Group Data Quality Engineer (Sales & Finance)

Quick Facts

• Focus area: Sales and Finance data quality within a BI Platform team
• Key outcome: Transparent, measurable sales and financial performance metrics

Description

You will design and continuously improve data quality controls for Sales and Finance data products. You will translate business rules into measurable data quality rules and automated tests, and support decision-making through dashboards, scorecards, and root-cause analysis of data anomalies. Automated data quality checks will be embedded into data pipelines, with critical data elements and validation standards maintained end to end.

Responsibilities

• Design, implement, and continuously improve data quality controls for Sales and Finance data products
• Translate business rules into measurable data quality rules and automated tests
• Build and maintain data quality dashboards and scorecards
• Analyze data anomalies and perform root cause analysis
• Embed automated data quality checks into data pipelines
• Define and maintain critical data elements and validation standards
• Partner with stakeholders to enhance data reliability
• Contribute to shared engineering standards and reusable components

Requirements

• Degree in computer science, business informatics, data engineering, mathematics, finance, or industrial engineering
• Several years of practical experience in data quality or data engineering roles
• Strong SQL skills with hands-on experience in data validation and automated testing
• Experience with cloud data platforms and data pipelines, ideally Snowflake
• Knowledge of data quality dimensions and data governance principles
• Understanding of Sales and Finance processes and associated data management
• Proficiency in scripting, preferably Python
• Strong analytical skills and attention to detail
• Ability to effectively communicate quality issues to business stakeholders
• Very good English skills; proficiency in German or other European languages is a plus

Benefits

Not specified in the provided posting.