Senior Data Engineer (Python & AWS)

Industry: Healthcare | Environment: Global / International | Start: 1.05.2026

We are looking for a highly skilled Senior Data Engineer to join our client in the healthcare sector. If you have a deep expertise in Python and AWS, and building scalable Serverless data architectures is where you truly excel, this is the perfect role for you!

Key Responsibilities:

• Design and build scalable Data Ingestion pipelines within the AWS cloud ecosystem.

• Lead technical delivery and implementation of core platform components, ensuring architectural integrity across the entire data lifecycle.

• Collaborate with Engineering Managers and cross-functional teams across the globe and Poland.

• Drive technical excellence by improving team processes, architecture standards, and engineering best practices.

• Support and consult with stakeholders to ensure successful delivery of high-impact, data-driven solutions.

• Contribute to the growth and maturity of the team’s cloud and data engineering capabilities.

Requirements (Must-have):

Technical Expertise:

• Python Programming: 10+ years of experience with strong Software Engineering skills focused on data processing.

• AWS & Serverless: Extensive experience with AWS Cloud, specifically focusing on Serverless Architecture and services (including AWS Lambda, AWS S3 Tables, and AWS Cognito).

• Automated Testing: Proven experience in developing End-to-End (E2E) automated tests to ensure pipeline reliability, utilizing tools such as Boto3 for AWS resource validation.

• Data Concepts: Practical knowledge of Data Mesh and Medallion Architecture, along with general data processing and analysis.

• DevOps & IaC: Hands-on experience with Infrastructure as Code (AWS CDK or Terraform) and CI/CD pipelines (GitLab pipelines or GitHub Actions).

• Modern Tooling: Experience with ETL/ELT solutions, dbt, and GraphQL.

Communication & Soft Skills:

• English Language: Minimum B2 level, enabling smooth daily technical and business communication in a global environment.

• Collaboration: Excellent communication skills and the ability to thrive in a collaborative, international team.

• Standards: A strong commitment to high standards of ethics, quality (Clean Code), and reliable delivery.

Nice to have:

• Experience with Snowflake and SQL.

• Knowledge of Data Vault 2.0 modeling.

• Experience with Databricks.

• Familiarity with the Microsoft ecosystem: C# / .Net, T-SQL, SQL Server, and Azure DevOps.

• Experience with Star Schema database modeling.

• Knowledge of Descriptive Statistics.