Data Quality Engineer (German-speaking) (m/f)
PwC Canada — Bratislava
Posted 2026-08-04
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