666 Azure Data jobs in Singapore

To apply, It will be great if you could share your CV to Alternatively, you can apply at
Permanent role with Europe MNC with high job stability
Large scale Data project
About the company
Our client is an established MNC with over 30 years of experience who is a market leader within their industry. As part of their plan to invest in technology, they are now hiring an experienced Data Engineer to join their team.
About the job
Analyze business requirements and translate them into scalable technical designs for our Enterprise Data Warehouse (EDW) and data marts.
Design, build, and maintain scalable and reliable ETL/ELT data pipelines and processes.
Building and managing Data Infrastructure that allows smooth data ingestion and increased reliability. Ensuring data is always available, accurate, and fast
Write clean, maintainable, and well-documented code with the support of external vendors / Offshore developers, reviewing codes and ensure that SLA is being adhered to
Proactively identify areas for improvement to continuously enhance existing data platform
Skills and experience required
As a successful applicant, you will have proven track record in designing and implementing robust data pipelines and ETL/ELT frameworks. Strong expertise in data warehouse design methodologies and data modeling.
Proven track record in Azure Data Factory is required for this role.
Whats on offer
This is an excellent opportunity to join an established company with heavy investments in Data.
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To apply, It will be great if you could share your CV to . Alternatively, you can apply at

• Permanent role with Europe MNC with high job stability
• Large scale Data project

About the company

Our client is an established MNC with over 30 years of experience who is a market leader within their industry. As part of their plan to invest in technology, they are now hiring an experienced Data Engineer to join their team.

About the job

• Analyze business requirements and translate them into scalable technical designs for our Enterprise Data Warehouse (EDW) and data marts.
• Design, build, and maintain scalable and reliable ETL/ELT data pipelines and processes.
• Building and managing Data Infrastructure that allows smooth data ingestion and increased reliability. Ensuring data is always available, accurate, and fast
• Write clean, maintainable, and well-documented code with the support of external vendors / Offshore developers, reviewing codes and ensure that SLA is being adhered to
• Proactively identify areas for improvement to continuously enhance existing data platform

Skills and experience required

As a successful applicant, you will have proven track record in designing and implementing robust data pipelines and ETL/ELT frameworks. Strong expertise in data warehouse design methodologies and data modeling.

Proven track record in Azure Data Factory is required for this role.

Whats on offer
This is an excellent opportunity to join an established company with heavy investments in Data.

To apply, It will be great if you could share your CV to . Alternatively, you can apply at (EA: 94C3609/ R )

To apply, It will be great if you could share your CV to . Alternatively, you can apply at

• Permanent role with Europe MNC with high job stability
• Large scale Data project

About the company

Our client is an established MNC with over 30 years of experience who is a market leader within their industry. As part of their plan to invest in technology, they are now hiring an experienced Data Engineer to join their team.

About the job

• Analyze business requirements and translate them into scalable technical designs for our Enterprise Data Warehouse (EDW) and data marts.
• Design, build, and maintain scalable and reliable ETL/ELT data pipelines and processes.
• Building and managing Data Infrastructure that allows smooth data ingestion and increased reliability. Ensuring data is always available, accurate, and fast
• Write clean, maintainable, and well-documented code with the support of external vendors / Offshore developers, reviewing codes and ensure that SLA is being adhered to
• Proactively identify areas for improvement to continuously enhance existing data platform

Skills and experience required

As a successful applicant, you will have proven track record in designing and implementing robust data pipelines and ETL/ELT frameworks. Strong expertise in data warehouse design methodologies and data modeling.

Proven track record in Azure Data Factory is required for this role.

Whats on offer
This is an excellent opportunity to join an established company with heavy investments in Data.

To apply, It will be great if you could share your CV to . Alternatively, you can apply at (EA: 94C3609/ R )

