Data Engineer (Azure/ Databrick)- Insurance 30-45k

Michael Page International (Hong Kong) Limited

Hong Kong

On-site

HKD 400,000 - 600,000

Full time

14 days+
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Benefits offered by this job

Renewable contract offering stability and growth opportunities
Exposure to innovative projects in the insurance industry
Opportunities to work with a dedicated and skilled technology team

Job summary

A leading recruitment firm in Hong Kong is seeking a Data Engineer who will design scalable data pipelines and ensure data integrity in business operations. The ideal candidate will have proficiency in programming languages like Python and SQL, along with experience in cloud-based platforms. This role offers opportunities to work on innovative projects with a skilled technology team, ensuring exposure to the financial industry. A renewable contract is available, promising stability and growth.

Qualifications

  • Strong understanding of data engineering principles and practices.
  • Proficiency in programming languages such as Python, SQL, or similar.
  • Experience with cloud-based data platforms and tools.
  • Knowledge of database management systems and ETL pipelines.
  • Ability to work collaboratively in a technology-focused environment.
  • Analytical mindset with excellent problem-solving skills.

Responsibilities

  • Designing, developing, and maintaining scalable data pipelines and systems.
  • Collaborating with stakeholders to gather and process data requirements.
  • Ensuring data integrity, security, and accessibility for business needs.
  • Optimizing data workflows and identifying areas for improvement.
  • Implementing data quality frameworks to ensure accuracy and reliability.
  • Supporting the integration of data from various sources into unified systems.
  • Providing technical expertise in data engineering tools and platforms.
  • Documenting processes and workflows for future reference and scalability.

Skills

Data engineering principles
Python
SQL
Cloud-based data platforms
Database management
ETL pipelines
Problem-solving

Job description

  • Great Learning Platform
  • Good Exposure to Financial Industry
About Our Client

The employer is a large organization in the insurance industry with a strong presence. They are known for their focus on technology and data-driven solutions to enhance business operations.

Job Description

As a Data Engineer, your main responsibilities will include:

  • Designing, developing, and maintaining scalable data pipelines and systems.
  • Collaborating with stakeholders to gather and process data requirements.
  • Ensuring data integrity, security, and accessibility for business needs.
  • Optimizing data workflows and identifying areas for improvement.
  • Implementing data quality frameworks to ensure accuracy and reliability.
  • Supporting the integration of data from various sources into unified systems.
  • Providing technical expertise in data engineering tools and platforms.
  • Documenting processes and workflows for future reference and scalability.
The Successful Applicant

A successful Data Engineer should have:

  • A strong understanding of data engineering principles and practices.
  • Proficiency in programming languages such as Python, SQL, or similar.
  • Experience with cloud-based data platforms and tools.
  • Knowledge of database management systems and ETL pipelines.
  • The ability to work collaboratively in a technology-focused environment.
  • An analytical mindset with excellent problem-solving skills.
What's on Offer
  • Renewable contract offering stability and growth opportunities.
  • Exposure to innovative projects in the insurance industry.
  • Opportunities to work with a dedicated and skilled technology team.
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