Data Engineer

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 Job Summary: We are seeking a highly skilled and experienced Senior Data Engineer to join our team.

The ideal candidate will have 5+ years of experience in data engineering, with a strong focus on building and maintaining solutions for data quality, metadata management, data lineage and data governance. This role requires technical expertise, problem-solving abilities, and a collaborative mindset to enhance the organization’s data management capabilities.

Job Description Key Responsibilities: Design and implement frameworks for data quality validation, including rules, thresholds, and metrics to ensure high-quality data. Automate data quality monitoring and anomaly detection using tools or custom scripts. Collaborate with data stewards to resolve data quality issues and improve processes.

Develop and maintain centralized metadata repositories to ensure accurate and up-to-date metadata. Automate metadata extraction, data lineage tracking, and validation processes. Integrate metadata management solutions with tools like Informatica EDC, Axon, or similar platforms. Work closely with the Data Governance team to implement data governance policies and data standards across the data lifecycle.

Create and maintain pipelines to enable data lineage, audit trails, and compliance reporting. Support the adoption of governance tools and frameworks to ensure consistent data usage. Build robust, scalable, and secure ETL/ELT pipelines for structured and unstructured data. Optimize data ingestion, transformation, and storage for hybrid (on-premises and on cloud) environments.

Ensure data pipeline reliability and performance through monitoring and testing. Work closely with data stewards, data analysts, and data governance teams to align engineering efforts with business needs. Mentor junior team members on best practices in data engineering and governance. Required Qualifications: Experience: 5-10 years of experience in data engineering, with a focus on data quality, metadata, data lineage and data governance.

Technical Skills: Strong programming skills in Python , SQL , or Scala ; experience with modern data frameworks such as Py. Spark and dbt (Data Build Tool) is a plus. Expertise in ETL/ELT tools like Informatica Intelligent Data Management Cloud (IDMC) , Talend , Apache Ni. Fi , or similar cloud-native solutions. Proficiency with metadata management platforms such as Informatica EDC , Collibra , or Alation , including automation of metadata ingestion, classification, and lineage mapping.

Hands-on experience with data quality tools (e.g., Informatica Data Engineering Quality (DEQ) , Collibra Data Quality & Observability , Great Expectations ) and custom validation scripting. Strong knowledge of data governance frameworks and tools (e.g., Informatica Axon , Collibra Governance , Alation Data Governance ).

Experience with cloud data platforms and databases (e.g., Snowflake , Databricks , Oracle , SQL Server ), as well as data lake/lakehouse architectures . Familiarity with multi-cloud and hybrid environments (e.g., AWS , Azure , Google Cloud Platform ) and their native data services. Practical experience applying Generative AI and Large Language Models (LLMs) for: Metadata automation (auto-tagging, semantic enrichment, and data catalog population) Anomaly detection in pipelines and datasets using AI-driven observability tools Data quality improvement through AI-based rules generation, pattern recognition, and automated remediation suggestions Soft Skills: Strong problem-solving and analytical abilities.

Excellent communication and collaboration skills. Ability to mentor and guide junior team members.

Preferred Qualifications

Certifications in relevant areas, such as: Data Governance: Certified Data Governance Professional (CDGP) or equivalent. Data Engineering: AWS Certified Data Analytics, Azure Data Engineer Associate, or Google Professional Data Engineer. Experience with Generative AI solutions for metadata and anomaly detection. Familiarity with agile methodologies and tools like Jira or Confluence.

Recruiter Suphapitch Jarajteerapoj (ศุภาพิชญ์ จรัสธีรพจน์)