Data Engineer; Life Sciences & Healthcare
Listed on 2026-06-19
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IT/Tech
Data Engineering, Data Science Manager, Data Analyst
Location: Town of Poland
Data Engineer (Life Sciences & Healthcare)
Poland
Company BackgroundOur client is a leading global provider of advanced analytics, technology solutions, and clinical research services for the life sciences industry. The company combines large-scale healthcare data with AI-powered analytics to accelerate drug development, clinical trials, and commercialization for pharmaceutical and biotech companies. It was named to Fortune’s World’s Most Admired Companies list in 2026.
Project DescriptionAs a Data Engineer, you will play a key role in building and optimizing data pipelines that power the forecasting and analytics platforms. You’ll work across a global engineering organization, collaborating with product managers, front-end and back-end developers, and fellow data engineers.
Technologies- Python
- SQL
- Google Cloud and AWS
- Data warehouse
- Snowflake
- Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting;
- Work across the application stack, focusing primarily on backend data engineering;
- Ensure code quality through reviews, testing, and adherence to best practices;
- Collaborate with global engineering pods to maintain consistent coding standards;
- Mentor and guide engineers and contractors, fostering technical growth;
- Partner with product managers and peers to translate business requirements into scalable solutions;
- 5+ years of experience in data engineering, including at least 2–3 years in a senior-level role;
- Proficiency in Python and SQL;
- Hands‑on experience with cloud platforms:
Google Cloud and AWS preferred;
Azure acceptable; - Strong understanding of data warehousing concepts; experience with Big Query or similar technologies;
- Ability to communicate complex technical concepts clearly to peers and stakeholders;
- Bachelor’s degree in Computer Science or related field;
- Familiarity with Snowflake or other modern data platforms;
- Exposure to AI/ML concepts and interest in applying them to data engineering;
- Healthcare industry experience is a plus;
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
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