78 Azure jobs in Singapore

• Drive agile / iterative waterfall developments practices
• Drive the implementation / experimentation of emerging technologies / new solution/application
• Establish and Cloud development
• Drive IT automation / enhancement
• Drive the technical development enhancement for Singapore, APAC and East Asia offices.
• Establish sound development practices within the Singapore and regional offices (where applicable).

Requirements:

• Proven work experience including technical management of software development project and system design/support.
• Proven experience in Azure development, including hands-on use of Azure Functions, App Services, Messaging, and Data Storage, with a strong understanding of configuring for scalability, cost efficiency, and deploying applications to the Azure cloud.
• Experience in application development using Microsoft technologies (.NET, SQL Server/SSIS/SSRS, Azure development).
• Knowledge and experience in emerging technologies such as RPA, AI, Data Analytics, etc, would be an added advantage.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Tang Lee Ling | Registration No: R1106845

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 Ltd’s PDPA and e2i’s PDPA.

Benefits: 13th Month Salary

Data Engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Power BI, Azure Devops

Skills & Experience

• Bachelor’s Degree in Computer Science or Engineering with 3-5 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.

• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, and setup.

• 1-2 years experience in Visualization design and development with Power BI. Knowledge on row-level security and access control.

• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python.

• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or Data Factory preferred).

• Team player with good interpersonal, communication, and problem-solving skills.

Job Scope

• Design, review, and development of Pyspark scripts. Testing and troubleshooting of data pipelines and orchestration.

• Designing and developing reports and dashboards in Power BI, setting up access control with row-level security, and DAX query experience.

• Establishing connections to source data systems, including internal systems (e.g., SAP, Historians, Data Lake) as well as external systems (e.g., Web APIs).

• Managing the collected data in appropriate storage/database solutions (e.g., file systems, SQL servers, Big Data platforms such as Hadoop, HANA) as required by the specific project requirements.

• Design and development of data marts and relevant data pipelines using Pyspark, including data copy activities for batch ingestion.

• Deployment of pipeline artifacts from one environment to another using Azure Devops.

• Performing data integration using database table joins or other mechanisms as required by the analysis requirements of the project.

Good to Have

• Data catalog with Purview enabling effective metadata management, lineage tracking, and data discovery.

• Candidates should demonstrate the ability to leverage Purview to ensure data governance, compliance, and efficient data exploration within Azure environments.

Others

• Able to work independently on assignments according to agreed schedules without much supervision.

• Own assignments and take initiative to resolve issues hindering completion. Proactively reach out for help/guidance whenever required.

Direct message the job poster from RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Company: RiDiK Pte Ltd

Job Summary:

We’re looking for an Azure Infrastructure Lead to support our team in Singapore . This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you’re someone who takes initiative, values continuous learning, and thrives in a collaborative setting, we’d love to hear from you.

Requirements:

• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).
• 10+ years of IT experience with at least 5+ years in cloud infrastructure roles.
• 4+ years of deep, hands-on experience with Microsoft Azure.

Skills:

• Proficient in Infrastructure as Code (IaC) – Terraform, ARM, Bicep.
• Experience with DevOps tools – Azure DevOps, GitHub Actions, or Jenkins.
• Strong scripting skills (PowerShell, Bash, or Python).
• Understanding of hybrid cloud and on-prem integration (ExpressRoute, VPN Gateway).
• Knowledge of backup, disaster recovery, and high availability strategies in Azure.
• Experience in large-scale cloud migrations and multi-region deployments.
• Familiarity with containerization (AKS, Docker) and microservices architecture.
• ITIL or Agile/Scrum certification is a plus.

About CLPS RiDiK:

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Information Technology, Engineering, and Project Management
• Industries IT Services and IT Consulting, Computer and Network Security, and Telecommunications

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We are seeking an experienced Data Architect to oversee technical data architecture and data governance technical architecture in our client's organisation. The role will manage the technical architecture of their data platforms as well the solution architecture of data related solutions. This role will also champion the proper implementation and adherence to best practices across all stages of the data platform delivery lifecycle. This is a hands-on individual contributor role, and the candidate should have recent hands-on development experience.

