DataQualityEngineer(German-speaking)(m/f)

**Job Description & Summary** Are you a hands-on data engineer who cares about trust, reliability, and production-grade data? We’re looking for a **technical Data Quality Engineer** to help design and build scalable data quality capabilities for clients in German-speaking markets. This is a **client-facing role** , so strong communication skills are essential—but the core of the job is technical: **pipelines, integrations, rules/frameworks, and modern data platforms**. You’ll work in and around modern data platforms such as **Databricks, Snowflake, BigQuery (or similar)** , building and operating data quality pipelines and integrations that make data products reliable and measurable. ### ## ## What you’ll work on (project examples) * Implementing data quality checks in data pipelines (validation, reconciliation, anomaly detection, rule-based controls) * Building reusable data quality frameworks and tooling (e.g., Great Expectations, Soda, Ataccama, Informatica, or similar) * Integrating quality signals into CI/CD and delivery processes (test evidence, release readiness, monitoring) * Creating measurable quality KPIs/metrics and quality reporting dashboards * Exploring AI/ML-assisted approaches to data quality (profiling, anomaly detection, intelligent rule suggestions) ### ## ## Key Responsibilities * Design and implement **data quality frameworks, rules, and tooling** tailored to platform and business needs. * Build and maintain **data quality pipelines and integrations** within modern data platforms (Databricks/Snowflake/BigQuery or similar). * Define quality KPIs/metrics and ensure results are visible through reporting and stakeholder-ready outputs. * Collaborate with engineering and client stakeholders to translate data quality needs into practical technical solutions. ## **AI/ML advantage** * Apply (or show strong interest in applying) **AI/ML methods** to improve data quality processes (e.g., anomaly detection, automated profiling, intelligent rule suggestions