About The Role
We’re looking for a Data Engineer Intern who actually likes data, but someone who’s curious — someone who wants to understand how data works, why it behaves the way it does, and how to make it useful.
You don’t need years of experience. We care more about:
your mindset
your curiosity
your willingness to learn
You’ll work on real data problems connected to drug development and healthcare, helping build and maintain data pipelines that support cutting-edge analytics and AI.
You’ll join a team that genuinely cares about AI and Generative AI — we experiment, we learn, and we teach others. Expect a hands-on, supportive, no-BS environment.
What You’ll Do
Help design and maintain data pipelines (ETL/ELT) moving data from different sources into data platforms
Work with structured and unstructured data, learning how to clean, transform, and model it
Support development of datasets used for analytics, reporting, and machine learning
Collaborate with Data Engineers, Data Scientists, and Analysts to understand real business use cases
Learn how to monitor data pipelines, debug issues, and improve data quality
Contribute to documentation and data-related processes
Get exposure to cloud platforms (AWS) and modern data tools like Databricks
Explore how Generative AI can be used in data workflows
What We’re Looking For
We’re not expecting you to tick every box — but you should have some foundation and strong motivation to grow.
Must-have basics
Student (or recent graduate) in IT, Data, Engineering, or similar field
Basic knowledge of Python and/or SQL
Understanding of how data works (tables, databases, APIs, etc.)
Interest in data engineering, analytics, or AI/GenAI
Ability to think critically and solve problems
Good communication skills and willingness to learn
Nice To Have (but Not Required)
Exposure to: AWS (S3, Lambda, etc.), Databricks / Spark, ETL tools or pipelines
Experience with Git (even basic)
Curiosity around Generative AI tools (e.g., GitHub Copilot or similar)
Any personal projects, coursework, or internships in data
What You’ll Gain
Hands-on experience with real-world data systems used in healthcare & pharma
Mentorship from experienced Data Engineers and AI specialists
Practical knowledge of: Data pipelines and ETL/ELT, Cloud data platforms (AWS), Modern tooling (Databricks, Git, CI/CD basics)
Exposure to AI & Generative AI in production environments
Opportunity to grow into a full-time Data Engineer role
CZ
