Data Quality Consultant– German Projects
Core
Designing, implementing, and continuously improving data quality frameworks and processes across modern data platforms for clients in the financial services sector.
Role type
Data Quality Consultant (Financial Services)
Builds
Automated data quality checks, quality reporting dashboards, and integrated data quality capabilities into data pipelines.
Domain
Financial Services (Banks, Insurance, Investment Firms) + Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
Data quality management, modern data platforms (Databricks, Snowflake, BigQuery), data quality rules definition, KPI/metrics design, data quality reporting
Preferred skills
AI/ML methods for data quality (anomaly detection, automated profiling), interdisciplinary background (business + technology)
Technologies
Databricks, Snowflake, BigQuery, Power BI, Python, Alteryx, Tableau, Azure, Power Platform
Responsibilities
Designing and maintaining data quality frameworks, defining and implementing data quality rules and checks, supporting integration of data quality into data platforms, collaborating with stakeholders to embed data quality standards, communicating data quality concepts and results
Seniority
Mid-level (3+ years experience)
