227 Microsoft Certified Database Administrator jobs in Singapore

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment. We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers. Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society. For more information on Singapore University of Social Sciences, please visit

The Manager, Data Management, is responsible for ensuring the quality, integrity, and consistency of metadata across the university's data warehouse and other operational systems. This role involves collaborating with various stakeholders to establish and implement metadata standards, support data governance initiatives and provide training to end-users. Additionally, the Manager will assist in managing data protection and ensuring compliance with the Personal Data Protection Act (PDPA). The Manager will also serve as a primary point of contact for external data inquiries and requests as well as, coordinating with government agencies.

Key Responsibilities

• Metadata Management: Maintain and update metadata across all data systems to ensure consistency, integrity, and quality.
• Standard Implementation: Work with departments to define and enforce metadata standards and best practices.
• Data Governance Support: Contribute to data governance initiatives, supporting the development and enforcement of policies and procedures.
• Data Protection and PDPA Compliance: Assist in managing data protection practices to comply with PDPA regulations, ensuring sensitive data is handled securely and responsibly.
• Stakeholder Collaboration: Serve as the primary contact for external data requests and inquiries, managing relationships with regulatory entities.
• Training and Support: Provide guidance and training to end-users on data management practices, promoting adherence to governance standards.
• Data Quality Assurance: Oversee data quality monitoring processes, identifying and resolving data integrity issues across the university's data systems.

• Bachelor's degree in Information Management, Data Science, Business, or a related field.
• Minimum 2 years of experience in data management, metadata management, or related fields.
• Strong understanding of data governance, metadata standards, and quality assurance principles.
• Proficiency in data governance tools, metadata management solutions, and data quality software.
• Excellent communication skills for stakeholder management and cross-functional collaboration.

At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career

Besides that, you will also get:

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers

• Support Wave 2 (APAC) project from a data conversion perspective.
• Responsible for helping the regions extract and transform their legacy data into Workday EIBs- as well as reviewing data for general conformity and alignment to Workday configuration.
• Play a role in data validation as well

Data Management

• Develop and improve data reports
• Maintain accurate alumni engagement data (including by not limited event participation, CET, volunteerism) by working with other departments.
• Fulfil ad hoc data requests within specified deadlines, and update alumni LinkedIn profiles and notable alumni lists,
• Work with the team lead and senior executive on recruitment, training, and supervision of student helpers for Blackbaud CRM data updates.

Data & IT Project Management

• Collaborate with units to improve alumni-related IT services.
• Co-lead and coordinate data/IT projects, and manage technical aspects of the alumni portal. Work with internal and external stakeholders.

Operations & Coordination

• Guide and partner with the senior executive in ensuring CRM data accuracy and managing CRM access requests.
• Support data audits and ensure compliance with data privacy policies.
• Maintain and update standard operating procedures (SOPs)

Requirements:

• Bachelor's Degree in Information Systems/Technology, Data Analytics or other related fields.
• Advanced-level knowledge of Microsoft applications e.g. Excel, Word, PowerPoint.
• Knowledge and skills in data visualizations
• Familiarity with the Personal Data Protection Act (PDPA), data privacy and governance policies.
• Minimum 4-5 years' experience in data and database management, or customer or membership-type platforms/app or IT related-projects
• Experience in managing others e.g. junior staff will be advantageous.

Interested candidates, please email your resume to

Anna See Sing Yee

CEI Reg R

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

The successful candidate will join the planning department in a vital team responsible for creating and managing aircraft maintenance data, ensuring precision and reliability behind every maintenance task.

