Job Description & Summary
Language: German B2–C1 (must) + English B2–C1 (must)
Join PwC’s growing Data & AI consulting team supporting German-speaking clients on complex transformation project. We’re hiring a German-Speaking Data Engineer to build and run modern data pipelines and platforms—while also contributing to two key focus areas within the project: data quality engineering (rules, monitoring, tooling) and data governance implementation (stewardship/ownership, metadata, compliance, tool adoption). This is a client-facing role combining hands-on engineering with structured problem-solving and clear communication.
As a Data Engineer, you will design, implement, and operate scalable data pipelines on modern data platforms. Beyond core engineering delivery, you’ll help ensure data is trusted and reusable by embedding quality controls and supporting governance practices that meet enterprise and regulatory expectations.
Build and maintain scalable data pipelines and integrations across structured and semi-structured sources
Develop and optimize transformations on modern data platforms (e.g., Databricks, Snowflake, BigQuery, or similar)
Partner with engineering and business stakeholders to deliver reliable datasets for analytics, reporting, and AI use cases
Ensure operational readiness: monitoring, troubleshooting, and continuous improvement of pipeline performance and stability
Within Data Quality focus, implement data quality checks and monitoring, defining rules and KPIs/metrics, and work with data quality tooling/frameworks (e.g., Great Expectations, Soda, Ataccama, Informatica, or similar)
Within Data Governance focus, support implementation of governance practices such as stewardship/ownership models, metadata discipline, and policy alignment, and drive or support adoption of governance tools (e.g., Collibra, Alation, Informatica, or similar)
Strong hands-on Data Engineering experience (pipelines, transformations, integrations, production mindset)
Experience with modern data platforms (e.g., Databricks, Snowflake, BigQuery, or similar)
Practical exposure to data quality and/or data governance in enterprise environments (one can be stronger than the other)
Excellent communication and stakeholder engagement skills—able to translate technical topics into business language
German B2–C1 and English C1 professional proficiency, used in a client-facing or cross-functional environment
Structured, analytical, proactive mindset with a solution-oriented approach
Direct experience with data quality tooling (Great Expectations, Soda, Ataccama, Informatica)
Direct experience with governance tooling (Collibra, Alation, Informatica) and tool adoption/onboarding
Interest or exposure to AI-enabled approaches in data quality/governance
Experience working in regulated industries (banking/insurance/financial services)
Work on impactful German-speaking client projects in modern data engineering
Build highly transferable skills across data platforms, quality, and governance
Be part of a new and growing team, with avenues for career advancement and development.
Flexible working arrangements, including travel to Prague or Germany for collaboration and training.
Join a robust team that values independence and teamwork in a collaborative setting.
Engage with the latest technological solutions that drive financial consulting forward.
Final salary is subject to seniority and position. From 2 000 EUR/gross/monthly.
For candidates with many years of experience, the salary is negotiable based on experience and proven seniority.
Contract type: Full-time
Start date: By agreement
Financial Rewards: Benefit from regular salary reviews, performance bonuses and other special bonuses. Enjoy meal contributions and a cafeteria benefit system offering personalized choices.
Flexibility & Work-Life Balance: Enjoy our hybrid working policy, flexible working hours, 2 extra days off during Christmas along with Sick-days. Every minute of your extra work is valued and compensated.
Career Development: Engage in tailored internal and external training programs as well as structured career development plan.
Health & Well-being: Access premium benefits such as Multisport card, physiotherapy consultations, or a medical center membership. Take advantage of our Well-being and Work-Life Coaching program.
Supportive Culture: Participate in teambuilding activities and social events and join our employee referral program. Experience a culture with regular feedback and a supportive environment.
Global Opportunities: Seize the opportunity for international assignments and work on diverse projects with international clients. Explore the world while working with the possibility of working from abroad.
Extra perks: Use various discounts at partner companies such as cars, health care, beauty, culture or others. Transfer up to 4 telephone numbers at discounted rates.
If you'd like to apply for this position, please click on the "Apply Now" button on our website and apply through our system.
You can find the data privacy announcement here: https://pwc.to/2s8n2tn
We seek to hire people who are great at what they do and bring our behaviours to life in how they do it. Our PwC Professional framework guides us to work together to create a better tomorrow. Together, Trusted Leadership and Distinctive Outcomes are how we deliver on our purpose and strategy, serving our clients and living our values in every interaction, everyday. The PwC Professional framework defines the behaviours we’re all expected to demonstrate at PwC and what we look for in our future talent.
If the current position is not right for you but you have friends or acquaintances in your area who could be interested in working with us, feel free to direct them to us. If we establish cooperation with a candidate recommended by you, you can receive a reward from 300 to 1000 EUR, depending on the seniority of the candidate: https://www.pwc.com/sk/en/careers/get-rewarded-for-recommending-candidate.html
#LI-VB1