- Collibra Implementation: Lead the end-to-end setup of the Collibra Data Intelligence Cloud, including the Data Catalog, Business Glossary, and Policy Manager.
30+ days
Data Jobs in Bandar Kuala Lumpur - October 2026 - Urgent Hiring
Showing 43 jobs results for
"data"
in Bandar Kuala Lumpur
- Collibra Implementation: Lead the end-to-end setup of the Collibra Data Intelligence Cloud, including the Data Catalog, Business Glossary, and Policy Manager.
30+ days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
30+ days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc ).
30+ days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
28 days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
14 days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
8 days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
8 days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc ).
21 days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
6 days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
3 days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
3 days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
14 days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
14 days
- Support the project teams in applying emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
22 days
- Support the project teams in applying emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
1 day
- Analyzing and understanding the business processes before identifying and communicating the technical software requirements.
30+ days
- Partner closely with clients to assess data and AI maturity, define responsible AI strategies, and design AI operating models aligned with business goals and regulatory standards.
10 days
- Partner closely with clients to assess data and AI maturity, define responsible AI strategies, and design AI operating models aligned with business goals and regulatory standards.
10 days
- Analyzing and understanding the business processes before identifying and communicating the technical software requirements.
21 days
- Partner closely with clients to assess data and AI maturity, define responsible AI strategies, and design AI operating models aligned with business goals and regulatory standards.
30+ days
- Partner closely with clients to assess data and AI maturity, define responsible AI strategies, and design AI operating models aligned with business goals and regulatory standards.
21 days
- Design and deliver end-to-end AI and data solutions using leading hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake etc).
21 days
- Engage clients in workshops and interviews to analyze process and reporting requirements
30+ days
- Engage clients in workshops and interviews to analyze process and reporting requirements
20 days
- Requirements gathering; configuring of Workday solution, demonstrating the configurations through the development of prototype systems, and assist the client in testing
30+ days
- Requirements gathering; configuring of Workday solution, demonstrating the configurations through the development of prototype systems, and assist the client in testing
22 days
- Requirements gathering; configuring of Workday solution, demonstrating the configurations through the development of prototype systems, and assist the client in testing
1 day
- Requirements gathering; configuring of Workday solution, demonstrating the configurations through the development of prototype systems, and assist the client in testing
30+ days
- You may be assigned as Level 2 AMS support between Business/Client IT Team, partnering systems, and Application Managed Services (AMS) team. In this role, you are expected
30+ days
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