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.
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.
We do hope you’ll bring some Generative AI skills to the table. If not, you’ll get upskilled real fast – the data industry is changing faster than ever with Generative AI.
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.
Job Qualifications
What 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.
Nice to have
Knowledge of pharma or specifically pharma DSCS domain and pharmaceutical processes such as predicting drug substance stability and assay monitoring – If you know this stuff, that’s awesome—but totally not a dealbreaker!
Why Join Us?
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.
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