Duties and Responsibilities

Data Platform Technical Architecture

• Architect, develop, and maintain scalable and reliable data pipeline infrastructure.
• Understand technical architecture of data related platforms and provide advisory to other teams.
• Design the architecture required for optimal extraction, transformation, and loading of data from data sources.
• Ensure high availability, disaster recovery, and performance of data platforms.
• Design the solution for a modern data platform, including aspects like master data management, data lake house, data pipelines.
• Define and champion the direction for data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Evaluate and select appropriate technologies and tools to meet current and future data needs.
• Integrate new data technologies into existing architectures, ensuring seamless interoperability.

Data Governance Technical Architecture

• Design and implement the technical framework required to ensure data quality, security, privacy, and compliance with regulatory requirements.
• Develop and maintain metadata management solutions, including data catalogues, lineage, and classification.
• Collaborate with data governance to ensure technical solutions align with governance objectives.
• Support implementation of data access controls, auditing, and monitoring to safeguard sensitive information.

Technical Expertise

• Stay updated about emerging technologies and industry trends to drive innovation within our organization.
• Serve as a subject matter expert for complex data-related technical issues.

Organizational Collaboration

• Provide technical guidance and expertise to teams, helping to solve complex technical challenges.
• Collaborate with engineering teams, fostering a culture of innovation, collaboration, and excellence.
• Provide direction and guidance to teams working with the data platform.
• Collaborate with various departments on any technical solutioning required to support data platform requirements.
• Document data platform architectures and ensure documentation is current and accessible.

Qualifications

• Bachelor's or master’s degree in computer science, Information Technology, or a related field.
• Minimum of 8 years of experience, with a focus on data platforms architecture and engineering.
• Proven ability to work with cross-functional teams, promoting collaboration and achieving the objectives of programme and initiatives.
• Exceptional problem-solving and critical-thinking skills, with a track record of effectively addressing technical challenges and risk mitigation.
• Demonstrated strategic thinking and planning abilities, capable of aligning technical projects with organizational goals and market demands.
• Relevant experience in designing, developing, and supporting data platforms, having successfully completed projects in data projects delivery
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• Must be a good team player, highly organized, proactive, and adaptable, with a “can-do” attitude.

Technical Expertise

• Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Working experience in Azure cloud.
• Strong working experience in Azure Fabric – specifically Data Factory, Data Engineering, Data Warehouse and Data Lake Storage.
• Working experience in big data and DataSecOps is an added advantage.
• Experience in MS SQL and Oracle, including querying and tuning large, complex data sets and performance analysis is preferred.
• Experience with metadata management, data lineage, and data cataloguing tools.
• Solid understanding of data governance principles, including data quality, security, privacy, and compliance (e.g., GDPR, PDPA).

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Information Technology
• Industries IT Services and IT Consulting

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Get notified about new Data Architect jobs in Singapore, Singapore .

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Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops

Job Scope

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration

• mplement and maintain datalake

• E tablishing connections to source data systems such as on-prem databases, IOT devices, APIs

• M naging the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.

• D sign, development of relevant data pipelines using pyspark, copy data activities for batch ingestion

• P rforming data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project

• D ployment of pipeline artifacts from one environment to the other using Azure Devops

• P eferred to have Devops expertise

Skills & Experience

• B chelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development

• Sou d Knowledge of Azure Synapse analytics for pipelines, orchestration, set up

• 1 2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control

• S und experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python

• E pertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)

• T am player with good interpersonal, communication, and problem-solving skills.

Good to have

• D ta catalog with Purview enabling effective metadata management, lineage tracking, and data discovery

• C ndidates should demonstrate the ability to leverage Purview to ensure data governance, compliance, and efficient data exploration within Azure environments

Others

• A le to work independently on assignment according to agreed schedule without much supervision

• O n assignment and take initiative to resolve issues hinder completion of assignment Proactively reach out for help/guidance whenever required.

