Data Engineer (Power BI, Data Engineering, SQL)

About Mercedes-Benz Tech Malaysia (MBTMY)

Mercedes-Benz Tech Malaysia (MBTMY), established in 2003, is a global technology hub within the Mercedes-Benz Group. We play a key role in the company’s digital transformation by delivering innovative digital solutions across the entire value chain.

With over 300 technology professionals, MBTMY contributes to a wide range of areas including software engineering, data and analytics, cybersecurity, cloud infrastructure, DevOps and artificial intelligence. From enhancing in-car digital experiences to improving global vehicle sales platforms and advancing AI and security initiatives, our teams help drive high-impact technology solutions for Mercedes-Benz worldwide. Our culture is built on agility, collaboration and continuous learning.

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.

Job Description

• 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 3 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.

Technical

• SQL/noSQL
• Python or R
• Microsoft Power BI
• Databricks
• Extollo
• Data Engineering and Data Warehousing
• Cloud Computing and Data Architectures