Trading Data Platform Lead

NLS Executive Search; Hong Kong; On-site; HKD 1,200,000 - 1,800,000; Full time

Job summary

NLS Executive Search, on behalf of a client, seeks a Data Engineering Lead to design, build and operate data platforms supporting trading, risk and analytics. You will lead a small data team, partner with stakeholders across Trading, Quant/Research, Risk and Technology, and drive engineering best practices for scalability and operational excellence.

You will own end-to-end data pipelines, build scalable architectures, and ensure data quality, governance, and production readiness, while

Qualifications

• 8+ years of data engineering / data platform experience.
• Proficient in Python and SQL.
• Proven track record designing and operating production data pipelines.
• Strong experience with modern data tooling and data governance concepts.
• Experience in monitoring, reliability, and operational practices for data workloads.
• Experience in trading environments (market data, risk data).
• Cloud exposure and infrastructure-as-code knowledge (Terraform).
• Experience leading teams or mentoring engineers.

Responsibilities

• Lead end-to-end development of data pipelines (batch/streaming) for market, reference, and trade data.
• Design scalable data architectures (lakehouse/warehouse) for accessible, governed data.
• Own data ingestion from internal/external sources and manage end-to-end data flow reliability.
• Implement data quality checks, reconciliation, and monitoring.
• Build data products for dashboards, research, reporting, and risk analytics.
• Ensure production readiness: monitoring, incident response, runbooks, CI/CD.

Skills

Python

SQL

Data pipelines

Data governance

Monitoring/ops

Cloud platforms

Team leadership

Stakeholder collaboration

Tools

Terraform

AWS/Azure/GCP

Job description

NLS Executive Search, on behalf of a client, seeks a Data Engineering Lead to design, build and operate data platforms supporting trading, risk and analytics. You will lead a small data team, partner with stakeholders across Trading, Quant/Research, Risk and Technology, and drive engineering best practices for scalability and operational excellence.

You will own end-to-end data pipelines, build scalable architectures, and ensure data quality, governance, and production readiness, while