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Sime Darby Motors

Sime Darby Motors is the automotive arm of Sime Darby Berhad and is involved in the retail, distribution and assembly businesses. It has operations in ten markets across the Asia Pacific region.
With over 40 years of experience, Sime Darby Motors is a major industry player in the Asia-Pacific region. Sime Darby Motors currently represents 30 brands, ranging from luxury brands (such as BMW, McLaren and Rolls Royce) to various mass market brands like Ford, Peugeot and Hyundai, and trucking names like Hino and Mack.
In 2023, Sime Darby Motors entered the Indonesian automotive market through PT Performance Indonesia, a joint venture between Sime Singapore Limited and Galeon Group.
Source: <a href="https://www.simedarbymotors.com/about-us/overview" target="_self">simedarbymotors.com</a>

Who We Are

Our colleagues are committed and excited to develop our Business with our Brand Partners, seeking excellence in the way we go about our work.&nbsp;
We will further grow in our Asia Pacific markets and do so with targeted investments whilst providing everyone with the highest customer experience in all of our showrooms and workshops.
Source: <a href="https://www.simedarbymotors.com/about-us/overview" target="_self">simedarbymotors.com</a>

Our Values

Company :Sime Darby Auto Bavaria Sdn. Bhd.Job Description:Data Engineering (L4)<ul><li>Designs, implements and maintains complex data engineering solutions to acquire and prepare data.</li><li>Creates and maintains data pipelines to connect data across data stores, applications and organisations. Builds in compliance with data governance and security standards.</li><li>Supports the development of continuous integration and deployment practices. Establish and manage CI/CD pipelines to automate the build, test, and deployment processes.</li><li>Monitors and optimises pipeline performance and scalability.</li><li>Conducts complex data quality checking and remediation. Leads data migration and data conversion activities.</li></ul>Data Platform Administration and operation (L4)<ul><li>Applies technical expertise to maintain and optimise databases, executing updates and employing automation tools. Configures tools and/or creates scripts to automate database tasks.</li><li>Maintains operational procedures and checks that they are followed. Uses database management tools to monitor load and performance statistics.</li><li>Investigates and enables the resolution of database operational issues. Provides reports and proposals for improvement to stakeholders.</li><li>Contributes to the planning and implementation of database maintenance and updates. Implements agreed database changes and maintenance routines.</li></ul>Data Management (L4)<ul><li>Implements standard data management practices based on detailed organisational requirements.</li><li>Monitors and maintains data quality through regular reviews and validation checks.</li><li>Communicates the details of data management procedures to others, helping with their understanding and compliance.</li></ul>Data Visualisation (L3)<ul><li>Uses visualisation products, as guided, to design and create data visuals.</li><li>Selects appropriate visualisation techniques from the options available.</li><li>Engages with the target user to prototype and refine specified visualisations.</li><li>Assists in developing narratives around data sets to support understanding and decision-making.</li></ul>Machine Learning and AI (L2,3)<ul><li>Assists in data preparation, model training, and evaluation tasks under routine supervision.</li><li>Applies established machine learning techniques and algorithms to solve business problems.</li><li>Selects and prepares data for model training and evaluation.</li><li>Uses standard machine learning frameworks and tools to develop basic models for well-defined problems.</li><li>Documents results and contributes to maintaining machine learning solutions.</li><li>Trains, optimises, and validates machine learning models using standard tools and frameworks.</li><li>Deploys models into production and monitors their performance. Communicates results and limitations to stakeholders.</li></ul>Job Requirements:<h2>Level 300- Level 400 knowledge of one of more of the following technology domains:</h2><ul><li>Power BI, Qlik Sense</li><li>Azure Data platform – Synapse Analytics, Data Factory, Azure Data Lake, Azure SQL, Azure DevOps</li><li>SQL scripting</li><li>Azure AI and Machine Learning</li><li>iPaaS Integration tool – Workato</li><li>Minimum 3 years’ experience in operating data platform technology focusing on Data Engineering aspect.</li><li>Ability to understand business problems and identify the relevant solution</li><li>Experience with technical requirement analysis, business process modelling/mapping, methodology development and data modelling – including designing, creating, and deploying report, dashboards and data models</li><li>Excellent analytical and numerical skills</li><li>Good interpersonal skills</li><li>Excellent problem-solving skills</li><li>Strong oral and written communication skills</li><li>Ability to work well in a team</li><li>Ability and willingness to adapt quickly to change and the ability to shift quickly as priorities and circumstances change.</li><li>Aptitude for acquiring new skills and knowledge</li></ul><h1></h1><h1>Build Your Future with Sime Darby Motors</h1>About us :Sime Darby Motors is the automotive arm of Sime Darby Berhad and is involved in the retail, distribution and assembly businesses. It has operations in nine markets across the Asia Pacific region. With over 40 years of experience, Sime Darby Motors is a major industry player in the Asia-Pacific region. Sime Darby Motors currently represents 30 brands, ranging from luxury brands (such as BMW, McLaren and Rolls Royce) to various mass market brands like Ford, Peugeot and Hyundai, and trucking names like Hino and Mack.

This job is about managing and optimizing complex data systems for Sime Darby Auto Bavaria. You might like this job because it involves working with advanced technologies like Azure Data platform and Power BI, contributing to machine learning projects, and collaborating with various stakeholders.

Company :Sime Darby Auto Bavaria Sdn. Bhd.Job Description:Data Engineering (L4)

-Designs, implements and maintains complex data engineering solutions to acquire and prepare data.

-Creates and maintains data pipelines to connect data across data stores, applications and organisations. Builds in compliance with data governance and security standards.

-Supports the development of continuous integration and deployment practices. Establish and manage CI/CD pipelines to automate the build,...

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Sime Darby Motors