Data, Cloud & AI Engineering Opportunities (3 Openings)

Industry: Banking & Aviation Contract Type: 12-Month Rolling Contract (Renewable / Strong Conversion Potential) Location: Hong Kong (On-site / Hybrid depending on project) About the Opportunities We are supporting a major global consulting firm on large-scale digital transformation initiatives across aviation and banking. As the organisation expands its data and AI capabilities, we are hiring three engineers across data engineering, AI/ML, and cloud-based analytics. These roles are offered as 12

MatchTalent Limited - Hong Kong - Full time

Salary: base + gratuity

Industry: Banking & Aviation

Contract Type: 12-Month Rolling Contract (Renewable / Strong Conversion Potential)

Location: Hong Kong (On-site / Hybrid depending on project)

About the Opportunities

We are supporting a major global consulting firm on large-scale digital transformation initiatives across aviation and banking. As the organisation expands its data and AI capabilities, we are hiring three engineers across data engineering, AI/ML, and cloud-based analytics.

These roles are offered as 12-month rolling contracts , with high likelihood of extensions or permanent opportunities depending on project success.

Apply once — we will match you to the best-fit role.

Open Positions 1. Developer – PySpark (Banking)

Budget: HKD 26,000-32,000/month

Responsibilities
  • Develop, maintain, and optimise data pipelines using PySpark and related tools.
  • Perform ETL tasks to integrate information from multiple data sources.
  • Drive data quality improvements, performance tuning, and workflow automation.
  • Participate in documentation, testing, and code reviews.
  • Collaborate with cross-functional teams to support data analytics initiatives.
Requirements
  • 1–3+ years experience in Python with strong understanding of data structures and libraries (e.g., Pandas).
  • Hands-on experience with Apache Spark , RDDs, DataFrames, and distributed processing.
  • Strong SQL knowledge for querying and transformation.
  • Able to analyse datasets and derive actionable insights.
  • Banking industry experience is an advantage.

2. Developer – Data (Banking)

Budget: HKD 25,000-32,000/month

Responsibilities
  • Write and maintain software and scripts for data processing and system integration.
  • Translate system requirements into functional code and reusable modules.
  • Monitor system performance and proactively resolve technical issues.
  • Prepare reports and documentation for internal stakeholders.
  • Support team members with troubleshooting and enhancements.
Requirements
  • Proficient in Python , Apache Spark , and Unix shell scripting .
  • Strong analytical, documentation, and communication skills.
  • Able to work independently and manage multiple assignments.
  • 1–3 years of relevant data engineering or backend development experience.
  • Experience with research, testing methodologies, and business systems preferred.

3. AI Engineer (Aviation)

Budget: HKD 30,000-40,000/month

Responsibilities
  • Build and optimise AI/ML models across NLP, RAG workflows, and computer vision.
  • Develop autonomous agent workflows (MCP or similar frameworks).
  • Integrate AI capabilities into mobile and web applications using Python.
  • Conduct performance tuning, testing, and model validation.
  • Document technical specifications, participate in reviews, and support deployment.
  • Work closely with engineering teams to embed AI within enterprise systems.
Requirements
  • Bachelors/Masters degree in Computer Science, Data Science, or related fields.
  • 1–5+ years experience in machine learning engineering or AI development.
  • Hands-on expertise with RAG pipelines , Azure AI services, and Python scripting.
  • Familiarity with containerised deployments (OpenShift, Kubernetes, or Docker).
  • Strong understanding of multi-step reasoning, embeddings, and ML experimentation.
  • Able to communicate complex AI concepts to non-technical stakeholders.

General Benefits
  • Join high-impact transformation projects across aviation and banking.
  • Work with modern data stacks, cloud ecosystems, and emerging AI frameworks.
  • Strong potential for contract renewal or permanent conversion.
  • Collaborative, technical environment with ongoing learning opportunities.

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