1,224 Azure Data jobs in Singapore

Our client a large financial institutions is looking to hire Azure data architect

Roles :

• Designing and building BI / Data cloud solutions to enable better outcomes
• Deliver architectures for transformation of enterprise data solutions using Azure cloud data technologies
• Support the use of data-driven insights to help business achieve desired outcome
• Design and build data pipelines, data streams, reports, information dashboards, data services APIs, data generators and other data-relevant services
• Work across business stakeholders and propose architecture decisions
• Have a sound understanding of Azure cloud-based solution
• Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access
• Experience in ci/cd

Qualifications

Min 10 years of experience with min 3 years working with complex Azure data solutions

• Prior experience working with large scale big data and analytics solutions
• Experience in architecting and design of solution using Microsoft Azure databricks, ADF, data lakes, Synapse
• Experience in business processing mapping of data and analytics solutions
• Experience in cloud/infrastructure technologies
• Experience with Azure Cloud, CI/CD using Azure DevOps
• Experience with Azure data, Machine Learning and Artificial Intelligence solutions
• Experience with different database technologies (e.g., SQL database(s), NoSQL such as Hadoop, MongoDB, Redis, etc.

Interested candidates pleae email your latest resume to

• 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.
• 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: 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 Ltds PDPA and e2is PDPA.

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

• Heavy investment in AI and Data
• Join a fast growing multi billion dollar company

About the company

Our Client is fast fast growing multi billion dollar company with Heavy investment in AI and Data, With aggressive expansion plan, they are now looking hire their Senior | Lead Data Scientist ( Machine Learning) to be based here in Singapore.

About the job

Your role involves:

• Design and implement scalable end-to-end machine learning pipelines on Azure Databricks using Spark.
• Develop and deploy advanced AI and machine learning models for tasks such as Natural Language Processing (NLP), time-series forecasting, and anomaly detection.
• Perform large-scale data exploration, feature engineering, and data processing on structured and unstructured data.
• Translate complex business requirements into technical specifications for AI-driven solutions.
• Stay current with the latest industry trends and research in AI, machine learning, and distributed computing, and champion their adoption within the team.
• Present findings and model outcomes to technical and non-technical stakeholders in a clear, concise manner.

Skills and experience required

As a successful applicant, you will have at least 3 years of experience in Data Science. Proven track record in Azure Data | Spark | Python | AI will be required for this role.

Whats on offer

This is an excellent opportunity to led data transformation with a leading corporation. You will get the opportunity to be exposed to multiple advanced data analytics tools.

To apply, It will be great if you could share your CV to . Alternatively, you can apply at (EA: 94C3609/ R1219669)

Discover the heartbeat of SoftwareOne! Our 7 core values aren't just words – they're the beating heart of our company culture. Join us in a journey that unveils the essence of how we work, connect, and succeed. Watch the video to feel the values shaping our everyday interactions, customer relations, and team spirit.

Please note that SoftwareOne does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement (Job-Specific per our global standard) with the agency/recruiter, SoftwareOne will not consider or agre e to payment of any referral compensation or recruiter fee.

Our Hiring Leader:

Hi, My name is Alex Tay and I am the Business Development Director (Cloud, Apps and data) at SoftwareOne Southeast Asia.

"We at SoftwareOne are looking for Sales Professionals that model a positive mindset and remain curious in all activities that they are involved in. Professionals that seek to maintain a joint-venture relationship with our customers, partners and internal support teams. Professionals who have a curious mindset and a hunger for knowledge for both our customers and our own business. Finally, they need to know how to have fun and recognise our customers' and team members' contributions."

Eager to meet our Dynamic leader? Feel free to check out his LinkedIn Profile: Alex Tay | linkedin

A BDD (Individual Contributor) is a sales expert against customer problems/ business needs. The BDD is responsible for accelerating time to value for our customers and supporting them in their cloud and digital transformation by aligning our solutions. Good technical understanding and the ability to transform our customers challenges into commercial solutions. The BDD identifies, develops, and lands opportunities for defined portfolio elements in cooperation with Account Management team. A highly motivated collaborator to hunt and win deals.

Key Responsibilities: Cloud (Azure), Data, Application and AI Services business growth in the Singapore.

Location : Singapore

Accountable for growing new Cloud (Azure), Data, Application and AI Services Opportunities along with Field Sales ensuring that the customers’ needs are met or exceeded. Drive the entire Sales Cycle from initial Customer Engagement till Contract Closing for new & existing customers.

