Data EngineerVerified as a real position
- Posted
- Employment type
- Full-time
Who we’re looking for
- Strong expertise in Databricks and AWS services (e.g. S3, IAM, Redshift, Glue, Lambda, Step Functions, CloudWatch).
- Hands-on experience with ETL/ELT processes and orchestration tools.
- Proficiency in Python and SQL.
- Experience with GitHub and CI/CD pipelines using GitHub Actions.
- Also we do hope you are using GenAI powered or agentic stack already – GitHub Copilot is a minimum – if not, you’ll get upskilled asap
- Excellent communication skills and ability to document processes effectively.
What you’ll do
- Design, develop, and maintain ETL/ELT pipelines to extract, transform, and load data from diverse sources into data lakes and warehouses.
- Implement data transformation rules and develop data models to support analytics and machine learning workflows.
- Collaborate with Product Analysts, Data Scientists, and ML Engineers to make data accessible and meaningful.
- Ensure data quality, maintain data catalogs, and leverage orchestration, logging, and monitoring tools.
- Apply test-driven development principles to build reliable data solutions.
- Contribute to information architecture and follow best practices for version control using Git.
About the position
About the Role We are looking for a Data Engineer who actually likes data. We could be writing that we want “someone who is passionate about building robust data solutions and enabling advanced analytics in the pharmaceutical domain”. But we simply want You to care about data, learn and understand the data core logic. You should have a good amount of critical thinking and common sense on top of actual experience developing in Python/SQL - ideally on AWS + Databricks, see below. This very role has a great purpose – it's a critical data role for designing and maintaining data pipelines to ensure cutting-edge drug development processes. You’ll join an AI&Data team that is super passionate about AI and GenAI. We have AI experts, we run trainings, and we also teach others—so you’ll be part of a learning-driven, no-BS & innovative environment.
Benefits
- Be part of a cutting-edge Technology DATA and AI team driving innovation (not only) in pharma and healthcare.
- Work on real-world data, AI and GenAI applications that make a tangible impact on drug development and patient care.
- Collaborate with top AI adn data experts and learn from the best—our team runs internal and external trainings and knowledge-sharing sessions regularly.
- Enjoy a culture of continuous learning: we invest in your growth through certifications, workshops, and hands-on projects.
- Contribute to global initiatives while working in a dynamic, collaborative environment in the Czech Republic.
- Access to modern tech stack (Databricks, AWS, Spark, Python, CI/CD pipelines) and opportunities to experiment with new tools and frameworks.
- Be part of a team that values innovation, creativity, and knowledge sharing—we don’t just build solutions, we shape the future of Data and AI in Pharma.