Level

PwC

Senior Data Engineer

AI in this role

databricks
prompt-engineeringragai-agents

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

You can rely on experienced leaders who combine deep technical expertise with a collaborative coaching style. They will support your professional growth, help you take ownership of client engagements, and provide regular feedback throughout your career journey. You will have the space to shape technical decisions while continuing to learn from senior experts.


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.


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#LI-NS1

How we score this

Senior Data Engineer at PwC scores 28 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.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. 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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRagAI AgentsDatabricks

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. 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.

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