Data Engineer

We provide an environment where innovation can flourish, supported by strong technical leadership, cross-functional teamwork and a shared commitment to quality and excellence. We also offer flexible hybrid work arrangements, allowing team members to balance remote work with in-person collaboration at our vibrant Wisma Mercedes-Benz office in Puchong. A space designed to inspire creativity, innovation and meaningful connection.

• Implementation of product requirements in a software system based on one or more technologies or products.
• Requirements analysis and customer consulting for analytics topics.
• Identification, extraction, transformation and loading of data.
• Storing data in relational, multidimensional, and NoSQL databases or data lakes both on-premises and in the cloud.
• Modelling of data according to common methods for further processing.
• Testing and quality assurance of data.
• Use of source control and CI/CD processes.
• Analyse linking of data using SQL, statistics, and data science to generate new insights.
• Visualize data taking into account best practices such as information design with popular reporting and dashboarding systems.
• Provide data through file sharing or REST APIs.
• Creation of data architectures based on public cloud services.
• Collaboration in agile projects.

Qualifications

• Education in IT or related industry
• Minimum of 10 years’ working experience in a related field is required.
• Bachelor’s degree in computer science, Applied Mathematics, Engineering, or any other technology related field.

Experience

• Experience with Agile methodologies
• Experience with Enterprise technologies
• Experience with Product Oriented Teams
• Programming or Data Architecture related certification

Specific knowledge/ Skill

• Excellent communication skills
• Good customer service orientation
• Analytical, passionate and drives technology and product quality.
• Result-oriented thinking and action
• Has expertise in data modelling, data architectures for complex analytics architectures and requirements analysis.
• Independently educates oneself further and derives necessary changes for the team and the project.
• Has expert knowledge in the implementation and definition of reports and dashboards.

Responsibility and Scope for decision-making

• Independently advises clients on analytics systems and supports the development of data-driven decisions.
• Independently acquires new projects and products.
• Builds project and product teams.
• Supports the further development of team members.
• Delegates development tasks.
• Controls large or complex analytics projects.
• Connects and shares his/her knowledge within the company.