Total 1,175 data entry job vacancies in Information Technology category

Job Summary

Seeking a Junior data/analytics professional responsible for analyzing banking data using SQL and Python, supporting data architecture and reporting, and collaborating with users to gather requirements and resolve issues.

Mandatory Skill-set

• Must have strong knowledge of SQL and Python;
• Must have Proficiency in Microsoft Excel, Word, and PowerPoint;
• Good analytical and problem-solving skills;
• Ability to work independently with users for requirements gathering and issue investigation;
• Strong communication and interpersonal skills;
• Basic understanding of banking products.

Desired Skill-set

• Knowledge of data architecture concepts including data warehouse and big data technologies;
• Familiarity with Hadoop and discovery/BI tools such as Qlik Sense and Hue, plus exposure to AI tools;

Responsibilities

• Analyze and manage data using SQL and Python to support business needs;
• Work with users to gather requirements and understand data/reporting needs;
• Investigate and resolve data or system-related issues;
• Prepare reports, analysis, and presentations using Microsoft Office tools;
• Support data architecture and data warehouse environments;
• Utilize big data, BI, or AI tools to enhance data discovery and insights.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 4000 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

About the Role

We are looking for a Senior Data Engineer Consultant to support enterprise data transformation initiatives. You will be responsible for developing and optimizing data pipelines, enabling scalable data solutions, and supporting analytics and reporting needs across the organization.

Key Responsibilities

• Review and assess data engineering deliverables, including data pipelines, data models, architecture designs, and technical documentation.
• Provide independent technical validation and recommendations to ensure alignment with business and technology objectives.
• Ensure data solutions comply with governance, security, scalability, and performance standards.
• Collaborate with stakeholders and delivery partners to resolve technical issues and implementation challenges.
• Identify risks, gaps, and opportunities for improvement across data platforms and processes.
• Support project governance, acceptance reviews, and technical sign-off activities.

Requirements

• 7–10 years of experience in Strong experience in Data Engineering, Data Architecture, or Data Platform delivery.
• Hands-on knowledge of Databricks/Fabric, Azure Data Platform, Python (PySpark), and SQL.
• Experience reviewing solution designs, data models, and enterprise-scale data pipelines.
• Understanding of data governance, data quality, and cloud architecture best practices.
• Ability to engage with both technical and business stakeholders.
• Prior experience working with consulting firms, system integrators, or large transformation programmes is highly preferred.

Our Client is one of the leader in the banking industry, they are seeking for an experienced data analyst that is proficient in Python to clean, transform and analyse datasets

Contract: 6 months

Location: Central

1. Perform ad hoc analysis to generate insights and support business decision-making within business group.

2. Build, maintain, and enhance data analytics solutions, including dashboards and automated workflows.

3. Use tools such as Python and SQL for data extraction, analysis, and modeling.

4. Work with stakeholders to understand requirements and translate data into actionable insights.

5. Ensure data quality and continuously improve analytics processes and solutions.

PERSOL Singapore Pte Ltd • UEN No. 200007268E • EA License No. 01C4394 •EA Registration No. R21103542 (Ling Kai Jin)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies.You acknowledge that you have read, understood, and agree with the Privacy Policy.      

【Job Responsibilities】

• Solution Design & Strategy: Lead the end-to-end design and planning of comprehensive data center solutions. Analyze client requirements to develop technically sound and commercially viable proposals, with a specialized focus on Critical Power (e.g., UPS, Lithium Battery Backup) and Cooling Systems.
• Product & Solution Competitiveness: Collaborate with product development teams to provide field-driven insights. Champion the development and verification of scenario-specific solutions based on typical customer requirements to enhance the overall market competitiveness of our portfolio.
• Strategic Business Development: Identify and capitalize on key opportunities to break into new markets, valued industries, and strategic accounts. Develop standardized, replicable solution packages and enable field teams to improve operational efficiency and win rates.
• Stakeholder Management & Project Leadership: Serve as the primary technical point of contact for clients, consultants, and internal teams. Manage the solutioning process from initial engagement through to project execution, providing technical oversight and troubleshooting expertise.
• Technical Evangelism & Client Engagement: Develop and deliver compelling technical presentations and proposals. Build and maintain trusted advisor relationships with client executives, effectively articulating the value proposition of our solutions.
• To collaborate and communicate directly with Singapore-based regulatory bodies and local stakeholders, as well as to support collaboration with Chinese-speaking global decision-makers, domestic manufacturing partners, and regional headquarters counterparts based in China.

