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PwC

Data Engineer Intern

LocationPrague
Work modehybrid
Typeinternship
SeniorityEntry
DepartmentTechnology Consulting
Company size10,000+ people
First seenOct 10, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have3
Currently pursuing or recently completed a degree in Information Technology, Computer Science, Data Science, or a related field.
Strong interest in software development and data engineering, with an analytical and problem-solving mindset.
Basic knowledge of Python, Git, databases, and object-oriented programming concepts, combined with a strong willingness to learn.
Nice to have6
Experience from school, personal, or commercial projects involving programming, databases, APIs, or data pipelines.
Basic knowledge of cloud platforms such as Azure, AWS, or GCP.
Interest in AI, LLMs, AI agents, prompt engineering, or RAG solutions.
Familiarity with Databricks, PySpark, Snowflake, Kafka, Airflow, BigQuery, or similar technologies.
Understanding of data modelling and data warehousing concepts.
Enthusiasm for learning new technologies and working in a collaborative environment.
Skills
Python
Git
Azure
AWS
GCP
Databricks
Snowflake
MS Fabric
PySpark
Kafka
Airflow
BigQuery
Power BI
Alteryx
Tableau
Power Platform
Benefits
Professional growth
Fair pay
Flexible benefits
Flexible work
Onderneming
Well being support
Ultrabook and iphone
Social events
Job Description & Summary
About the team
Join a growing Data & Technology team that helps clients unlock value from their data. You will work alongside experienced data engineers, architects, and analysts on real-world projects across multiple industries, including financial services and assurance organizations. The team combines modern cloud technologies, data platforms, and AI-driven solutions to solve complex business challenges.
About your manager
David is a Senior Manager who leads the Data Engineering team within Data Management in Technology Consulting. Combining the roles of Cloud Data Platform Architect and Delivery Manager, he helps clients build, modernize, and migrate modern data platforms, deliver data migrations in core system replacements, and transform data into tangible business value. David has delivered complex Data & AI projects across Europe and Canada. Outside of work, he is passionate about fishing for zander and staying active through sports.
Job description & summary
As a Data Engineer Intern, you will join a supportive team of data engineers, architects, and analysts. You will work on real projects for a variety of clients, including large banks and assurance organizations abroad, as well as companies based in the Czech Republic.
Responsibilities
You do not need to know everything from day one. We will support you in developing your technical skills and help you understand how data solutions are designed, built, tested, and used in practice. You will:
•
Assist in the design, development, and maintenance of data pipelines using variety of tools (e.g. Databricks, Snowflake, MS Fabric) and cloud-native technologies (Azure, AWS, GCP).
•
Help with automation of data processes such as extracting, transforming, validating and loading data from various sources.
•
Learn from experienced data engineers and data architects.
•
Opportunity for career growth to senior engineer to architecture role.
What matters to us
•
Currently pursuing or recently completed a degree in Information Technology, Computer Science, Data Science, or a related field.
•
Strong interest in software development and data engineering, with an analytical and problem-solving mindset.
•
Basic knowledge of Python, Git, databases, and object-oriented programming concepts, combined with a strong willingness to learn.
What will help you stand out
•
Experience from school, personal, or commercial projects involving programming, databases, APIs, or data pipelines.
•
Basic knowledge of cloud platforms such as Azure, AWS, or GCP.
•
Interest in AI, LLMs, AI agents, prompt engineering, or RAG solutions.
•
Familiarity with Databricks, PySpark, Snowflake, Kafka, Airflow, BigQuery, or similar technologies.
•
Understanding of data modelling and data warehousing concepts.
•
Enthusiasm for learning new technologies and working in a collaborative environment.
Why you’ll enjoy working here
•
Professional growth that matches your ambitions and pace. Gain in months the kind of experience that can take years to build elsewhere.
•
Fair pay with no gaps. We are among the few companies in the Czech Republic certified for Equal Pay.
•
A flexible benefits programme with 15,000 points to spend on what matters most to you.
•
Flexible working arrangements, including hybrid working options.
•
We support your learning and development journey: Benefit from ongoing training and certifications in consulting, business, and technology skills, including Agile and project management, data analytics (Power BI, Python, Alteryx, Tableau), cloud and Microsoft technologies (Azure, Power Platform), business process analysis, and consulting essentials, such as stakeholder management, communication, and presentation skills.
•
A buddy programme, regular feedback, and access to a coach who can support your professional development and career path.
•
Extensive well-being support and initiatives promoting a healthy lifestyle, from Dr. Digital and Human Dynamic programmes to workplace yoga and running events.
•
An ultrabook and an iPhone with unlimited data.
•
Social events and Away Days.
At PwC, we help clients solve today’s and tomorrow’s challenges across audit, consulting, tax, legal, technology, and data. We create an environment where people can learn, grow, and build a career in their own way. We believe the best results come from diverse experiences and perspectives. That’s why we foster an inclusive culture where everyone can be themselves, build on their strengths, and contribute to work that makes a real impact.
Interested in joining us? We’d love to hear from you and tell you more about this opportunity.
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