Data Engineering Manager

PwC Polska; Warszawa; Hybrid; PLN 250,000 - 350,000; Full time

Benefits offered by this job

Hybrid working model

Training and certification

Medical care package

Volunteering hours

Paid Birthday Day off

Job summary

PwC Polska is seeking a Data Engineering Manager to lead hybrid initiatives, balancing business development with hands-on technical delivery. The role demands strong collaboration with AI and Software Development teams to implement innovative solutions across various industries.

The ideal candidate should possess at least 8 years of experience in data engineering, with proven skills in cloud data platforms and effective stakeholder management. Fluency in both English and Polish is essential. The position also offers a range of flexible working conditions and comprehensive benefits.

Qualifications

• At least 8 years of professional experience in data engineering.
• Proven experience in client-facing activities.
• Hands-on experience with cloud data platforms.
• Fluency in English and Polish.

Responsibilities

• Hybrid leadership role in business development and technical delivery.
• Cooperate with AI Engineering and Software Development teams.
• Support pre-sales activities and client communication.
• Act as a Data Architect on client projects.

Skills

Data engineering

Cloud data platforms

Python

SQL

Stakeholder management

Data Governance

Agile methodologies

Pre-sales activities

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

MS Fabric

Snowflake

Job description

In PwC Poland's Digital&IPA we create innovative applications and deliver data-driven insights by combining software engineering expertise with advanced data analysis, including GenAI applications. Our capabilities span across data science, UX design, business intelligence, data engineering, frontend & backend development and cloud solutions. Our multidisciplinary approach ensures that we deliver comprehensive, impactful solutions that drive business success. We carry out projects in various industries, including banking, insurance and retail, supporting clients from Europe, the USA, South America, and Asia.

Data Engineering Manager

Responsibilities

• 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.

Qualifications

• 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).

Benefits

• 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.