Founded in 1901 as China Light and Power Company Limited in Hong Kong, CLP Group has grown from a Hong Kong-based power utility into a leading investor and operator in the Asia Pacific Region’s electricity market. Its portfolio comprises over 60 generation assets of gas, coal, nuclear and renewable energy, distribution and transmission assets and retail operations. The CLP Group is owned by CLP Holdings, a company listed on the Stock Exchange of Hong Kong.

Engineering a Lower Carbon Future:

CLP is uniquely placed to leverage its engineering excellence and successful track record of over 120 years to deliver sustainable and cutting-edge energy solutions to customers in Hong Kong and the Greater Bay Area, in our transition to a net-zero future.

Invest in our People:

To get there we are accelerating investment in new energy supplies, in smarter grids, in new digital and engineering technologies and in putting our customers first.  We are also investing in our people to learn and grow, creating new roles and exciting career opportunities.  As one CLP, we work as a team to deliver our climate vision for our communities, our customers and for the future.

Why join Digital:

·         As a key player in the energy industry; we are committed to transforming our business, actively challenging ourselves to change and find solutions that drive a low carbon future

·         We are committed to delivering meaningful digital solutions for our customers, people, and business, and believe this is key to disrupt and drive success both at CLP and within the energy market

·         We continue to drive a wiser and greener future through digital enablement and data-driven operations which have lasting impact on the people and communities we serve

·         We are dedicated to bringing in talent to strengthen our digital capabilities to create new business solutions that make a difference for current and future generations.

Key responsibilities:

·         Lead the strategic direction and design for the data and analytics data models, ensuring that data models is holistically designed across the new solution aligning to overall CLP data models 

·         Responsible for creating, documenting, maintaining and driving the understanding of data models and technical standards

·         Work with SI to define conceptual data model, logical data model and physical data model for all project in-scope solutions 

·         Ensure consistent language of data is used across projects aligning with the enterprise data catalogue

·         Developing efficient architecture principles to determine single source of truth for key data asset domains across source systems, operational data stores, and analytics data stores and 

·         Defining architecture standards and guidelines; creating documents, maintaining, and driving the understanding of data models and technical standards

·         Contributing to data governance by co-authoring and maintaining data policies, procedures, standards

·         Advising on best practices in data modelling, architecture, and governance to ensure consistent use and management of data

·         Work closely with Function and Technical Teams with the support from Senior Data Architects in Digital team on data mapping, conversion and migration activities  

Requirements:

·         Prior proven experience in creating, communicating, and implementing scalable enterprise data models​

·         Experience in Master Data Management, Data Warehouses, Data Governance, Data Analytics, data modelling (e.g., Navicat, ER/Studio or Erwin), Database Modelling​

·         Experience in ERP / Azure cloud platforms and technology​

·         Experience in the energy sector or other asset-intensive industries’ standard data models (e.g., IEC CIM) an advantage 

Technical / Functional Competencies:

·         Good communication and organizational skills​

·         Multitasking skills and task management strategies​

·         Able to adapt and work with colleagues from different functions with different business needs​

·         Able to compile and organize statistical information retrieved and present findings to stakeholders and management

Founded in 1901 as China Light and Power Company Limited in Hong Kong, CLP Group has grown from a Hong Kong-based power utility into a leading investor and operator in the Asia Pacific Region’s electricity market. Its portfolio comprises over 60 generation assets of gas, coal, nuclear and renewable energy, distribution and transmission assets and retail operations. The CLP Group is owned by CLP Holdings, a company listed on the Stock Exchange of Hong Kong.

Engineering a Lower Carbon Future:

CLP is uniquely placed to leverage its engineering excellence and successful track record of over 120 years to deliver sustainable and cutting-edge energy solutions to customers in Hong Kong and the Greater Bay Area, in our transition to a net-zero future.

Invest in our People:

To get there we are accelerating investment in new energy supplies, in smarter grids, in new digital and engineering technologies and in putting our customers first.  We are also investing in our people to learn and grow, creating new roles and exciting career opportunities.  As one CLP, we work as a team to deliver our climate vision for our communities, our customers and for the future.

Why join Digital:

·         As a key player in the energy industry; we are committed to transforming our business, actively challenging ourselves to change and find solutions that drive a low carbon future

·         We are committed to delivering meaningful digital solutions for our customers, people, and business, and believe this is key to disrupt and drive success both at CLP and within the energy market

·         We continue to drive a wiser and greener future through digital enablement and data-driven operations which have lasting impact on the people and communities we serve

·         We are dedicated to bringing in talent to strengthen our digital capabilities to create new business solutions that make a difference for current and future generations.

