Data Quality Consultant– German Projects

Job Description & Summary About the team Our Czech team, mainly based in Prague, works closely with PwC Germany as a nearshore consulting team supporting transformation projects in the financial services sector. We bring together strong German language capabilities, consulting skills, and understanding of banking, insurance and other FS domains. We have been fully & seamlessly integrated with PwC Germany but you will also be part of the Czech technology consulting team and will have the opportunity to be involved in activities in both countries . About your manager Romana Mrazova is a Manager in PwC’s Technology Consulting practice. Since 2017, she has combined technology consulting with hands-on delivery, working on software development and digital transformation in the automotive and telecommunications sectors, including SAP transformations. Her work covers product management, business analysis, project governance, and test and release management, with a focus on product quality and delivery excellence. Romana brings clarity to complex challenges and helps turn priorities into results. She guides cross-functional teams, improves collaboration and strengthens agile ways of working. She lived and worked in Germany and China and speaks Czech, English and German. Job description & summary As a Data Quality Consultant, you will be responsible for designing, implementing, and continuously improving data quality frameworks and processes across modern data platforms. You will work on transformational projects for clients in the financial sector, especially banks, insurance companies, and investment firms in Germany. You will work closely with platform teams, data owners, and business stakeholders to ensure data is reliable, consistent, and fit for purpose. Your responsibilities will include: Designing, implementing, and maintaining data quality frameworks Defining and implementing data quality rules, checks, and reports in data quality tools Supporting the integration of data quality capabilities into data platforms (e.g. Databricks, Snowflake, BigQuery) Implementing and applying AI-based methods to optimize and automate data quality processes Collaborating with stakeholders to embed data quality standards into daily operations Communicating data quality concepts, issues, and results clearly to business and technical audiences Imagine working on projects like: Building Trusted Data for AI & Analytics – You help banks and insurance companies ensure that critical business decisions are based on reliable data. You design automated quality checks, identify data issues before they reach users, and create transparency across complex data landscapes. Data Quality Automation on Modern Data Platforms – You work with technologies such as Databricks, Snowflake, and BigQuery to embed data quality directly into data pipelines. By combining automation and AI-based methods, you help organizations detect anomalies faster and reduce manual effort. What matters to us Completed university degree in Economics, Business Administration, Finance, or a comparable field; candidates with an interdisciplinary background (e.g. business combined with technology, digital transformation, payments, or financial services) are also welcome 3 + years of relevant professional experience, ideally in financial services, consulting, banking, payments, fintech, or a related financial environment Experience with data quality management, including designing and implementing data quality frameworks, rules, and tooling Hands-on experience working within modern data platforms (e.g., Databricks, Snowflake, BigQuery, or similar), including building and maintaining data quality pipelines and integrations Proven experience defining data quality rules, KPIs/metrics, and designing quality reporting dashboards from scratch or expanding existing ones Experience using German at B2-C1 level and English at C1 level in a professional environment What will help you stand out Excellent communication and stakeholder engagement skills with the ability to translate technical data quality topics into business language. Structured, analytical, and proactive mindset Hands-on experience or demonstrated interest in applying AI/ML methods to data quality processes (e.g., anomaly detection, automated data profiling, intelligent rule suggestion) — considered a strong advantage Why you'll enjoy working here Professional growth that matches your ambitions and pace. Gain in months the kind of experience that can take years to build elsewhere. Fair pay with no gaps. We are among the few companies in the Czech Republic certified for Equal Pay . A flexible benefits programme with 45,000 points to spend on what matters most to you. 30 days of paid time off , including three well-being days and two additional days off at the end of the year. An opportunity to give back to the community with one paid volunteering day every year. The chance to work from one of PwC’s international offices (available from the Senior Associate level). We support your learning and development journey: Benefit from ongoing training and certifications in consulting, business, and technology skills, including Agile and project management, data analytics (Power BI, Python, Alteryx, Tableau), cloud and Microsoft technologies (Azure,Power Platform), business process analysis, and consulting essentials, such as stakeholder management, communication, and presentation skills. A buddy programme , regular feedback, and access to a coach who can support your professional development and career path. Extensive well-being support and initiatives promoting a healthy lifestyle, from Dr. Digital and Human Dynamic programmes to workplace yoga and running events. An ultrabook and an iPhone with unlimited data. Social events and Away Days . At PwC , we help clients solve today’s and tomorrow’s challenges across audit, consulting, tax, legal, technology, and data. We create an environment where people can learn, grow, and build a career in their own way. We believe the best results come from diverse experiences and perspectives. That’s why we foster an inclusive culture where everyone can be themselves, build on their strengths, and contribute to work that makes a real impact. Interested in joining us? We’d love to hear from you and tell you more about this opportunity. Ochrana osobních údajů pro žadatele o zaměstnání / Privacy Statement for Recruitment Applicants #LI-OrnyHunt