19 hours ago

Associate Director, Data and Analytics Specialist (Guangzhou, GD, CN, 510620)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Lead design and review of Data Platform as a Service solutions, balancing resilience, performance, cost, and time-to-market. Drive engineering excellence through CI/CD, automated testing, code quality, and release governance. Create reference architectures and reusable patterns for ingestion, transformation, and serving on cloud-native, open-source stacks. Stay current on applied AI/ML (including generative AI) to embed practical AI into data and engineering workflows while maintaining engineering quality.

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Director level

Key Responsibilities

•Lead Data Platform as a Service solution design and reviews, making trade-offs across resilience, performance, cost, and time-to-market.
•Drive engineering excellence including CI/CD, automated testing, code quality, and release governance.
•Guide engineers/teams through complexity and raise engineering standards through day-to-day actions.
•Define reference architectures and reusable patterns for ingestion, transformation, and serving on cloud-native technology stacks using open source stacks.
•Evolve AI/ML capabilities by identifying opportunities to embed AI into data and engineering workflows (including generative AI) while maintaining engineering quality.

Key Requirements

•10+ years of experience in relevant technologies.
•Deep expertise designing and implementing Data Platform services across global functions with strong teamwork, analysis, judgment, decision-making, and communication skills.
•Solid record delivering data technologies globally, including communicating key trends (Data & AI) and regulatory expectations (e.g., Data Privacy, Data Localization).
•Data engineering experience with Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, and RDBMS, using open source stacks and Cloud SQL.
•Expertise in cloud-native technologies and engineering practices including Git, Jenkins, Airflow, Pub/Sub/Kafka, and CI/CD; practical Agentic Engineering/LLM endpoint experience and DevSecOps/IT automation practices.

Experience:Data engineeringCloud-nativeAI/MLDevOpsOpen source

Skills:TeamworkCommunicationJudgmentDecision makingContinuous improvement

Tech Stack:PythonDataflowPub/SubBigQueryHadoopNiFiKafkaRDBMSCloud SQLGitJenkinsAirflowCI/CDDevOpsDevSecOpsDORAOpen SourceLLMAgentic Engineering

Company Brief

HSBC

Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn

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HSBC

19 hours ago

Associate Director, Data and Analytics Specialist (Guangzhou, GD, CN, 510620)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Director level

Key Responsibilities

•Lead Data Platform as a Service solution design and reviews, making trade-offs across resilience, performance, cost, and time-to-market.
•Drive engineering excellence including CI/CD, automated testing, code quality, and release governance.
•Guide engineers/teams through complexity and raise engineering standards through day-to-day actions.
•Define reference architectures and reusable patterns for ingestion, transformation, and serving on cloud-native technology stacks using open source stacks.
•Evolve AI/ML capabilities by identifying opportunities to embed AI into data and engineering workflows (including generative AI) while maintaining engineering quality.

Key Requirements

•10+ years of experience in relevant technologies.
•Deep expertise designing and implementing Data Platform services across global functions with strong teamwork, analysis, judgment, decision-making, and communication skills.
•Solid record delivering data technologies globally, including communicating key trends (Data & AI) and regulatory expectations (e.g., Data Privacy, Data Localization).
•Data engineering experience with Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, and RDBMS, using open source stacks and Cloud SQL.
•Expertise in cloud-native technologies and engineering practices including Git, Jenkins, Airflow, Pub/Sub/Kafka, and CI/CD; practical Agentic Engineering/LLM endpoint experience and DevSecOps/IT automation practices.

Experience:Data engineeringCloud-nativeAI/MLDevOpsOpen source

Skills:TeamworkCommunicationJudgmentDecision makingContinuous improvement

Tech Stack:PythonDataflowPub/SubBigQueryHadoopNiFiKafkaRDBMSCloud SQLGitJenkinsAirflowCI/CDDevOpsDevSecOpsDORAOpen SourceLLMAgentic Engineering

Company Brief

HSBC

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn