Quality Engineer – Data Quality | SAP ECC & S/4HANA

Quality Engineer – Data Quality | SAP ECC & S/4HANA

We are looking for an experienced Quality Engineer / Data Quality Engineer with strong hands‑on experience across SAP ECC, SAP S/4HANA, Informatica CDQ/IDMC, Colibra, SQL, Python, and/ or Databricks.

Key Responsibilities

• Perform hands‑on data profiling across large and complex datasets.
• Design and implement data quality rules, validation checks, thresholds, and monitoring controls.
• Develop and manage profiling jobs and DQ rules using Informatica CDQ/IDMC.
• Investigate data quality issues, perform root‑cause analysis, and drive remediation through closure.
• Use SQL, Python, PySpark, Spark SQL, and Databricks for data analysis and quality automation.
• Support SAP ECC → S/4HANA migration and transformation initiatives, including data cleansing, mapping validation, reconciliation, and migration readiness.
• Build automated quality monitoring, alerts, KPIs, scorecards, and dashboards.
• Work across multiple source systems and collaborate with SAP, business, and data engineering teams.
• Maintain quality rules, profiling results, issue logs, remediation records, and technical documentation.

Required Experience

• Hands‑on SAP ECC experience – mandatory
• Hands‑on SAP S/4HANA experience – mandatory
• Experience with SAP data migration/transformation, ideally ECC to S/4HANA.
• Advanced SQL skills.
• Practical Python/PySpark and Databricks experience.
• Proven experience with data profiling, DQ rule development, issue investigation, remediation, and automated monitoring.
• Strong understanding of enterprise data flows and source systems.

We are looking for someone who has actually built, analysed, investigated, and improved data quality—not someone who has simply consumed data quality reports.