Key Responsibilities:

• Create and maintain task lists and maintenance plans in Maintenance Information System (MIS) for various task cards such as:
• Special Inspections
• Modification Action Forms
• Supplementary Jobs – Carry Forward Items
• Borescope Inspections
• Engineering Notes
• Component Change Sheets
• Maintenance Job Cards
• Maintenance Process Sheets
• Conduct detailed research for Bill of Materials and Bill of Tooling
• Review completed Dirty Fingerprints for SI and MAF to ensure proper closure dates
• Analyse engine shop reports and update completion statuses of tasks
• Verify that preloads and due dates are correctly populated
• Report the carried-out status, completion status or findings of Service Bulletins
• Carry out any other planning related duties

To be successful in this role, you will need:

• Familiarity with key aircraft documents such as Service Bulletins, Maintenance Manuals, Illustrated Parts Catalogues, and aircraft delivery documents
• High attention to detail with strong accuracy in data entry
• Ability to multitask, prioritize, and manage multiple deadlines efficiently
• Strong team player with good interpersonal, analytical, and communication skills
• Proficient in Microsoft Office and experienced in systems like SAP
• Candidates with experience in an aircraft maintenance environment will be preferred

We offer a range of benefits including:

• A competitive salary package
• Ongoing training and development opportunities
• A dynamic and supportive work environment

Senior Data Management Professional - Data Engineering - Company Financials Markets, Singapore

Location

Singapore

Business Area

Data

Ref #

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients.

We'll trust you to:

• Develop data-driven strategies, balancing the best of Technical, Product, Financial and Market knowledge, and work with our engineering and product departments to craft solutions
• Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
• Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
• Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
• Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
• Develop interconnected data models that enable analysis across datasets and develop statistical analysis.

You'll need to have:

• A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field or degree-equivalent qualifications
• Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture
• Experience working with Python in development or production environment
• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

We would love to see:

• Advanced degree/Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it)
• Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
• Experience designing optimal database structures

If This Sounds Like You:

Apply today We'll reach out to discuss the next steps

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritise candidates with legal authorisation to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorization.

About the Role

We are looking for an experienced HR professional to lead a data management team and ensure smooth, accurate, and timely HR processes. This role involves overseeing HR data operations, improving processes, and partnering with various stakeholders to drive efficiency and enhance employee experience.

Key Responsibilities

• Lead and manage the HR data management team.
• Ensure SLAs and KPIs are consistently met and continuously improved.
• Act as a subject matter expert for HR data management processes and compliance.
• Collaborate with cross-functional teams, HRIS, and business partners to deliver seamless services.
• Review and streamline work processes to improve efficiency and employee experience.
• Support additional HR-related projects as assigned.

Requirements

• Minimum 3 years of HR experience, including at least 1 year in a supervisory role.
• Experience in payroll administration (healthcare sector experience is an advantage).
• Proficient in HR systems (SAP SuccessFactors) and MS Office (Excel & Word).
• Strong analytical skills with a keen eye for detail.
• Independent, proactive, and a strong problem-solver.
• Team player who thrives in a dynamic and fast-paced environment.

HOW TO APPLY:

Interested applicants, please send in your resume by clicking "Apply Now".

By submitting an application or your resume, you are deemed to have consented to Dynamic Human Capital Pte Ltd collecting, using and disclosing your personal data for the purposes stated in our privacy notice ). You acknowledge that you have read, understood, and agree with the terms in our privacy notice.

We regret to inform that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Joyce Ng

Dynamic Human Capital Pte Ltd

EA Personnel No: R

EA License No: 12C6253

Key Responsibilities

• Technical development work for upcoming Data Quality initiatives
• Collaborate with internal and external stakeholders to understand business needs and translate them into analytical solutions.
• Strategic thinker with a proactive approach to problem solving paired with strong stakeholder engagement skills
• Ability to story tell with data, articulating key points for consideration, as opposed to reading numbers off the dashboard
• Perform data profiling using SQL on large datasets to identify potential data quality issues.
• Develop and amend Qlik dashboard visualizations, in accordance to business requirements.
• Execute technical analysis with respect to data quality processes including requirement gathering, root cause analysis, dashboard wireframes and stakeholder engagement.
• Develop and perform SIT/UAT test cases for data quality rules and dashboard visualizations.
• Validation of technical implementation to ensure deliverables are fit for requirement with users.
• Strong written and presentation communication skills including dashboards and PowerPoint presentations
• Business process improvement and optimization including creation of SOP
• Develop and amend data quality rules using Python or Informatica IDQ, in accordance to business requirements (good to have)

Job Requirements

• Bachelor's Degree/Diploma with relevant experience
• Mandatory Skills:  SQL (Query, Table Creation), Qlik dashboard visualization development
• Must have prior Stakeholder management skills
• Strong presentation skills in PowerPoint & project/time management experience
• Good to have:  Python Scripting & Automation