• Establish relationships with new and existing customers and secure new business in the assigned portfolio element(s).
• Work with Account Managers to ensure that the overall account strategy and goals are followed and achieved.
• Maintain a very detailed level of relevant knowledge on the assigned portfolio element(s) in order to have meaningful and relevant conversations with customers and prospects
• Work with Technical Architects / Practice Leaders to ensure that we design the right solutions for our customers.
• Work with Partners, i.e. Microsoft, to grow the services around Microsoft technology.
• Provide feedback to Account Management on ways to decrease the Sales Cycle, enhance Sales, and improve company brand and reputation.
• Provide feedback to the service delivery team to ensure that the service delivered meets or overachieve the satisfaction level of the client.
• Construct service contracts and associated commercials/cost model based on scope and customer’s desired outcome.

• Existing Full-Time Work Rights in Singapore
• Ability to commute to our Singapore office and visit clients in Singapore

Technical Qualifications:

• 10+ years enterprise technology strategic sales/pre-sales experience with a good knowledge on selling cloud and digital transformation solutions, specifically around Microsoft Azure.
• Able to articulate use cases of cloud transformation specific to the customers industry and size and understand where the customer is on their journey.

• Engage with stakeholders from IT all the way to C-level, understand the Customers business requirement & challenges, create an IT transformation roadmap covering (not limited to) Cloud, Data, Application and AI Services and position the right support model and articulate the business value of the offering.

• Position Cloud. Data, Application and AI Services advisory and/or professional services to customer depending on their requirements.

• Understanding of the Microsoft Azure Cloud, Data, Application and AI Services technologies and Funding program, drive SoftwareOne services.

• Have strategic sales/pre-sales experience with a good knowledge on selling Data or Application transformation solutions, specifically around Microsoft Azure.

• Have experience around selling professional services, managed services and consulting services and structuring go to market product services.

• Functional understanding of key technologies and trends in the cloud domain, Application Modernization, Data & Analytics, containerization, cloud operating models, Cloud economics, Finops.

• Experience preparing, presenting formal proposals to customers. Leading negotiations, coordinating complex decision-making process, and overcoming objections to closure.

• Strong knowledge in public cloud market in Asia and strong understanding of cloud consumption economics.

• Strong Knowledge on domain arounds Data and Application development using Microsoft technology.

• Expertise in enterprise solution selling techniques and selling cloud-based solutions.

• Effective territory/account management and leading sales teams: planning, opportunity qualification and creation, stakeholder and executive communication, needs analysis, value engineering, services/partner engagement, opportunity management and proposal response, pipeline management, large dollar licensing and deal negotiation required.

• Experience and expertise selling to c-suite and executive business decision makers by aligning & reinforcing the value of Cloud transformation to the customer's overall business and/or strategic opportunities and decision criteria.

• Experience leading large cloud engagements, especially those involving infrastructure modernization and migration.

• executive level speaking and presentation skills, and good written communication skills, exceptional demonstrated decision-making, conflict resolution, problem solving and negotiation skills.
  
  
• Have a strong collaboration skill to engage internal and external.

Discover the heartbeat of SoftwareOne! Our 7 core values aren't just words – they're the beating heart of our company culture. Join us in a journey that unveils the essence of how we work, connect, and succeed. Watch the video to feel the values shaping our everyday interactions, customer relations, and team spirit.

Please note that SoftwareOne does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement (Job-Specific per our global standard) with the agency/recruiter, SoftwareOne will not consider or agre e to payment of any referral compensation or recruiter fee.

Our Hiring Leader:

Hi, My name is Alex Tay and I am the Business Development Director (Cloud, Apps and data) at SoftwareOne Southeast Asia.

"We at SoftwareOne are looking for Sales Professionals that model a positive mindset and remain curious in all activities that they are involved in. Professionals that seek to maintain a joint-venture relationship with our customers, partners and internal support teams. Professionals who have a curious mindset and a hunger for knowledge for both our customers and our own business. Finally, they need to know how to have fun and recognise our customers' and team members' contributions."

Eager to meet our Dynamic leader? Feel free to check out his LinkedIn Profile: Alex Tay | linkedin

A BDD (Individual Contributor) is a sales expert against customer problems/ business needs. The BDD is responsible for accelerating time to value for our customers and supporting them in their cloud and digital transformation by aligning our solutions. Good technical understanding and the ability to transform our customers challenges into commercial solutions. The BDD identifies, develops, and lands opportunities for defined portfolio elements in cooperation with Account Management team. A highly motivated collaborator to hunt and win deals.

