Data Quality Engineer– German Projects
About the team
About your manager
Job description & summary
As a Data Quality Analyst, you will be responsible for designing, implementing, and continuously improving data quality frameworks and processes across modern data platforms. 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
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
- 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
- Excellent communication and stakeholder engagement skills with the ability to translate technical data quality topics into business language. Structured, analytical, and proactive mindset
•
Why you'll enjoy working here
Professional growth
Fair pay
Equal Pay
.
- A flexible benefits programme with
45,000 points
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
We support your learning and development journey
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
Not included in the source posting: what you'll do, qualifications, benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.