Data Engineer - Technology consulting
PwC is hiring a Data Engineer - Technology consulting in Prague, Czechia. Level rates it ; you can apply on PwC.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- Tools and skills the posting cites include Databricks, Snowflake and Microsoft Fabric.
- Level classifies it as a junior role.
- Level lists 3,700+ other open roles at PwC.
- The role was posted within the past week.
AI in this role
Design and maintain cloud-based data pipelines and modern data platforms for international consulting clients.
Job Description & Summary
About the team
Join a growing team of data engineers, architects, and analysts delivering modern data solutions for clients across banking, assurance, and other industries. We work with cloud-native technologies, modern data platforms, and large-scale data migration projects. You’ll gain hands-on experience while learning from experienced professionals. The environment is collaborative, supportive, and focused on continuous development.
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
Are you passionate about data and eager to develop your skills in data engineering, cloud technologies, modern data platforms and data migration? Join our dynamic team and gain hands-on experience working on real-world data projects for a variety of clients.
You will:
- Assist in the design, development, and maintenance of data pipelines using Databricks, Snowflake, Microsoft Fabric, and cloud-native technologies.
- Support the automation of data processes including extraction, transformation, validation, and loading of data.
- Implement integrations between databases, applications, APIs, and cloud platforms.
- Work with batch processing and, where required, real-time data integration.
- Investigate technical issues and develop effective and sustainable solutions.
- Prepare technical documentation and contribute to continuous improvement initiatives.
- Collaborate with business analysts, data architects, developers, and testing teams.
- Participate in projects for international and local clients.
- Learn how enterprise data solutions are designed, built, tested, and operated.
- Develop towards senior data engineering and architecture career paths.
What matters to us
- University degree in Information Technology or a related field.
- Strong interest in software development and data engineering, with a logical and analytical approach to problem-solving.
- Knowledge of Python, Git, databases, and object-oriented programming concepts, combined with a strong willingness to learn.
What will help you stand out
- Experience with data warehousing, data lakes, lakehouse architecture, data modelling, data quality, or master data management.
- Hands-on experience with cloud platforms such as Azure, AWS, or GCP, Databricks, PySpark, Snowflake, Kafka, Airflow, BigQuery, or similar technologies.
- Familiarity with CI/CD, Infrastructure as Code, DevOps, or automated testing.
- Interest in AI, LLMs, and AI agents, with experience using APIs, prompt engineering, or RAG.
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 30,000 points to spend on what matters most to you.
- 30 days of paid time off, including three well-being days and two additional days off at the end of the year.
- An opportunity to give back to the community with one paid volunteering day every year.
- The chance to work from one of PwC’s international offices (available from the Senior Associate level).
- 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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How we rate this
Data Engineer - Technology consulting at PwC rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data engineer job
- $147k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, Data Engineering, and ETL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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