Senior Data Engineer
PwC is hiring a Senior Data Engineer in Prague, Czechia. Level rates it ; you can apply on PwC.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Databricks, prompt engineering and RAG among its tools and skills.
- Level classes it as a senior role.
- PwC has 3,800+ other open roles on Level.
- Posted in the last few days.
AI in this role
Job Description & Summary
About the team
Join the Technology Consulting team and help clients modernize the way they work with data. We deliver end-to-end data platform and analytics solutions across cloud environments, working with both international and Czech clients. Our team brings together data engineers, architects, analysts, and technology consultants who enjoy solving complex business challenges through modern technologies.
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 a data professional ready to take the next step in your career, taking more ownership of data engineering projects, working with cloud technologies and modern data platforms, and starting to guide technical decisions?
As a Senior Associate Data Engineer, you will:
- Co-design, develop, and maintain data pipelines using Databricks, Snowflake, Microsoft Fabric, and cloud-native technologies.
- Build and automate data ingestion, transformation, validation, and loading processes.
- Implement integrations between databases, applications, APIs, and cloud platforms.
- Work with both batch and real-time data processing solutions.
- Participate in cloud migration and modern data platform initiatives.
- Investigate technical issues and develop sustainable solutions.
- Prepare technical documentation and contribute to engineering best practices.
- Collaborate with business analysts, architects, developers, and testing teams.
- Support technical workshops and explain complex concepts to clients and stakeholders.
- Grow toward Lead Data Engineer or Data Architect career paths.
What matters to us
- Solid experience in software development and data engineering, with a logical and analytical approach to problem solving.
- Strong hands-on experience with Python, GIT, databases, and programming concepts such as object-oriented programming (OOP), along with a genuine motivation to keep growing your technical skills.
- Proven project delivery experience in at least one of the following technologies: Databricks, Snowflake, MS Fabric and Cloud technologies.
- Ability to independently translate technical designs into clear, client-friendly explanations, and confidence in leading technical workshops with clients or stakeholders.
What will help you stand out
- Practical experience with data warehousing, data lakes, Lakehouse architecture, data modeling, data quality, operational data store, or data mastering.
- Hands-on experience and certification in cloud platforms such as Azure, AWS, or GCP.
- Experience applying CI/CD, Infrastructure as Code, DevOps practices, or automated testing in real projects.
- Solid experience with technologies such as Databricks, PySpark, Snowflake, Kafka, Airflow, BigQuery, or similar tools.
- Interest and initial hands-on experience with AI, LLMs, and AI agents — e.g. using APIs, prompt engineering, Knowledge Graph 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 45,000 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.
Ochrana osobních údajů pro žadatele o zaměstnání / Privacy Statement for Recruitment Applicants
#LI-NS1
How we rate this
Senior Data Engineer at PwC rates 29 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
- $150k
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?
- What's a project where you used Databricks hands-on?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, and Databricks. 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.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new data engineer jobs by email
One email a week with the new data engineer jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step