Data Engineer(Middle/Senior)

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

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 international clients. Our team brings together data engineers, architects, analysts, and technology consultants who enjoy solving complex business challenges through modern technologies.

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 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.
• 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.
• Proven project delivery experience in at least one of the following technologies: Databricks, Snowflake, MS Fabric and Cloud technologies.
• Interest and initial hands-on experience with AI, LLMs, and AI agents, e.g. using APIs, prompt engineering, Knowledge Graph or RAG.
• Ability to independently translate technical designs into clear, client-friendly explanations, and confidence in leading technical workshops with clients or stakeholders.

Policy statements:
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