Total 4,205 data entry clerk job vacancies in Hong Kong

We are seeking an experienced Data Architecture & Innovation specialist to drive enterprise-wide data and innovation initiatives across the organization.

This role will be responsible for shaping the enterprise data landscape, governing data architecture, evaluating emerging technologies, and driving business transformation through innovative solutions. The successful candidate will work closely with business and technology stakeholders to deliver scalable, future-ready platforms and improve operational efficiency.

Key Responsibilities

Data Architecture & Technology Innovation

• Define and govern enterprise data architecture, including Data Fabric and integration frameworks.
• Evaluate and implement emerging technologies such as AI, IoT, automation, and advanced analytics platforms.
• Drive enterprise-wide data transformation initiatives and technology adoption.

Data Platforms & Integration

• Oversee the architecture and integration of enterprise data platforms and interfaces.
• Collaborate with internal teams and technology partners to ensure scalable, secure, and efficient data solutions.
• Establish best practices for data integration, interoperability, and platform governance.

Business Transformation & Process Optimisation

• Identify opportunities to improve business processes through technology, automation, and AI-driven solutions.
• Lead initiatives to improve operational efficiency and deliver measurable business value.
• Develop and execute innovation roadmaps aligned with business objectives.

Stakeholder & Vendor Management

• Partner closely with business, IT, and external vendors to deliver strategic technology initiatives.
• Present recommendations, architecture designs, and innovation strategies to senior management.
• Manage vendor engagements, project deliverables, and implementation activities.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Minimum 7 years of experience in Data Architecture, Enterprise Architecture, Data Platforms, or Technology Innovation.
• Strong experience in enterprise data architecture, data platforms, and integration technologies.
• Experience with Data Fabric architectures, data integration frameworks, and enterprise data ecosystems.
• Good understanding of emerging technologies such as AI, automation, IoT, and advanced analytics.
• Experience with analytics and visualization tools such as Tableau and Power BI will be advantageous.
• Strong stakeholder management, communication, and project leadership skills.
• Experience in process optimisation, digital transformation, or enterprise innovation initiatives is highly preferred.

Preferred Skills

• Knowledge of automation technologies and RPA solutions.
• Familiarity with enterprise architecture principles and governance frameworks.
• Exposure to Lean, Six Sigma, or process improvement methodologies will be an advantage.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at kinlong.fok@quesscorp.sg with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Quess Selection & Services Pte Ltd

EA Licence No: 23C2060 | EAP Registration No: R2095054

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA

· Background in engineering, computer engineering, computer science, mathematics, statistics, or equivalent.

· Strong technical knowledge in AI

· Good understanding of the latest research and technologies in AI for productiondeployment

· Strong coding experience in programming languages such as Python and/or C++

· Experience working with libraries for data manipulation, visualization, machine learning, and reporting.

· Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch

· Extensive experience with OpenAI and Claude code-based prompt engineering.

· Hands-on experience developing and deploying AI agents, RAG and vector/graph databases.

· Strong understanding of 3D geometry, vector math, and coordinate systems

· Experience with algorithms for mesh manipulation, Boolean operations, and geometrictransformations

· Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)

· Team player with the ability to work in a cross-functional team with excellent interpersonal skills

· Strong communication skills, both verbal and written, as well as strong presentation and engagement skills

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Responsibilities:

• Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
• Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
• Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions.
• Develop dashboards and data visualisations to effectively communicate insights to technical and non-technical audiences.
• Stay current with emerging data science trends, tools, and methodologies, applying relevant advancements where appropriate.
• Contribute to the establishment and enhancement of data governance, data quality, and analytics best practices.

Requirements

• Master’s degree or PhD in Data Science, Statistics, Machine Learning, Computer Science, or a related quantitative discipline.
• Significant hands-on experience in data science or advanced analytics roles, preferably within complex engineering or operational environments.
• Strong proficiency in Python and/or SQL, with experience using machine learning libraries and frameworks.
• Demonstrated ability to manage multiple projects concurrently and deliver high-quality outcomes in a fast-paced setting.
• Strong analytical and problem-solving skills, with the ability to interpret and extract insights from complex datasets.
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts clearly to non-technical audiences.
• Familiarity with enterprise systems (e.g. PLM, MES, MRO) and cloud platforms such as AWS will be advantageous.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900