Senior Data Engineer - IO Tech Solutions

IO Tech Solutions Limited; Hong Kong; On-site; HKD 900,000 - 1,200,000; Full time

Job summary

IO Tech Solutions in Hong Kong is seeking a Senior Data Engineer to own the redesign of complex relational data schemas, bridging business logic and core engineering to power downstream AI platforms and client engines.

The role requires hands-on SQL mastery across SQL Server, Oracle, and PostgreSQL, and strong collaboration with PMs, BAs, and developers to translate business needs into data models. Financial services experience is highly regarded.

Qualifications

• Based in Hong Kong with Cantonese/Mandarin fluency.
• Proven record designing complex relational schemas from scratch (not just DBA work).
• Hands-on SQL mastery across SQL Server, Oracle, and PostgreSQL.
• Strong ability to translate business needs into data models with PMs, BAs, and developers.
• Experience in Financial Services or enterprise-scale data is highly regarded.

Responsibilities

• Own the central data architecture for a flagship modernization.
• Build scalable data structures powering downstream AI platforms, publishing, and client engines.
• Collaborate in a fast-paced team of technical leads and product owners.

Skills

Data modeling

SQL mastery

Cross-functional collaboration

Tools

SQL Server

Oracle

PostgreSQL

Job description

Senior Data Engineer - IO Tech Solutions

We've partnered with an established financial group undergoing a major tech modernization across its regional business units.

They are hiring a Senior Data Engineer in Hong Kong to own the redesign of complex relational data schemas. You'll bridge business logic and core engineering to build scalable structures powering downstream AI, publishing, and client platforms.

• & : Must be based in Hong Kong with Cantonese/Mandarin fluency (Chinese speaker preferred).
• : Requires a proven record designing complex relational schemas from scratch (beyond standard DBA work).
• -: Requires hands‑on SQL mastery across SQL Server, Oracle, and PostgreSQL.
• -: Requires strong ability to collaborate with PMs, BAs, and developers to translate business needs into data models.
• : Financial Services or enterprise‑scale data exposure highly regarded.
• : Take full ownership of central data architecture for a flagship modernization.
• : Opportunity for annual renewal based on performance and project milestones.
• : Build next‑gen data foundations feeding live AI platforms and client engines.
• : Work in a fast‑paced, collaborative team of technical leads and product owners.