salesforce, SharePoint, MS 365, Azure SQL / Data Lake) and working with REST APIs and modern data architectures
Solid understanding of metadata management, master data management, and semantic modeling