# Senior Data Engineer at PwC

PwC is hiring a Senior Data Engineer in Prague, Czechia. Level rates it Little AI ●○○○; you can [apply on PwC](https://jobsbylevel.com/go/d1a3987a-7344-4078-84b3-b6dc5cc6a910?utm_medium=ai-agent).

AI Level 1, AI centrality 29 out of 100. Prague.

## Details

- Company: [PwC](https://jobsbylevel.com/companies/pwc)
- AI level: AI Level 1 (score 29 out of 100)
- Location: Prague
- Posted: November 2, 2026
- Apply: https://jobsbylevel.com/go/d1a3987a-7344-4078-84b3-b6dc5cc6a910?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-engineer-at-pwc-4af224

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-data-engineer-at-pwc-4af224

## Description

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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-data-engineer-at-pwc-4af224

Source: https://jobsbylevel.com/jobs/senior-data-engineer-at-pwc-4af224

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