Data Quality Engineer– German Projects
Core
Designing, implementing, and continuously improving data quality frameworks and processes across modern data platforms to ensure data is reliable, consistent, and fit for purpose.
Role type
Data Quality Analyst
Builds
Data quality frameworks, rules, checks, reports, and dashboards integrated into modern data platforms
Domain
Financial services, consulting, banking, payments, fintech
Deliverable
production ML models | dashboards & analysis
Required skills
Data quality management, modern data platforms (Databricks, Snowflake, BigQuery), data quality rules definition, KPI/metrics design, quality reporting dashboards, AI/ML methods for data quality
Preferred skills
AI/ML methods for anomaly detection and automated data profiling
Technologies
Databricks, Snowflake, BigQuery
Responsibilities
Designing and maintaining data quality frameworks, defining and implementing data quality rules and checks, supporting integration of data quality capabilities into data platforms, collaborating with stakeholders to embed data quality standards, applying AI-based methods to optimize data quality processes
Seniority
Mid-level, hands-on IC
