7 days ago
Prague, CzechiaEntry Level
Responsibilities
- Assist in designing, developing, and maintaining data pipelines using Databricks, Snowflake, Microsoft Fabric, and cloud-native technologies.
- Support automation of data extraction, transformation, validation, and loading processes.
- 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, sustainable solutions.
- Prepare technical documentation and contribute to continuous improvement initiatives.
- Collaborate with business analysts, data architects, developers, and testing teams.
- Participate in data projects for international and local clients and learn how enterprise data solutions are designed, built, tested, and operated.
- Develop toward senior data engineering and architecture career paths.
Requirements
- 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.
- Willingness to learn and develop data engineering skills.
- Experience with data warehousing, data lakes, lakehouse architecture, data modelling, data quality, or master data management is helpful.
- Hands-on experience with Azure, AWS, GCP, Databricks, PySpark, Snowflake, Kafka, Airflow, BigQuery, or similar technologies is helpful.
- Familiarity with Infrastructure as Code, DevOps, or automated testing is helpful.
- Interest or experience in AI, LLMs, AI agents, APIs, prompt engineering, or RAG is helpful.
Benefits
- Professional growth, ongoing training, certifications, regular feedback, a buddy programme, and access to a career coach.
- Fair pay and participation in a company certified for Equal Pay in the Czech Republic.
- Flexible benefits programme with 30,000 points.
- 30 days of paid time off, including three well-being days and two additional year-end days off.
- One paid volunteering day per year.
- Opportunity to work from PwC international offices, available from the Senior Associate level.
- Training and certifications in consulting, business, technology, data analytics, cloud, Microsoft technologies, business process analysis, and consulting skills.
- Well-being support, workplace yoga, running events, and other healthy-lifestyle initiatives.
- Ultrabook and iPhone with unlimited data.
- Social events and Away Days.
Tech Stack
Categories
Data Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.