Data Engineer (Governance)

Location: Bangkok

Time Type: Full time

Job Description

Become a part of Thailand’s no.1 Digital Service Provider, Who strives to provide best services that help people fulfil their dreams.

We are looking for potential candidates who are eager to learn and grow to join our young talent team.

Job Posting Location

Bangkok

Job Summary

We are seeking an experienced Senior Data Engineer to join our Data Governance team, with a strong focus on Data Quality, Metadata Management, Data Lineage, and Enterprise Data Governance. This role supports enterprise-scale data platforms in hybrid (on-premises and cloud) environments and works closely with Data Stewards, Analysts, and Platform teams to ensure trusted, well-governed data across the organization.

Job Description

Key Responsibilities

• Design and implement data quality frameworks, validation rules, metrics, and automated monitoring.
• Develop solutions for data anomaly detection and data quality issue analysis.
• Build and maintain metadata repositories and end-to-end data lineage across data pipelines.
• Integrate data quality and metadata solutions with governance tools
• Support implementation of data governance policies, standards, and controls across the data lifecycle.
• Design and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Optimize data pipelines for hybrid data platforms (on-premises and cloud).
• Collaborate with Data Stewards, Analysts, and Governance teams to align technical solutions with business needs.
• Mentor junior engineers and promote best practices in data engineering and governance.

Experience

• 5–10 years of experience in Data Engineering, with exposure to data quality, metadata, lineage, or data governance.

Technical Skills

• Strong skills in Python and SQL (Scala is a plus).
• Experience with PySpark, dbt, or modern data processing frameworks.
• Hands-on experience with ETL/ELT tools such as Informatica IDMC, Talend, or Apache NiFi.
• Experience with metadata and governance tools (e.g., Informatica EDC, Axon, Collibra, Alation).
• Familiarity with data platforms such as Databricks, Snowflake, Oracle, SQL Server, and data lake/lakehouse architectures.
• Experience working in hybrid or multi-cloud environments (Azure, AWS, GCP).
• Experience applying Generative AI / LLMs for metadata automation, data quality improvement, or anomaly detection.

Soft Skills

• Strong analytical and problem-solving skills.
• Good communication and collaboration skills.
• Ability to mentor and work effectively in cross-functional teams.

Recruiter

Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง)