Job Description

DFI Retail Group (the Group') is a leading pan-Asian retailer. At 31st December 2021, the Group and its associates and joint ventures operated over 10,200 outlets and employed some 230,000 people. The DFI Retail Group (the Group') is a leading pan-Asian retailer. At 31st December 2021, the Group and its associates and joint ventures operated over 10,200 outlets and employed some 230,000 people. The Group had total annual sales in 2021 exceeding US$27 billion. The Group (including associates and joint ventures) operates under several well-known brands across food, health and beauty, home furnishings, restaurants, and other retailing. DFI digital is a new entity by DFI retail group to provide more advanced online shopping experience. The ecommerce platform includes all the ventures and bring it together under one hat. The Group provides quality and value to Asian consumers by offering leading brands, a compelling retail experience and great service all delivered through a strong store network supported by efficient supply chains. Headquarters in Hong Kong, DFI Digital was set up to innovate and optimize our customer's experience through digital transformation. Our customers start with our very own employees, as we believe that talents are core to an organization's success. This position is working for a pan-Asian retailer within the digital ecosystem and reports into the CIO. Seeking an experienced, enthusiastic, and hands-on Head of Data Engineering who has worked on implementing data platforms across multiple countries. The Data Engineer supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable, and secure manner. He/She focuses on defining optimal solutions to data collection, processing, and warehousing. The focus of the Data Engineering team will be on ingesting data to publish it to our lake house. He/She is proficient in data systems, from ingestion to publishing including improving data quality and data virtualization. He is also familiar with the Google Cloud Data Platform and Azure Data Platform on which the solution is deployed on. The Data Engineer is passionate about numbers and works with large data sets. He has a keenness for understanding business processes and resolving challenges in order to provide solutions with the help of clean and interlinked databases and architectures. KEY RESPONSIBILITIES: Manage the Data architecture and Data engineering team to support the organization. Overseeing the collection, storage, management, quality, and protection of data Building our Big Data Lake and infrastructure management, integrating existing data storages and date warehouses around the huge volumes of data being collected to meet business requirements Designing and delivering cloud-based big data solutions, data model and data analytics platforms Implementing efficient data pipelines to transform data from multiple data sources Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources Driving the advancement of Enterprise data infrastructure by designing and implementing the underlying logic and structure for how data are set up, cleansed, and ultimately stored for organizational usage Working with the latest open-source tools, libraries, platforms, and languages to build data products enabling other analysts to explore and interact with large and complex data sets Building robust systems, reusable code modules, and analytics tools that utilize the data pipeline, and creating data tools for analytics and data scientist team members to provide actionable insights Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Building data engineering capability by providing technical leadership and career development for the team Working with rest of Data Foundation organization to strive for greater functionality in our data systems, as well as to identify, plan, develop, and deliver data services PROFESSIONAL EXPERIENCE/ QUALIFICATIONS At least 10-15 years management experience in the Data Management Experience of management of data and analytics projects Experience of working on projects that have involved the introduction of new ways of working / processes / methodologies into a business Highly proficient in Data Platforms, methods, techniques, tools and management Strong vendor and people management skills NICE TO HAVE Experience of working to introduce agile/SCRUM into organizations Experience of innovation initiatives Retail merchandising and planogram industry experience