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Data Engineer - Technology consulting

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Assist in designing, developing and maintaining data pipelines

  • Support automation of extraction, transformation, validation and loading

  • Implement integrations between databases, applications, APIs and cloud platforms

  • Investigate technical issues and develop sustainable solutions

  • Prepare technical documentation and contribute to improvement initiatives

From the employer’s posting
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.
Investigate technical issues and develop effective and sustainable solutions.
Prepare technical documentation and contribute to continuous improvement initiatives.

What you’ll bring

All qualifications

Core experience

  • University degree in Information Technology or a related field
  • Knowledge of Python, Git, databases and object-oriented programming
  • Strong interest in software development and data engineering
Qualification wording
University degree in Information Technology or a related field.
Knowledge of Python, Git, databases, and object-oriented programming concepts
Strong interest in software development and data engineering, with a logical and analytical approach to problem-solving.

About Pwc

At PwC, we help clients solve today’s and tomorrow’s challenges across audit, consulting, tax, legal, technology, and data.

In the employer’s words · Read in context

Apply at Pwc

Posting record

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Open 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

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.

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
Hiring record

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 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
- 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.
- 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.
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.

Your next step

Complete your application on pwc.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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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

View original posting ↗

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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Prague

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