Key responsibilities:

·         Lead the strategic direction and design for the data and analytics data models, ensuring that data models is holistically designed across the new solution aligning to overall CLP data models 

·         Responsible for creating, documenting, maintaining and driving the understanding of data models and technical standards

·         Work with SI to define conceptual data model, logical data model and physical data model for all project in-scope solutions 

·         Ensure consistent language of data is used across projects aligning with the enterprise data catalogue

·         Developing efficient architecture principles to determine single source of truth for key data asset domains across source systems, operational data stores, and analytics data stores and 

·         Defining architecture standards and guidelines; creating documents, maintaining, and driving the understanding of data models and technical standards

·         Contributing to data governance by co-authoring and maintaining data policies, procedures, standards

·         Advising on best practices in data modelling, architecture, and governance to ensure consistent use and management of data

·         Work closely with Function and Technical Teams with the support from Senior Data Architects in Digital team on data mapping, conversion and migration activities  

Requirements:

·         Prior proven experience in creating, communicating, and implementing scalable enterprise data models​

·         Experience in Master Data Management, Data Warehouses, Data Governance, Data Analytics, data modelling (e.g., Navicat, ER/Studio or Erwin), Database Modelling​

·         Experience in ERP / Azure cloud platforms and technology​

·         Experience in the energy sector or other asset-intensive industries’ standard data models (e.g., IEC CIM) an advantage 

Technical / Functional Competencies:

·         Good communication and organizational skills​

·         Multitasking skills and task management strategies​

·         Able to adapt and work with colleagues from different functions with different business needs​

·         Able to compile and organize statistical information retrieved and present findings to stakeholders and management

Founded in 1901 as China Light and Power Company Limited in Hong Kong, CLP Group has grown from a Hong Kong-based power utility into a leading investor and operator in the Asia Pacific Region’s electricity market. Its portfolio comprises over 60 generation assets of gas, coal, nuclear and renewable energy, distribution and transmission assets and retail operations. The CLP Group is owned by CLP Holdings, a company listed on the Stock Exchange of Hong Kong.

Engineering a Lower Carbon Future:

CLP is uniquely placed to leverage its engineering excellence and successful track record of over 120 years to deliver sustainable and cutting-edge energy solutions to customers in Hong Kong and the Greater Bay Area, in our transition to a net-zero future.

Invest in our People:

To get there we are accelerating investment in new energy supplies, in smarter grids, in new digital and engineering technologies and in putting our customers first.  We are also investing in our people to learn and grow, creating new roles and exciting career opportunities.  As one CLP, we work as a team to deliver our climate vision for our communities, our customers and for the future.

Why join Digital:

·         As a key player in the energy industry; we are committed to transforming our business, actively challenging ourselves to change and find solutions that drive a low carbon future

·         We are committed to delivering meaningful digital solutions for our customers, people, and business, and believe this is key to disrupt and drive success both at CLP and within the energy market

·         We continue to drive a wiser and greener future through digital enablement and data-driven operations which have lasting impact on the people and communities we serve

·         We are dedicated to bringing in talent to strengthen our digital capabilities to create new business solutions that make a difference for current and future generations.

Key responsibilities:

·         Lead the strategic direction and design for the data and analytics data models, ensuring that data models is holistically designed across the new solution aligning to overall CLP data models 

·         Responsible for creating, documenting, maintaining and driving the understanding of data models and technical standards

·         Work with SI to define conceptual data model, logical data model and physical data model for all project in-scope solutions 

·         Ensure consistent language of data is used across projects aligning with the enterprise data catalogue

·         Developing efficient architecture principles to determine single source of truth for key data asset domains across source systems, operational data stores, and analytics data stores and 

·         Defining architecture standards and guidelines; creating documents, maintaining, and driving the understanding of data models and technical standards

·         Contributing to data governance by co-authoring and maintaining data policies, procedures, standards

·         Advising on best practices in data modelling, architecture, and governance to ensure consistent use and management of data

·         Work closely with Function and Technical Teams with the support from Senior Data Architects in Digital team on data mapping, conversion and migration activities  

Requirements:

·         Prior proven experience in creating, communicating, and implementing scalable enterprise data models​

·         Experience in Master Data Management, Data Warehouses, Data Governance, Data Analytics, data modelling (e.g., Navicat, ER/Studio or Erwin), Database Modelling​

·         Experience in ERP / Azure cloud platforms and technology​

·         Experience in the energy sector or other asset-intensive industries’ standard data models (e.g., IEC CIM) an advantage 

Technical / Functional Competencies:

·         Good communication and organizational skills​

·         Multitasking skills and task management strategies​

·         Able to adapt and work with colleagues from different functions with different business needs​

·         Able to compile and organize statistical information retrieved and present findings to stakeholders and management