One Bangkok : Data Engineer

Job Description

We are seeking an experienced Data Engineer to support the design, implementation, and ongoing management of a cloud-based data platform. This role will be responsible for building robust data pipelines, ensuring data quality and governance, and enabling scalable analytics and AI use cases across a mixed-use development. The ideal candidate combines strong technical expertise with practical experience in production environments and can work closely with cross-functional teams, vendors, and business stakeholders.

Job Summary

• Design, build, and maintain scalable data pipelines (batch and streaming)
• Ingest data from multiple sources (IoT systems, enterprise systems, third-party APIs)
• Implement ETL/ELT processes using GCP-native tools such as Cloud Dataflow, BigQuery, and Cloud Pub/Sub.
• Support the setup and enhancement of the overall data architecture on GCP
• Work with solution architects to define data models, storage, and processing layers
• Ensure platform scalability, performance, and cost efficiency
• Implement data validation, monitoring, and quality controls
• Support data cataloging, lineage, and metadata management
• Ensure compliance with internal data governance and security policies
• Monitor pipeline performance and troubleshoot issues
• Optimize jobs for reliability and cost
• Manage production deployments and version control
• Collaborate with DevOps for CI/CD pipelines
• Work closely with internal teams (ICT, digital, operations)
• Coordinate with external vendors and system integrators
• Translate business requirements into technical data solutions
• Prepare clean, structured datasets for dashboards and AI models
• Support integration with BI tools (e.g., Looker, Power BI)
• Enable data availability for predictive analytics and smart city use cases

Key Qualification

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Experience

• 5 - 10 years of experience in data engineering, data platforms, or related roles
• Proven experience building and maintaining production-grade data pipelines
• Hands-on experience with GCP is highly preferred

Technical Skills

• Strong proficiency in SQL and Python
• Experience with distributed data processing and streaming technologies (e.g., Apache Beam/Dataflow, Apache Spark, Apache Kafka or Cloud Pub/Sub)
• Familiarity with GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
• Understanding of data warehousing and data lake concepts
• Experience with API integration and real-time data streaming

Data & Architecture Knowledge

• Strong understanding of data modeling (star schema, normalization)
• Knowledge of ETL vs ELT approaches
• Understanding of data lifecycle management
• Exposure to data governance frameworks is a plus

Soft Skills

• Strong problem-solving and analytical thinking
• Ability to work independently and manage multiple priorities
• Good communication skills to engage both technical and non-technical stakeholders

Preferred Background

• Experience in smart buildings, real estate, or mixed-use developments
• Exposure to IoT data integration (e.g., BMS, Wi-Fi analytics, sensors)
• Experience working in multi-vendor environments (SIAM model)