Data Engineer - Technology consulting
- Prague, Czechia
- Mid Level
- Posted
Skills
Required
- software development
- data engineering
- Python
- Git
- databases
- object-oriented programming
- data warehousing / data lakes / lakehouse architecture / data modelling / data quality / master data management
- cloud platforms
- Azure / AWS / GCP / Databricks / PySpark / Snowflake / Kafka / Airflow / BigQuery
- CI/CD / Infrastructure as Code / DevOps / automated testing
- AI
- LLMs
- AI agents
- APIs / prompt engineering / RAG
Preferred
- data pipelines
- Microsoft Fabric
- cloud-native
- batch processing
- real-time
- data integration
- Agile and project management
- data analytics
- Power BI
- Alteryx
& 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.
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.
& 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.
About Pwc
- 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.
Responsibilities
- The environment is collaborative, supportive, and focused on continuous development.
- 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.
- 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.
- Social events and Away Days .
Requirements
- 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.
- Digital and Human Dynamic programmes to workplace yoga and running events.
Pay
Fair pay with no gaps.
Benefits
- Gain in months the kind of experience that can take years to build elsewhere.
- 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).
- 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.
- An ultrabook and an iPhone with unlimited data.
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
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