Data Engineer (ETL, Azure)

Technologies we use

About the project

Your responsibilities

• 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.

Our requirements

• 3-6 years of experience in data engineering (ETL, integration, modeling).
• Strong knowledge of AWS or Azure, or both services (Azure Databrick, Data Lake, Data Factory, Glue, Synapse, Snowflake, 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.
• Healthcare or fintech/pharma project experience is a plus.

What we offer

• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

Benefits