Data engineer - Technology consulting
AI in this role
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
You will work with experienced managers and technical leads who support professional growth through regular feedback, mentoring, and coaching. From day one, you will be encouraged to develop your technical expertise and take ownership of your learning journey. The team values curiosity, initiative, and teamwork.
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 score this
Data engineer - Technology consulting at PwC scores 33 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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- How would you design a retrieval step so the model answers from real data instead of guessing?
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- What's a project where you used Databricks hands-on?
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- 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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