Data Engineer (ETL, Azure)

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.

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.

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.

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