PwC

Data Engineering Manager

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SeniorHybryda·WarszawaFull-time

#369629·Dodano 4 miesiące temu·6

Źródło: PwC

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Tech Stack / Keywords

GenAIData ScienceBackendCloudAISoftware DevelopmentAzureDatabases

Firma i stanowisko

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.

Wymagania

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

Obowiązki

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

Benefity

Hybrid working model with minimum 2 days in the office per week, flexible start times, workation, and sabbatical leave
Full support during onboarding, mentoring from experienced colleagues, training sessions, workshops, and certification co/financed by PwC
Wide medical and well-being program including medical care package, physiotherapy, discounts on dental care, coaching, mindfulness sessions, psychological support, educational webinars and workshops, financial and legal advice
Possibility to create an individual benefits package including lunch pass, insurance packages, concierge, veterinary package for pets, massages, and access to a cafeteria with vouchers and discounts on IT equipment and car purchase
Three paid hours for volunteering per month
Additional paid Birthday Day off

Elastyczne godziny

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PwC

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