Data Engineer

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

• 4–6 years of experience in data engineering including ETL, integration, and modeling
• Strong knowledge of AWS or Azure services including Azure Databricks, Data Lake, Data Factory, Glue, Synapse, Snowflake, or AWS Redshift
• Proficiency in Python and SQL
• Familiarity with CI/CD tools and basic DevOps concepts
• Understanding of data integration and data quality principles
• English at B2 level or higher
• Experience in healthcare, fintech, or pharma projects is a plus

• Design, implement, and maintain data processing solutions in AWS and Azure environments
• Build and optimize ETL pipelines and data integration workflows
• Develop and maintain data pipelines using Azure Data Factory, Synapse, and Databricks
• Ensure data quality, security, and compliance standards across all solutions
• Collaborate with analysts, business stakeholders, and cross-functional teams to deliver reliable data solutions
• Support data architecture improvements and cloud migration projects