HSBC

1 week ago

Consultant Specialist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Design and lead Data Platform as a Service solution reviews, balancing resilience, performance, cost, and time-to-market. Drive engineering excellence through CI/CD, automated testing, code quality, and release governance, while guiding teams through complex delivery. Define reference architectures and reusable patterns for ingestion, transformation, and serving on cloud-native open source stacks. Stay current on applied AI/ML (including GenAI) to embed intelligence into data and engineering workflows.

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead Data Platform as a Service solution design and reviews, managing trade-offs across resilience, performance, cost, and time-to-market.
•Drive engineering excellence using CI/CD, automated testing, code quality, and release governance.
•Guide engineers/teams through complexity to 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.
•Focus on applied AI/ML evolution to identify practical opportunities to embed AI into data and engineering workflows while maintaining engineering quality.

Key Requirements

•5+ years of experience in relevant technologies.
•Deep expertise to implement Data Platform services, including teamwork, analysis, judgment, decision-making, and communication.
•Strong data technology delivery experience and ability to articulate key Data & AI trends and data privacy/localization expectations in context of HSBC.
•Hands-on data engineering with Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, and RDBMS using open-source stacks and Cloud SQL.
•Deep cloud-native expertise with Git, Jenkins, Airflow, Pub/Sub/Kafka, and CI/CD, plus practical experience with agentic engineering/LLM services and DevSecOps/IT automation.

Experience:5+ years

Skills:TeamworkCommunicationJudgmentDecision makingContinuous improvement

Tech Stack:PythonDataflowPub/SubBigQueryHadoopNiFiKafkaRDBMSCloud SQLOpen Source StacksGitJenkinsAirflowCI/CDDevOpsDORAAgentic EngineeringLLM servicesGenerative AIDevSecOps

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

Loading job details...

Preparing the role view and application actions.

HSBC

1 week ago

Consultant Specialist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead Data Platform as a Service solution design and reviews, managing trade-offs across resilience, performance, cost, and time-to-market.
•Drive engineering excellence using CI/CD, automated testing, code quality, and release governance.
•Guide engineers/teams through complexity to 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.
•Focus on applied AI/ML evolution to identify practical opportunities to embed AI into data and engineering workflows while maintaining engineering quality.

Key Requirements

•5+ years of experience in relevant technologies.
•Deep expertise to implement Data Platform services, including teamwork, analysis, judgment, decision-making, and communication.
•Strong data technology delivery experience and ability to articulate key Data & AI trends and data privacy/localization expectations in context of HSBC.
•Hands-on data engineering with Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, and RDBMS using open-source stacks and Cloud SQL.
•Deep cloud-native expertise with Git, Jenkins, Airflow, Pub/Sub/Kafka, and CI/CD, plus practical experience with agentic engineering/LLM services and DevSecOps/IT automation.

Experience:5+ years

Skills:TeamworkCommunicationJudgmentDecision makingContinuous improvement

Tech Stack:PythonDataflowPub/SubBigQueryHadoopNiFiKafkaRDBMSCloud SQLOpen Source StacksGitJenkinsAirflowCI/CDDevOpsDORAAgentic EngineeringLLM servicesGenerative AIDevSecOps

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