The Data Engineer is responsible for design OT-IT software architecture, develop and deploy the resources and ensuring the realization is as per design. This include end to end life cycle review and test. He/She is also responsible to present the architecture framework to stakeholder.


  • Design, build and deploy internal applications to support our technology life cycle, collaboration and spaces, service delivery management, data and business intelligence among others.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure/ AWS ‘big data’, IIOT technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Design scalable data model, simulation, allocation and effectiveness for different application including SQL and NoSQL modeling.
  • Apply Data management, data governance and security components.
  • Design OT-IT Data architecture and prepare the presentation material
  • OT/IT data Security (IoT Hub, data sharing, container registry, etc..)
  • Conduct audit and test to ensure the resources deploy CI/CD and configuration follow the design and governance.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.


  • Bachelor’s in Engineering,  IT, Computer Science with related Data Modelling and/or Azure Developer Certification will be an added advantage
  • Minimum 5 years of industry experience in software development, data engineering, business intelligence, data warehouse with experience in manipulating, processing, and extracting value from datasets.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and NoSQL database.
  • Strong hands-on in Data Modeling using some tolls such as Erwin, Rise, etc.
  • Hands-on experience for large scale enterprise data modelling for various application and data source
  • Hands-on experience for Data integration for unstructured and structure data
  • Hands-on experience with various data source such as TimeSeries SQL data, JSON, xml, etc.
  • Working knowledge of Continuous Integration (DevOps) and relevant tools such as Maven/Jenkins)
  • Deep knowledge on ISA 95 and ISA 88
  • Strong knowledge on Azure microservices to develop and deploy algorithm to make raw data useful to the enterprise
  • Strong experience on Data Warehouse, Common Data Extract.
  • Strong experience on data integration with business system such as SAP

Interested candidates, please send your updated resume in MS Word format with recent photograph to us at

Only shortlisted candidates will be notified.


EA Licence No.: 13C6409