Temporary Data Engineer - Digitalisation Office

Delken Group Limited; Hong Kong; On-site; HKD 300,000 - 420,000; Part time

Job summary

Delken Group Limited in Hong Kong is seeking a Temporary Data Engineer for its Digitalisation Office. You will build distributed data pipelines that process massive data in batch and near real-time, enabling searching, visualization, and advanced analytics.

We require a university degree in CS/IS/Data Science or related fields, at least three years in data pipeline development or event-driven architecture, and strong communication in an international team. Experience with data security is a plus.

Qualifications

• University degree in CS/IS/Data Science or related fields.
• At least three years in data pipeline development / event-driven architecture.
• Data driven thinking capabilities.
• Excellent communication skills and experience in an international team.
• Solid grounding in Financial Service.
• Experience with data processing in large-scale enterprise environments is highly desired.
• Experience of implementing data security capabilities such as encryption, anonymization is a big plus.

Responsibilities

• Build distributed and highly parallelised data processing pipelines for massive data in batch and near real-time.
• Enrich and transform corporate data to enable searching, visualization, and analytics under a Continuous delivery model.
• Work with data scientists and business stakeholders to develop analytics models.
• Automate processes where possible to be repeatable and reliable.
• Collaborate with Architects, Platform Engineers and Product Management to deliver software in a CD environment.

Skills

Data pipeline development

Event-driven architecture

Data-driven thinking

Communication in international teams

Financial services familiarity

Education

Bachelor's degree in computer science, information systems, data science, or relevant fields

Job description

Delken Group Limited in Hong Kong is seeking a Temporary Data Engineer for its Digitalisation Office. You will build distributed data pipelines that process massive data in batch and near real-time, enabling searching, visualization, and advanced analytics.

We require a university degree in CS/IS/Data Science or related fields, at least three years in data pipeline development or event-driven architecture, and strong communication in an international team. Experience with data security is a plus.