Senior Data Quality Engineer – AI-Driven Data Integrity

Lenovo; Kuala Lumpur; On-site; MYR 180,000 - 260,000; Full time

Job summary

Lenovo is seeking a senior Data Quality Engineer to design, implement, and monitor scalable quality rules across enterprise data assets. You will collaborate with data platform teams to embed quality checks into pipelines and CI/CD workflows, enabling automated governance and remediation.

Strong SQL, Python, Spark, and cloud data tools are essential for success. With 8+ years in Data Quality, Data Governance, or Analytics Engineering, you will partner with business teams to translate

Qualifications

• Bachelor's degree or above in Computer Science, Information Systems, Data Engineering, Statistics, or a related discipline.
• 8+ years of experience in Data Quality, Data Engineering, Data Governance, Analytics Engineering, or related fields.
• Hands-on experience implementing enterprise data quality solutions and monitoring frameworks.
• Experience working with large-scale data platforms, data warehouses, data lakes, or lakehouse architectures.

Responsibilities

• Design, develop, and maintain scalable data quality rules, scorecards, and monitoring mechanisms across enterprise data assets.
• Develop automated data validation and reconciliation processes throughout data ingestion, transformation, and consumption layers.
• Design proper solution to integrate data quality checks into data pipelines and CI/CD deployment processes to enable automated quality enforcement.

Skills

SQL

Python

Spark/PySpark

Data profiling

ETL/ELT

Data modeling

Education

Bachelor's degree or above in Computer Science, Information Systems, Data Engineering, Statistics, or a related discipline

Tools

Databricks

Azure Data Factory

Azure Data Lake

Data quality tools

Metadata management

Catalog solutions

Job description

Lenovo is seeking a senior Data Quality Engineer to design, implement, and monitor scalable quality rules across enterprise data assets. You will collaborate with data platform teams to embed quality checks into pipelines and CI/CD workflows, enabling automated governance and remediation.

Strong SQL, Python, Spark, and cloud data tools are essential for success. With 8+ years in Data Quality, Data Governance, or Analytics Engineering, you will partner with business teams to translate