Data Engineering Manager

In PwC Poland’s Digital&IPA, the team creates innovative applications and delivers data-driven insights by combining software engineering expertise with advanced data analysis, including GenAI applications. Their capabilities include data science, UX design, business intelligence, data engineering, frontend & backend development, and cloud solutions. They carry out projects in various industries such as banking, insurance, and retail, supporting clients from Europe, the USA, South America, and Asia.

• At least 8 years of professional experience in data engineering including senior, lead, or architect roles
• Proven experience in client-facing or pre-sales activities such as scoping, estimations, proposals, and solution presentations
• Hands-on experience designing and delivering cloud data platforms like Databricks, MS Fabric, Snowflake
• Experience processing large volumes of structured, semi-structured, and unstructured data with Python, Spark, and SQL
• Solid understanding of data warehousing concepts and experience in data modeling
• Familiarity with Data Governance topics including data quality assurance, data lineage, versioning, cataloging, and privacy
• Practical understanding of how data engineering supports GenAI and agentic use cases (e.g., vector stores, RAG pipelines)
• Excellent communication and stakeholder management skills including with senior business audiences
• Minimum C1 level in English, written and spoken
• Fluency in Polish for internal communication
• Familiarity with Scrum or other agile project management methodologies

Nice to have:

• Hands-on experience with GenAI applications as a developer (e.g., RAG, agentic workflows, MCP or similar tool/data integration patterns)
• Experience with vector databases (e.g., Azure AI Search, Weaviate, pgvector) and document databases (MongoDB, DynamoDB)
• Experience cooperating with AI/ML or software engineering teams on integrated solutions
• Relevant certifications such as Databricks Certified Data Engineer Professional or Azure Solutions Architect

• Hybrid leadership position split between business development and hands-on technical delivery on client projects
• Build strong cooperation with adjacent teams (AI Engineering, Software Development, Cloud) to design integrated, cross-domain offerings
• Co-create and evolve the "Data for AI" proposition for GenAI, agentic systems, and ML use cases
• Support pre-sales activities including client meetings, solution scoping, estimations, proposals, and RFP responses
• Contribute to thought leadership through internal knowledge sharing, conference talks, articles, and client workshops
• Support recruitment and growth of the Data Engineering practice
• Act as Data Architect, Tech Lead, or SME on client engagements designing end-to-end cloud data platforms on Azure
• Guide team members, review architectural decisions and code, and maintain communication with senior client stakeholders