Data Engineer Intern
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
Prague
Equal Employment Opportunity Statement
We are looking for people with their own life story and out-of-the-ordinary resume. Individual, not just like the rest. Different rather than conventional. Diversity is our strength and an essential element of Accenture’s corporate culture. We want an inclusive and open working environment in which everyone can be their natural selves. Everyone is welcome to apply to Accenture, regardless of origin, creed, disability, age, nationality, marital status, partnership status, sexual orientation, gender or other legally protected reasons.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.