Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Bangkok, Thailand"), this listing's salary midpoint is about 95% lower. The offer sits below the benchmark range (€9,260–€13,890). The listed pay band (€528–€717) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Backend Engineer | €3,600/per month | €6,511/per month | €15,826/per month |
| All roles in Bangkok, Thailand | €9,260/per month | €13,890/per month | €13,890/per month |
| Pay in our data — not quoted in ad (Executive) | €528/per month | €623/per month | €717/per month |
The Role: We are seeking a Principal Engineer to drive innovation across our AI-powered data experience and platform infrastructure. This role combines leading the development of AI-powered data querying — enabling users to ask business questions in natural language and receive actionable insights — while shaping the evolution of our data quality tools, and analytical engines such as StarRocks. This position is based in Bangkok, Thailand. Relocation support is provided. Lead the development of AI-powered data querying solutions, architect and develop scalable data quality tools and frameworks, mentor engineers, and collaborate with TPMs to define the technical vision. 10+ years of experience, strong hands-on with SQL and large-scale data systems, and experience with AI/LLM-based applications are preferred.
Job Details
Responsibilities
- Lead the development of AI-powered data querying solutions
- Architect and develop scalable data quality tools and frameworks
- Mentor engineers and raise standards across data quality & governance tools
- Collaborate with TPMs and stakeholders to define the technical vision and roadmap
Requirements
- 10+ years of experience in software engineering, data engineering, or related fields
- Strong hands-on experience with SQL and large-scale data systems
- Backend development (e.g., Python, Java, Scala or similar)
- Experience building or working with AI/LLM-based applications
- Data platforms or analytical infrastructure at scale
- Excellent communication skills
Skills & Technologies
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