Data Quality Engineer (German-speaking) (m/f)
Core
Design and build scalable data quality capabilities, pipelines, and frameworks for clients in German-speaking markets to ensure data reliability and trust.
Role type
Data Quality Engineer
Builds
Data quality pipelines, integrations, frameworks, and reporting dashboards
Domain
Financial consulting / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Spark, data pipeline design, data quality rules, framework implementation (Great Expectations, Soda, Ataccama, Informatica), CI/CD integration, anomaly detection, data profiling
Preferred skills
Data observability practices, DevOps, reporting/dashboarding, consulting/project delivery experience, AI/ML methods for data quality
Technologies
Databricks, Snowflake, BigQuery, Great Expectations, Soda, Ataccama, Informatica
Responsibilities
Design and implement data quality frameworks tailored to platform and business needs; Build and maintain data quality pipelines and integrations within modern data platforms; Define quality KPIs/metrics and ensure results are visible through reporting; Collaborate with engineering and client stakeholders to translate data quality needs into practical technical solutions
Seniority
Mid-Senior, hands-on IC
