Data Quality Engineer (German-speaking) (m/f)

Job Description & Summary Are you a hands-on data engineer who cares about trust, reliability, and production-grade data? We’re looking for a technical Data Quality Engineer to help design and build scalable data quality capabilities for clients in German-speaking markets. This is a client-facing role , so strong communication skills are essential—but the core of the job is technical: pipelines, integrations, rules/frameworks, and modern data platforms . You’ll work in and around modern data platforms such as Databricks, Snowflake, BigQuery (or similar) , building and operating data quality pipelines and integrations that make data products reliable and measurable. What you’ll work on (project examples) Implementing data quality checks in data pipelines (validation, reconciliation, anomaly detection, rule-based controls) Building reusable data quality frameworks and tooling (e.g., Great Expectations, Soda, Ataccama, Informatica, or similar) Integrating quality signals into CI/CD and delivery processes (test evidence, release readiness, monitoring) Creating measurable quality KPIs/metrics and quality reporting dashboards Exploring AI/ML-assisted approaches to data quality (profiling, anomaly detection, intelligent rule suggestions) Key Responsibilities Design and implement data quality frameworks, rules, and tooling tailored to platform and business needs. Build and maintain data quality pipelines and integrations within modern data platforms (Databricks/Snowflake/BigQuery or similar). Define quality KPIs/metrics and ensure results are visible through reporting and stakeholder-ready outputs. Collaborate with engineering and client stakeholders to translate data quality needs into practical technical solutions. AI/ML advantage Apply (or show strong interest in applying) AI/ML methods to improve data quality processes (e.g., anomaly detection, automated profiling, intelligent rule suggestions). Requirements of the role Hands-on experience working within modern data platforms (Databricks, Snowflake, BigQuery, or similar). Proven technical ability to build/maintain pipelines and integrations (SQL + Python and/or Spark depending on platform). Experience designing and implementing data quality rules, frameworks, and tooling (Great Expectations, Soda, Ataccama, Informatica, or comparable). Strong communication skills and confidence in a client-facing environment (German-speaking stakeholders). Nice to have Experience with data observability practices (monitoring, alerting, incident reduction, SLA/SLO thinking) Experience with CI/CD, DevOps practices, and production operations for data workloads Familiarity with reporting/dashboarding for quality KPIs Prior consulting/project delivery experience What we offer: 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. Additional Information: Final salary is subject to seniority and position. From 2000 - 2800 EUR/month. The annual bonus is a non-guaranteed part of the overall compensation package. Whether it is awarded and in what amount depends on the company’s financial performance in the given financial year, as well as on the employee’s individual year-end performance review. For this position, the annual bonus can range from EUR 0 to the equivalent of 2 monthly salaries. Contract type: Full-time Start date: By agreement Benefits you can enjoy while working at PwC 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 bene fits 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. Information about the selection process: 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: 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: #LI-VB1