Template 2.9 ★

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

• This role will lead a team of data warehouse engineers in designing, building and maintaining our data warehouse. You will also be responsible for working with stakeholders to identify and prioritize data warehousing needs.
  
  
  

Accountability

• Deliver data quality of Data Warehouse team
• Build & develop capability of data warehouse team
• Deliver data service which act as a feasible, reliable, transparent data source for advanced analysis & AI/ML models purpose.
• Contribute & driven in enhance data security & data governance framework.
  
  
  

Key Responsibilities

• Maintain and Enhance Data Quality:
• Contribute, follow & enforce data quality standards and guidelines to ensure accurate, reliable, and robust data warehouse services.
• Build, Deliver & Monitor Data Services:
• Define data warehouse models, build and deliver reliability and efficiency data warehouse services, ensure adherence to quality standard, and optimize for analytics purpose.
• Collaborate and Advise:
• Monitor team's resource(budget, personnel, hardware, software, ...), communicate & work with IT team, to ensure the stability of infrastructure for data science projects & data warehouse services.
• Work closely with data science, data analysis, and data delivery team to identify and prioritize data warehousing needs.
• Communicate quality standards to teams and provide training and support as necessary.
• Documentation:
• Ensure thorough documentation of data quality standards, procedures, and guidelines.
• Continuous Development:
• Involve in team's activity & strengthen team's engagement.
• Manage a team up to 4 members, provide guidance support in task delivery & skillset improvement.
• Identify & develop required skillset that best fit for company & personal career path.
  
  
  

Demand & Productivity driver

• 5 years or experience working in Data Engineer with 2 years at project lead level.
• Strong technical understanding & experience of data modeling, data warehousing architecture and ETL process.
• Strong programming skills (e.g., Python, SQL, ...)
• Strong Technical understanding of Big Data technology and open source system.
• Experience in hands-on, planning, organizing, and managing resource in deliver data warehouse project.
• Strong understanding of data quality delivery(term, process, framework, tools, ...).
• Well communicate skill with internal team and external client stakeholder.
• Experience with cloud computing platforms.
  
  
  

Education

• Bachelor’s degree in Computer Science, Information Technology Engineer, or equivalent fields.
• Master’s degree in Computer Science, Financial analysis business fields (e.g. MBA, Finance, Business Analytics, etc.) would be considered as a strong plus
  
  
  

Key Stakeholders

• Internal Data Platform team
• Regional Data Community of Practice
  
  
  

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.