Time since we first saw it
Day 120
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Data Engineer Intern
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Part-time — employment source
Employment type in the employer’s posting: Part time
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: Data Engineer Intern
What you’ll work on
Full postingAssist in designing, developing and maintaining data pipelines
Help automate extracting, transforming, validating and loading data
Learn from experienced data engineers and data architects
From the employer’s posting
Assist in the design, development, and maintenance of data pipelines
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.
What you’ll bring
All qualificationsCore experience
- Currently pursuing or recently completed a degree in IT, computer science, data science or related field
- Basic knowledge of Python, Git, databases and object-oriented programming
- Strong interest in software development and data engineering
Qualification wording
Currently pursuing or recently completed a degree in Information Technology, Computer Science, Data Science, or a related field.
Basic knowledge of Python, Git, databases, and object-oriented programming concepts
Strong interest in software development and data engineering, with an analytical and problem-solving mindset.
About Pwc
David is a Senior Manager who leads the Data Engineering team within Data Management in Technology Consulting.
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this posting 120 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 6, 2026120 days ago
- Recorded sightings
- 129
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Pwc is hiring
27 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Azure
- BigQuery
- Databricks
- GCP
- Kafka
- Power BI
- Snowflake
- Tableau
- Airflow
- PySpark
Where the posting names them
- 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
- 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.
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.
- 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.
- 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.
Your next step
Complete your application on pwc.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
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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Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Prague
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.