Senior Data Engineer – medical industry

Join a high-impact project for a client in the medical sector. In this role, you will design, build, and maintain enterprise-grade data pipelines and data warehouses on AWS, with a strong focus on Amazon Redshift. You will collaborate closely with various teams and other business units to deliver a GxP-compliant, end-to-end data solution.

This is a hybrid position, requiring at least two days per week in the office.

Your tasks

• Design and maintain ETL/ELT pipelines using SQL, Python, and PySpark for Redshift and Data Lake

• Optimize SQL pipelines and ensure high-performance cluster operations

• Develop secure data marts and BI-ready tables for reporting and analytics

• Implement automated monitoring, logging, and alerting for data integrity

• Translate business requirements into scalable data and BI solutions

• Ensure compliance with GxP standards and author validation documentation

Requirements

• At least 10 years of experience in ETL/ELT development and data engineering

• Strong expertise in AWS services (S3, Glue, Lambda, IAM) and Amazon Redshift

• Proficiency in SQL, Python, PySpark, and data modeling (star, snowflake, dimensional)

• Hands-on experience with GitHub, APIs, and performance tuning

• Familiarity with GxP-regulated environments and agile methodologies

• Excellent communication skills in English, both written and spoken

• Residing in Poland required