BI Engineer

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’re looking for a detail-oriented and business-savvy BI Engineer to join our growing data team. In this role, you'll collaborate with stakeholders across the organisation to build trusted, insightful, and scalable reporting solutions that drive data-informed decision-making.
As a BI Engineer, you will transform complex data into clear visual stories, standardise KPIs, and help scale our self-service analytics capabilities.

Job Description

Key Responsibilities

• Develop, maintain, and optimise dashboards, reports, and visual analytics using BI tools such as Tableau or equivalent
• Partner with business stakeholders to translate data needs into technical specifications and reporting logic
• Define and maintain standardised metrics and KPIs across domains (e.g., product, marketing, operations)
• Write efficient SQL queries and collaborate with data engineers on data models and semantic layers
• Enable and support self-service analytics by building curated datasets and reusable components
• Ensure data accuracy, consistency, and security in BI assets

Qualifications

• Bachelor’s degree in Information Technology, Computer Engineering, Computer Science, Business Analytics, or related field
• 3+ years of experience in BI/report development or analytics engineering, fresh graduate with strong potential will also be considered.
• Proficient in SQL and one or more BI tools (e.g., Tableau, Power BI, Looker, Superset)
• Familiarity with data modeling concepts (e.g., star/snowflake schema, dimensional modeling)
• Comfortable working with large datasets and cross-functional teams
• Strong attention to detail and a passion for turning data into actionable insights

Nice to Have

• Experience with modern data stacks (e.g., dbt, Airflow, cloud warehouses)
• Knowledge of version control tools (e.g., Git) and CI/CD concepts for BI assets
• Exposure to big data environments like Cloudera and Databricks

Recruiter

Suphapitch Jarajteerapoj (ศุภาพิชญ์ จรัสธีรพจน์)