Your future role:   

• A hybrid leadership position split equally between business development and hands-on technical delivery on client projects,
• Building strong cooperation with adjacent teams (AI Engineering, Software Development, Cloud) to design integrated, cross-domain offerings,
• Co-creating and evolving our "Data for AI" proposition: how we deliver data foundations for GenAI, agentic systems, and ML use cases,
• Supporting pre-sales activities: client meetings, solution scoping, estimations, proposals, and RFP responses, 
• Contributing to thought leadership: internal knowledge sharing, conference talks, articles, and client workshops, 
• Supporting recruitment and growth of the Data Engineering practice, 
• Acting as a Data Architect, Tech Lead, or SME on client engagements – designing end-to-end cloud data platforms on Azure, including data architectures powering GenAI and agentic solutions (vector databases, RAG pipelines, AI-ready data products), 
• Guiding team members, reviewing architectural decisions and code, and maintaining regular communication with senior client stakeholders. 

Apply if you have: 

• 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 (scoping, estimations, proposals, solution presentations), 
• Hands-on experience designing and delivering cloud data platforms, like Databricks, MS Fabric, Snowflake, 
• Working 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: data quality assurance, data lineage, versioning, cataloging, privacy etc., 
• Practical understanding of how data engineering supports GenAI and agentic use cases (e.g. vector stores, RAG pipelines, feature/context delivery for agents), 
• Excellent communication and stakeholder management skills, including with senior business audiences, 
• Min C1 in English, written and spoken, 
• Fluency in Polish for internal communication, 
• Familiarity with Scrum or other agile PM 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 (e.g. Databricks Certified Data Engineer Professional, Azure Solutions Architect).

By joining us you gain: 

• Work flexibility – hybrid working model (min. 2 days in the office per week), flexible start of the day, workation, sabbatical leave, 
• Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC e.g. Data Engineering learning paths with MS Azure or Databricks and conversations with native speaker, 
• Wide medical and well-being program - a medical care package (incl. physiotherapy, discounts on dental care), coaching, mindfulness sessions, psychological support, education through dedicated webinars and workshops, financial and legal advice, 
• Possibility to create your individual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase, 
• 3 paid hours for volunteering per month,   
• Additional paid Birthday Day off, 
• And when you start enjoying PwC as much as we do, you may recommend your friend to work with us. 

Recruitment process: 

• Apply,
• Have a conversation with our Recruiter during a short HR screening call,
• Get to know each other better during an interview with our Hiring Manager.