Job Description

Qualifications & Experience:

• Bachelor’s Degree in IT, Computer Science, or related field
• Minimum 8 years of experience in IT industry
• Microsoft Azure Certification preferred

Technical Skills:

• Proven experience with Azure API Management and API setup
• Hands-on experience with Azure Function Apps and Logic Apps
• Proficient in coding with C# on Azure Functions
• Experience with messaging services such as Azure Queues and Event Grid
• Strong knowledge of integration workflows using Azure services
• Familiar with a broad range of Azure services and tools, including Azure SDK and DevOps
• Ability to explore and adapt to other Azure technologies as needed

Responsibilities:

• Design and develop cloud-based solutions using Azure services
• Lead architectural design sessions, implementation reviews, and solution workshops
• Develop and support modern workplace solutions including infrastructure, end-user devices, security, and collaboration tools
• Collaborate closely with regional teams and Japan head office stakeholders
• Provide technical leadership and guidance throughout the development lifecycle
• Support ongoing projects and ensure alignment with architectural best practices.

EA Number: 11C4879

Job Summary:

We are seeking a skilled and proactive Azure Cloud Engineer to join our team. You will be responsible for implementing, managing and supporting cloud infrastructure solutions on Microsoft Azure. The ideal candidate has hands-on experience in Azure services, strong problem-solving abilities and a passion for automation and cloud best practices.

Key Responsibilities:

• Design, deploy and maintain scalable and secure Azure cloud infrastructure.
• Implement Infrastructure as Code (IaC) using ARM templates, Bicep or Terraform.
• Monitor and troubleshoot system performance and ensure high availability.
• Collaborate with development and operations teams to support cloud-based applications.
• Configure and manage Azure services such as VMs, Azure AD, Virtual Networks, Load Balancers, Storage Accounts and App Services.
• Automate provisioning and deployment processes using PowerShell, Azure CLI or DevOps tools.
• Ensure compliance with security best practices and corporate policies.
• Participate in incident response, change management and patching activities.
• Maintain up-to-date documentation and provide knowledge transfer to other teams.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, IT or related field.
• 3–6 years of experience managing Microsoft Azure environments.
• Proficiency in Azure services: Virtual Machines, Azure AD, VNet, NSG, Azure Backup, Key Vault, etc.
• Hands-on experience with IaC tools (Terraform, Bicep, ARM).
• Scripting skills in PowerShell, Bash or Python.
• Familiarity with Azure DevOps or CI/CD pipelines.
• Good understanding of networking, firewalls, DNS and load balancing in Azure.
• Strong troubleshooting and performance tuning abilities.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Microsoft Certified: Azure Administrator Associate or equivalent.
• Experience with hybrid cloud environments and on-prem integration.
• Knowledge of security frameworks and cloud governance.

Please send your detailed resume in MS Word format to with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops

Job Scope

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration

• mplement and maintain datalake

• E tablishing connections to source data systems such as on-prem databases, IOT devices, APIs

• M naging the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.

• D sign, development of relevant data pipelines using pyspark, copy data activities for batch ingestion

• P rforming data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project

• D ployment of pipeline artifacts from one environment to the other using Azure Devops

• P eferred to have Devops expertise

Skills & Experience

• B chelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development

• Sou d Knowledge of Azure Synapse analytics for pipelines, orchestration, set up

• 1 2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control

• S und experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python

• E pertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)

• T am player with good interpersonal, communication, and problem-solving skills.

Good to have

• D ta catalog with Purview enabling effective metadata management, lineage tracking, and data discovery

• C ndidates should demonstrate the ability to leverage Purview to ensure data governance, compliance, and efficient data exploration within Azure environments

Others

• A le to work independently on assignment according to agreed schedule without much supervision

• O n assignment and take initiative to resolve issues hinder completion of assignment Proactively reach out for help/guidance whenever required.

• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decision-making at all levels of the organization.
• Data Modelling and Transformation: Design, implement, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Cross-functional Supports: Collaborate with other teams to ensure the successful execution of projects and initiatives.
• Operational supports: Maintain and support day to day operational on data platform, including:
• Monitoring data pipelines, databases, and analytical processes to ensure smooth and continuous operation.
• Identify and resolve data-related issues, performance bottleneck, and data quality problems promptly.

Job Requirements:

• Bachelors degree in Computer Science, Data Science, Statistics, or a related field.
• At least 5 years working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or similar) to create compelling data visualizations and reports.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL databases, NoSQL databases).
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.