2 months ago
Bangkok, ThailandMid Level
Responsibilities
- Design, develop, and maintain scalable batch and real-time data pipelines.
- Build and optimize data ingestion, transformation, and ETL/ELT workflows.
- Implement Lakehouse architecture using Azure Data Services, Databricks, and Delta Lake.
- Ensure data quality, reliability, availability, governance, metadata management, and lineage across data products.
- Collaborate with Data Architects, Data Scientists, and Analysts on data models, architecture standards, and model-ready datasets.
- Ensure pipelines comply with PDPA, data classification, and security requirements.
- Monitor pipeline performance and troubleshoot production data issues.
- Participate in code reviews and promote engineering best practices.
Requirements
- At least 4 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.
- Familiarity with data modeling concepts and distributed data systems.
- Understanding of data governance, data quality, and security practices.
- Intermediate or higher proficiency in Thai and English for technical discussions, meetings, and written documentation.
- Preferred experience in banking, fintech, or other regulated industries.
- Preferred knowledge of Apache Kafka or Azure Event Hubs.
- Preferred familiarity with CI/CD practices and infrastructure-as-code for data pipelines.
- Preferred exposure to Unity Catalog, Azure Purview, or similar metadata management tools.
- Preferred experience in Agile/Scrum environments.
Benefits
- Work on transformative projects for major banks and insurance companies in a collaborative, flat, entrepreneurial consulting culture.
- Access continuous learning, training, and industry certifications.
- Receive ongoing opportunities to develop skills in financial services offerings.
- Work in an inclusive, diverse, meritocratic, and non-hierarchical culture with direct client and senior partner access.
- The posting indicates a hybrid work arrangement (#LI-Hybrid).
Tech Stack
Categories
Data Engineering
About Capco
Capco is a global technology and management consultancy focused on financial services, helping banks, capital markets, insurance, and wealth firms with digital transformation, risk and compliance, and data/AI-enabled modernization. Founded in 1998 and headquartered in London, it operates as a Wipro company. Its business model centers on project-based consulting, managed services, and solution delivery across strategy, engineering, and platforms for regulated institutions.