Interested? Please contact via

Whatsapp:

Telegram: @varicklee

We regret that only shortlisted candidates will be contacted

Varick Lee | R

RecruitFirst Pte Ltd | EA. 13C6342

Responsibilities:

• Gather and input data into databases and verify accuracy
• Review data for errors or redundancies, make corrections and check output
• Generate information and prepare reports for business units/ Management
• Build Microsoft Excel-based efficiency improvements
• Initiate/ run project and work with different stakeholders to deliver process improvement and efficiency
• Liaise with vendors and business units to seek new ways to improve data systems
• Any ad-hoc duties/ projects

Requirements:

• Minimum Diploma with at least 2 years of relevant experience
• Advance proficiency in Microsoft Word and Excel such as macro
• Accuracy and attention to detail
• Independent, self-motivated and a team player
• Able to work extended hours when required
• Skilled in problem solving, project management, adaptability, communications, teamwork, results orientation, strategic thinking, and team building

As a Senior Manager / Assistant Director (Data Management and Analysis), you will play a critical role in driving and implementing the organisation's data strategy to strengthen decision-making, service delivery and innovation. You will lead efforts to establish robust data governance frameworks, improve data quality, and build organisational data capabilities. Working closely with cross-functional teams, you will translate strategy into action — implementing practical workflows, tools, and standards to enable reliable and secure use of data across the organisation.

This role combines strategic planning with hands-on implementation, supporting the organisation's broader digital and data transformation journey.

1. Data Governance & Quality Assurance

• Implement data governance frameworks and processes to ensure data is managed consistently and securely across divisions.
• Operationalise data quality improvement strategies to maintain accuracy, consistency, timeliness and compliance with data protection and regulatory requirements.
• Conduct regular data quality assessments, audits and health checks to identify and address data gaps and errors.
• Review and enhance data management workflows — including collection, storage, processing and archival — in alignment with government standards and best practices.
• Monitor and analyse data quality metrics; prepare regular reporting and dashboards for management review.

2. Data Strategy Implementation & Integration

• Support the development and implementation of a centralised data management framework to enable integrated planning, operations, and service delivery.
• Collaborate with ICT teams and external partners to design and deploy digital solutions that enhance data access, interoperability and insight generation.
• Translate data strategy into practical implementation plans, tools, and guidelines for end users.

3. Analytics & Insight Generation

• Work with internal teams and the Data Community of Practice members to identify analytical needs, define KPIs, and deliver actionable insights to inform policy, planning and operations.
• Design and maintain dashboards, reports and data visualisations to support timely decision-making.
• Support pilot projects and use cases that demonstrate the value of data for innovation and improvement.

4. Capability Building & Change Management

• Build data literacy and capability across divisions by working with Human Capital and Organisation Development Division to curate relevant training and best practice sharing sessions.
• Cultivate a network of data stewards/champions via the Data Community of Practice to embed data practices in everyday workflows.
• Provide guidance and technical support to staff in applying data standards, tools and analytical methods.

5. Stakeholder Engagement & Cross-Functional Collaboration

• Work closely with service delivery, corporate and enabling functions to operationalise data initiatives.
• Partner with external agencies and sector partners on data-sharing protocols, governance and alignment with national data strategies.
• Represent the organisation in inter-agency or sectoral data transformation workgroups where relevant.

• At least 5 to 7 years of relevant experience in data management, analytics, digital transformation or related domains.
• Strong understanding of data governance, quality assurance and analytics frameworks.
• Proven ability to translate strategy into practical implementation — including policy, process and system-level changes.
• Experience with data quality tools, business intelligence or data visualisation platforms.
• Good knowledge of data protection regulations and government data policies.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication and stakeholder engagement skills.
• Demonstrated ability to lead teams and work collaboratively across functions.

Send your resume to us by clicking the "Drop your resume / Apply" button now, or you can also email us at

Please state in your detailed resume your:

1. Current and expected salaries and annual package

2. Reason for leaving current employment (if applicable)

We regret that only shortlisted candidates will be informed.