Position overviewPosted 1 week ago

Senior Data Engineer (Banking)

Capco →
Not specified5+ years of experience in data engineering or related roles

Thailand - Bangkok

Compensation
THB 90,000 - THB 140,000
THB / month

Estimated range. Confirm compensation with the employer.

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Listing record updated: October 16, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.

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About the position

Capco, a Wipro company, is hiring a Senior Data Engineer to support BankX's digital banking platform. The role focuses on designing, building, and maintaining scalable data pipelines and infrastructure for analytics, AI/ML, and business intelligence use cases.

Responsibilities include building ETL/ELT workflows, implementing Lakehouse architecture with Azure Data Services, Databricks, and Delta Lake, ensuring data quality and governance, and collaborating with Data Architects, Data Scientists, and Analysts. Candidates need 5+ years of data engineering experience, strong SQL and Python skills, hands-on Azure/Databricks/Delta Lake experience, and intermediate Thai and English proficiency.

Responsibilities

Design, develop, and maintain scalable data pipelines for batch and real-time data processing

Build and optimize data ingestion, transformation, and loading (ETL/ELT) workflows

Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse architecture

Ensure data quality, reliability, and availability across all data products

Collaborate with Data Architects, Data Scientists, and Analysts; support data governance and PDPA compliance

Requirements

5+ years of experience in data engineering or related roles

Strong proficiency in SQL and Python for data transformation and processing

Hands-on experience with Azure Data Services, Databricks, and Delta Lake

Experience building and maintaining ETL/ELT pipelines at scale

Proficient in Thai and English at intermediate level or above

Nice to have

Experience in banking, fintech, or other regulated industries

Knowledge of streaming technologies such as Apache Kafka or Azure Event Hubs

Familiarity with CI/CD practices and infrastructure-as-code for data pipelines

Exposure to Unity Catalog, Azure Purview, or similar metadata management tools

Experience working in Agile/Scrum environments

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