Lead Data Platform Engineer - Finance (ETL, Lakehouse, AI)

Techforce Group Limited; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Techforce Group Limited seeks a Data Platform Engineer Lead to steer a team of Data Engineers and shape enterprise data platforms, data lakes, and lakehouses. You will guide ETL/ELT development, data migrations, and pipelines using SQL, PL/SQL and Python, while ensuring quality and delivery timelines across HK teams.

You will collaborate with PMs, Data Analysts, and architects to translate business requirements into scalable data solutions supporting analytics, ML, and Generative AI initiatives.

Qualifications

• 7+ years IT/data engineering experience with senior/leadership exposure.
• Experience coordinating internal teams and vendors, owning technical delivery.
• Strong English and Chinese communication across technical and business stakeholders.

Responsibilities

• Lead and coordinate a team of Data Engineers, providing technical direction and ensuring timely delivery.
• Drive design and implementation of enterprise data platforms, data lakes, lakehouses, and target-state architectures.
• Hands-on leadership for ETL/ELT processes, data migrations, and pipelines (SQL/PL/SQL, Python).
• Enforce engineering standards for data quality, security, governance, and performance.
• Partner with PMs to manage priorities, dependencies, risks, and milestones.
• Collaborate with Data Analysts, Architects, and business stakeholders to translate requirements into scalable solutions.
• Support analytics, machine learning, and Generative AI use cases with robust data foundations.

Skills

Data Platform

Data Engineering

Databricks

Python

SQL

Tools

Databricks

Microsoft Fabric

Job description

Techforce Group Limited seeks a Data Platform Engineer Lead to steer a team of Data Engineers and shape enterprise data platforms, data lakes, and lakehouses. You will guide ETL/ELT development, data migrations, and pipelines using SQL, PL/SQL and Python, while ensuring quality and delivery timelines across HK teams.

You will collaborate with PMs, Data Analysts, and architects to translate business requirements into scalable data solutions supporting analytics, ML, and Generative AI initiatives.