Overview
As the Azure Data Platform Technical Lead, you will plan on-premises system migration, covering migration methodology, data requirements, and compliance strategy, while providing insights to support the internal team in building an Azure data warehouse, Databricks, data pipelines, and Power BI reports.
Responsibilities
Assess current practices, processes, and procedures to identify opportunities for leveraging Microsoft Azure Data and Analytics Services.
Provide technical and thought leadership in data access, ingestion, processing, integration, modeling, database design, implementation, visualization, and advanced analytics.
Work with project managers to estimate technical tasks and deliverables while developing best practices, reusable frameworks, and naming standards for cloud-based data warehousing and ETL.
Qualifications
Bachelors degree in information technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
At least 10 years of experience in Data Warehousing, Analytics, Real-time Data Integration, or Business Intelligence, with a minimum of 3 years as a Data Architect, Solution Architect, or Technical Lead, and at least 2 years leading technical teams in Azure data platform implementation.
Proficiency in Databricks is required, along with knowledge of traditional and modern data architectures, including SQL, Hadoop, Spark, Kafka, and business analytics.
Experienced in Azure database platforms (Azure SQL, Databricks, Data Lake Gen2), Azure data integration tools (Synapse, Data Factory, Event Hub), data visualization tools (QlikView, Power BI), and programming languages (R, Python).
Strong architectural sense in integrating data sources, visualization, and structured/unstructured data, with consideration for candidates with traditional ETL expertise.
Knowledge of financial sector technologies, products, and services is an advantage, with the ability to multitask in a complex technical environment to deliver high-quality solutions.
For more information, please visit to and search for Job Reference: L8VRRW5V
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Tang Lee Ling | Registration No: R
This is in partnership with the Employment and Employability Institute Pte Ltd (e2i).
e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.
By applying for this role, you consent to GMP Technologies (S) Pte Ltds PDPA and e2is PDPA.
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Why SoftwareOne?
Hear firsthand from SoftwareOne APAC leaders as they unveil our exciting business and growth plan, spill the beans on our hiring initiatives, and reveal why joining SoftwareOne is an innovator. Join us now and be part of our incredible journey.
The role
We are seeking a highly skilled and experienced Solution Architect – Data & AI for Microsoft Azure to join our team and play a crucial role in designing and implementing data analytics and AI solutions on the Azure platform. The ideal candidate will have a deep understanding of Azure data services, AI technologies, and a track record of architecting scalable and efficient solutions to address complex business challenges.
Solution Design: Collaborate with cross-functional teams to gather requirements, design end-to-end data and AI solutions, and create architectural diagrams and documentation.
Azure Expertise: Leverage extensive knowledge of Azure services such as Azure Synapse Analytics, Azure Data Factory, AI Foundry, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric , Azure Cognitive Services, and Azure OpenAI to architect robust platforms.
Data Modeling: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.
Scalability and Performance: Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency.
Data Integration: Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality.
Security and Compliance: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.
Solution Optimization: Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation.
Collaboration: Work closely with data engineers, data scientists, business analysts, and partners to understand their needs and provide technical guidance.
Innovation: Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data and AI capabilities.
What we need to see from you
Demonstrable experience (5+ years) as a Solution Architect or similar role, with a focus on data analytics and Azure cloud technologies.
Extensive hands‐on experience with Azure services such as AI Foundry, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric, Azure Cognitive Services, Azure OpenAI, and Power BI.
Solid understanding of data modeling, ETL processes, data warehousing, and data governance principles.
Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation.
Excellent problem‐solving skills with the ability to design and implement creative solutions for complex data challenges.
Good communication skills to effectively collaborate with technical and non‐technical teams.
Experience in working with Agile methodologies and version control systems.
Demonstrable ability to work independently and manage multiple priorities effectively.
Education and Certification
Bachelor’s or associate degree in IT or related subject area.
Certification in Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure AI Engineer Associate and Microsoft Certified: Azure Data Scientist Associate or Azure Data Engineer Associate is required.
What We Need to See From You
Report to practice lead.
Pre‐sales experience.
Work within project team to develop and test data analytics platform and model.
Design, develop, and unit test in accordance with established standards.
Assist project team in analyzing and resolving technical issues.
Assist in preparing manuals, specifications, and other user documentation.
Package and support deployment releases.
Assist in the collection and documentation of user requirements, development of user stories, and estimates.
Job Function
Sales
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We are seeking a highly skilled and experienced Solution Architect – Data & AI for Microsoft Azure to join our team and play a crucial role in designing and implementing data analytics and AI solutions on the Azure platform. The ideal candidate will have a deep understanding of Azure data services, AI technologies, and a track record of architecting scalable and efficient solutions to address complex business challenges.
Solution Design: Collaborate with cross-functional teams to gather requirements, design end-to-end data and AI solutions, and create architectural diagrams and documentation.
Azure Expertise: Leverage extensive knowledge of Azure services such as Azure Synapse Analytics, Azure Data Factory, AI Foundry, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric , Azure Cognitive Services, and Azure OpenAI to architect robust platforms.
Data Modeling: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.
Scalability and Performance: Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency.
Data Integration: Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality.
Security and Compliance: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.
Solution Optimization: Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation.
Collaboration: Work closely with data engineers, data scientists, business analysts, and partners to understand their needs and provide technical guidance.
Innovation: Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data and AI capabilities.
Demonstrable experience (5+ years) as a Solution Architect or similar role, with a focus on data analytics and Azure cloud technologies.
Extensive hands-on experience with Azure services such as AI Foundry, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric , Azure Cognitive Services, Azure OpenAI, and Power BI.
Solid understanding of data modeling, ETL processes, data warehousing, and data governance principles.
Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation.
Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges.
Good communication skills to effectively collaborate with technical and non-technical teams.
Experience in working with Agile methodologies and version control systems.
Demonstrable ability to work independently and manage multiple priorities effectively.
Education and Certification
Bachelor’s or associate degree in IT or related subject area.
Certification in Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure AI Engineer Associate and Microsoft Certified: Azure Data Scientist Associate or Azure Data Engineer Associate is required.
What We Need to See From You
Report to practice lead.
Pre-sales experience.
Work within project team to develop and test data analytics platform and model.
Design, develop, and unit test in accordance with established standards.
Assist project team in analyzing and resolving technical issues.
Assist in preparing manuals, specifications, and other user documentation.
Package and support deployment releases.
Assist in the collection and documentation of user requirements, development of user stories, and estimates.
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This is a pivotal role that blends strategic architecture with hands-on implementation. You would be the go-to expert for defining cloud standards, securing the Azure environment, and driving the company's cloud strategy forward.