Key Responsibilities: Cloud (Azure), Data, Application and AI Services business growth in the Singapore.

Location : Singapore

Accountable for growing new Cloud (Azure), Data, Application and AI Services Opportunities along with Field Sales ensuring that the customers’ needs are met or exceeded. Drive the entire Sales Cycle from initial Customer Engagement till Contract Closing for new & existing customers.

• Establish relationships with new and existing customers and secure new business in the assigned portfolio element(s).
• Work with Account Managers to ensure that the overall account strategy and goals are followed and achieved.
• Maintain a very detailed level of relevant knowledge on the assigned portfolio element(s) in order to have meaningful and relevant conversations with customers and prospects
• Work with Technical Architects / Practice Leaders to ensure that we design the right solutions for our customers.
• Work with Partners, i.e. Microsoft, to grow the services around Microsoft technology.
• Provide feedback to Account Management on ways to decrease the Sales Cycle, enhance Sales, and improve company brand and reputation.
• Provide feedback to the service delivery team to ensure that the service delivered meets or overachieve the satisfaction level of the client.
• Construct service contracts and associated commercials/cost model based on scope and customer’s desired outcome.

• Existing Full-Time Work Rights in Singapore
• Ability to commute to our Singapore office and visit clients in Singapore

Technical Qualifications:

• 10+ years enterprise technology strategic sales/pre-sales experience with a good knowledge on selling cloud and digital transformation solutions, specifically around Microsoft Azure.
• Able to articulate use cases of cloud transformation specific to the customers industry and size and understand where the customer is on their journey.

• Engage with stakeholders from IT all the way to C-level, understand the Customers business requirement & challenges, create an IT transformation roadmap covering (not limited to) Cloud, Data, Application and AI Services and position the right support model and articulate the business value of the offering.

• Position Cloud. Data, Application and AI Services advisory and/or professional services to customer depending on their requirements.

• Understanding of the Microsoft Azure Cloud, Data, Application and AI Services technologies and Funding program, drive SoftwareOne services.

• Have strategic sales/pre-sales experience with a good knowledge on selling Data or Application transformation solutions, specifically around Microsoft Azure.

• Have experience around selling professional services, managed services and consulting services and structuring go to market product services.

• Functional understanding of key technologies and trends in the cloud domain, Application Modernization, Data & Analytics, containerization, cloud operating models, Cloud economics, Finops.

• Experience preparing, presenting formal proposals to customers. Leading negotiations, coordinating complex decision-making process, and overcoming objections to closure.

• Strong knowledge in public cloud market in Asia and strong understanding of cloud consumption economics.

• Strong Knowledge on domain arounds Data and Application development using Microsoft technology.

• Expertise in enterprise solution selling techniques and selling cloud-based solutions.

• Effective territory/account management and leading sales teams: planning, opportunity qualification and creation, stakeholder and executive communication, needs analysis, value engineering, services/partner engagement, opportunity management and proposal response, pipeline management, large dollar licensing and deal negotiation required.

• Experience and expertise selling to c-suite and executive business decision makers by aligning & reinforcing the value of Cloud transformation to the customer's overall business and/or strategic opportunities and decision criteria.

• Experience leading large cloud engagements, especially those involving infrastructure modernization and migration.

• executive level speaking and presentation skills, and good written communication skills, exceptional demonstrated decision-making, conflict resolution, problem solving and negotiation skills.
  
• Have a strong collaboration skill to engage internal and external.

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.

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 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.

C-AB-002

Key Responsibilities:

· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.

· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).

· We are looking for personnel who can provide this support.

Key Requirements:

· Bachelor's degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.

· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).

· Basic knowledge of data governance (i.e. DAMA-DMBOK).

· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.

· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).

· Advanced SQL skills and strong ability to work with large, complex financial datasets.

· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

· Intermediate understanding of regulatory compliance in the APAC region.

· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

· Need to Power BI experiences

· People who can communicate and create basic reports

How to Apply:

If interested, please send your resume to or by clicking the "Apply Now" button.

We regret that only short-listed applicants will be notified.

Rachel Ling

Registration No: R21102195

EA Licence No: 21C0761