Key skills
BigQueryAIMLSnowflakeDatabricksCommunication
About this role
Role Overview
- 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.
Requirements
- 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).
- Proven experience defining data quality rules, KPIs/metrics, and designing quality reporting dashboards.
- Hands-on experience or demonstrated interest in applying AI/ML methods to data quality processes.
- Excellent communication and stakeholder engagement skills with the ability to translate technical data quality topics into business language.
- Structured, analytical, and proactive mindset.
- Experience using German at B2-C1 level and English at C1 level in a professional environment.
Tech Stack
- BigQuery
Benefits
- Experience from large transformation projects for multinational clients.
- Working in German – most of our colleagues are native speakers.
- 45,000 benefit points for sports, meal vouchers, pharmacy, or cultural experiences.
- High-end Ultrabook and iPhone with unlimited data.
- Paid time off: 25 days, 3 wellbeing days, and up to 2 extra "Christmas" days off.
- Flexible work schedule or occasional work from home.
- Regular professional training in various areas – business, technical, and soft skills, through the Digital Upskilling Academy or our Technology communities, where we hold various training sessions.
- Support from more experienced colleagues in the team, or even a buddy to help you along the way.
- Regular feedback on your work, also consultation with a coach with whom you can address your further development and career direction.