Senior Data Engineer (Python & AWS)

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