- Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
24 days
Data Jobs in Bandar Kuala Lumpur - October 2026 - Urgent Hiring
Showing 38 jobs results for
"data"
in Bandar Kuala Lumpur
- Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
23 days
- Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
3 days
- Lead engagements with diverse stakeholders to identify and translate business challenges into scalable data and analytics solutions
30+ days
- Lead engagements with diverse stakeholders to identify and translate business challenges into scalable data and analytics solutions
29 days
- Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
25 days
- Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques.
10 days
- Lead engagements with diverse stakeholders to identify and translate business challenges into scalable data and analytics solutions
7 days
- Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques.
30+ days
- Work with diverse stakeholders to identify their challenges with data that can be addressed using various Analysis techniques.
30+ days
- Lead a team of data scientists and AI specialists across both technical and business workstreams
30+ days
- Lead a team of data scientists and AI specialists across both technical and business workstreams
30+ days
- Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.
11 days
- Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.
30+ days
- Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.
30+ days
- Lead the delivery of end-to-end AI and data science engagements, from problem definition and solution design through deployment and adoption.
26 days
- Lead a team of data scientists and AI specialists across both technical and business workstreams
11 days
- Strong cloud architecture expertise (Azure, AWS, GCP) across large project with 2-3 years min. experience in doing cloud projects
9 days
- Strong cloud architecture expertise (Azure, AWS, GCP) across large project with 2-3 years min. experience in doing cloud projects
30+ days
- Strong cloud architecture expertise (Azure, AWS, GCP) across large project with 2-3 years min. experience in doing cloud projects
30+ days
- Develop comprehensive project plans defining project scope, goals, deliverables, and timelines.
30+ days
- Develop comprehensive project plans defining project scope, goals, deliverables, and timelines.
14 days
- Develop comprehensive project plans defining project scope, goals, deliverables, and timelines.
30+ days
- Collaborate with business stakeholders to define, analyse, and document business requirements (i.e. BRD)
9 days
- Collaborate with business stakeholders to define, analyse, and document business requirements (i.e. BRD)
30+ days
- Collaborate with business stakeholders to define, analyse, and document business requirements (i.e. BRD)
30+ days
- Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
30+ days
- Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
10 days
- Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
30+ days
- Collaborate with business stakeholders to define, analyse, and document business requirements (i.e. BRD)
10 days
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