A Glimpse into the Role:

• Architect & Strategist: Define cloud architecture standards, best practices, and governance models.
• Security Champion: Implement robust security, compliance, and identity management solutions using tools like Microsoft Defender, Sentinel, and Azure AD.
• DevOps Enabler: Design and set up CI/CD pipelines using Azure DevOps/GitHub Actions to automate deployments.
• Trusted Advisor: Collaborate with stakeholders to assess cloud readiness, develop migration strategies, and provide technical leadership.

Key Responsibilities and Key performance indicators

Participate in planning, design, preparation, implementation and operation of projects and working with various internal and external stakeholders

• Define cloud architecture standards, best practices, and governance models.
• Collaborate with stakeholders to assess cloud readiness and develop migration strategies.
• Implement security, compliance, and identity management solutions within Azure.
• Optimize cloud performance, cost, and scalability through continuous monitoring and improvement.
• Provide technical leadership and mentorship to development and operations teams.
• Stay current with Azure innovations and recommend relevant technologies.

Educational Qualification : Degree in IT or engineering related field.

Experience : Min : 7 Years +

Detailed Job Description :

• Deploy and configure Azure services
• Set up CI/CD pipelines using Azure DevOps or GitHub Actions.
• Implement security controls using Azure Security Center, Defender, and Sentinel.
• Manage identity and access using Azure AD, Conditional Access, and RBAC.
• Ensure compliance with industry standards (ISO, HIPAA, GDPR, etc.).
• Monitor performance and availability using Azure Monitor, Log Analytics, and Application Insights.
• Optimize cost and resource utilization.
• Work as a trusted advisor to stakeholders and technical teams.
• Maintain architecture diagrams, runbooks, and technical documentation.

THE WORK:
Embrace the opportunity to innovate and elevate! You will be a subject matter expert, collaborating with various teams to make impactful decisions. Your role will involve engaging with multiple teams and contributing to key decisions while providing solutions to challenges that arise. This position is centered around Cloud Computing, where your expertise will shine. We are excited to see how you can make a difference in our organization!
Responsibilities include:
Enhance systems to align with business requirements.
Maintain applications and infrastructures in accordance with service level agreements.
Define and review technical requirements for integration, performance, quality, and scalability.
Manage IaaS capacity in collaboration with cloud operations teams.
Track and analyze associated key performance indicators.
HERE'S WHAT YOU WILL NEED:
Expert proficiency in Cloud Computing.
A minimum of 2 years of experience in relevant related skills.
Bachelor's Degree in relevant field of studies.
BONUS POINTS IF YOU HAVE:
Expert proficiency in Cloud Design and Build.
Expert proficiency in Custom Application Architectures.
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About the Company

Our client is a leading organization, trusted for delivering critical services with innovation, reliability, and sustainability. To support its digital transformation journey, the company is strengthening its IT infrastructure team.

Salary & Benefits:

• Approximate Total Annual Package: S$105,000 – S$19,000
• Average Equivalent: S 8,750 – S$9 917
• Basic Salary: S 6000 to S 7,000/month (negotiable based on experience)
• Confirmed Annual Bonus: 1 month
• Performance Bonus: 2–4 months
• The salary is commensurate with qualifications and experience

Other information

• Office Location: North
• Company Shuttle Bus: Provided across various areas for convenient commuting
• Contract Type: 1- or 2-year direct contract with the company, with potential for renewal or conversion to a permanent role.

The Role

They are expanding their IT infrastructure team to support cloud adoption and digital transformation initiatives.

Why You'll Love This Role

• Be the engineer who makes cloud projects happen — deploy Azure VMs, migrate workloads, and implement hybrid solutions that impact real business systems.
• Work on hands-on projects, collaborating with vendors and internal teams.
• Learn best practices in hybrid cloud, containerization, and automation while growing your career toward a cloud specialist or architect role.

What You'll Do

• Deploy, configure, and implement Microsoft Azure services (IaaS, PaaS, SaaS).
• Migrate workloads from on-premises to Azure.
• Implement hybrid solutions connecting on-prem systems with the cloud.
• Collaborate with vendors and internal teams to deliver projects successfully.
• Create and maintain documentation and runbooks to support smooth handovers.

What We're Looking For

• Cloud IT infrastructure implementation experience.
• IT infrastructure experience, with at least 3+ years focused on cloud.
• track record in cloud implementation projects.
• Experience coordinating and managing vendors.

How to Apply Click Apply now — or send your resume directly to

EA Name: BuildBridge Partners Pte Ltd

EA License No: 25C2918

EA Reg No: R

Khoo Yan Jie