【Requirements】

• A Bachelor's degree in Engineering, preferably in Electrical Engineering.
• A minimum of 5 years of professional experience in the data center industry, with a proven track record in data center consulting, planning, and solution design.
• Deep technical expertise in Data Center Critical Power and Cooling systems (including UPS and Lithium Battery technologies). Hands-on experience with system deployment is highly advantageous.
• Demonstrable experience in developing and winning overseas projects. Exceptional communication and interpersonal skills, with the ability to collaborate effectively across functions, cultures, and international organizations.
• Strong analytical, problem-solving, and collaboration skills to navigate and resolve complex technical and commercial challenges.
• Excellent presentation and solution-development skills. A self-motivated professional who can work both independently and as part of a collaborative team, with a results-driven commitment to task completion.
• Familiarity with key industry standards and specifications, such as Uptime Institute Tiers, TIA-942, and relevant IEC standards.
• This role requires proficiency in both English and Mandarin (written and spoken) to communicate effectively with Singapore-based regulatory bodies and local stakeholders, as well as to support collaboration with Chinese-speaking global decision-makers, domestic manufacturing partners, and regional headquarters counterparts based in China.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Job Purpose

The primary purpose of this position is to research, analyze, interpret, transform and present reference data for fixed income securities as well as reference data pertaining to those issuers themselves that bring fixed income debt to market. 

Proficiency in English and Korean language is essential to communicate with Korean stakeholders

The incumbent must successfully complete a three-month training program that centers on building enough subject matter expertise and the utilization of the database(s) of record such that the incumbent can independently analyze legal and financial documents associated with securities containing less complex fixed income structures. During training, the incumbent must master all of the subject matter and will be required to pass a series of quizzes and tests as well achieve the accuracy and timeliness metrics that were established for trainees.

The training curriculum for the associate contains high level overviews of the complex structures worked on by more senior personnel as well as reference data client use cases so that the incumbent can differentiate between legal and financial language that is relevant to and required by our client base versus jargon describing information that is not required and, so that the incumbent can identify new financing techniques that come to market. The incumbent must then apply this foundation of knowledge via a logical sequence of decision-making events to determine relevancy of said information to our clients for any of their use cases and if deemed relevant, determine the next appropriate steps to ensure high client satisfaction levels. 

The fixed income market consists of over two million active securities and the reference data provided by ICE Data Services for said securities is used by our clients to make trading decisions, settle trades, make investment decisions, manage portfolios, analyze risk, create security master files, create client statements and conduct other back office functions. Our reference data is also used by internal stakeholders such as the Evaluated Pricing, Index and Analytics groups said reference data plays an integral role in determining evaluated prices, determining whether or not a security should be added to or deleted from an index or indices, the weighted average of a security within an index and, performing a series of analytical calculations that are used both internally within ICE and externally by these stakeholder’s clientele.

Responsibilities

• Analyze, interpret, collate and transform reference data provided in a variety legal and financial document, third party reports and vendor information while ensuring that the reference data provided in ICE’s products and services accurate, comprehensive and in a timely manner, namely best in class
• Make sound, subjective decisions when interpreting legal and financial information by utilizing subject matter expertise to infer, deduce and ultimately draw the right conclusions
• Provide customer support for users of ICE products by resolving inquiries in a timely manner
• Craft external facing responses for those clients that submitted customer inquiries containing a meaningful, well-thought out, well-constructed answer that includes a restatement of the challenge or question, the analysis completed to satisfy the request and where appropriate, the methodology used to determine the solution
• Procure required documents and/or trusted content utilizing creative internet searches and by conducting direct outreach to issuers, underwriters, fiduciary agents and bond counsel
• Apply problem-solving skills to identify innovative work-flow efficiencies and process improvements resulting in increased accuracy levels, time to market and productivity
• Help identify trends and causation of inaccurate and/or incomplete data
• Participate in ad hoc projects to optimize processes and/or improve the quality of the data set
• Create charts, graphs and presentations for leadership teams
• Use Excel functions to organize, analyze and create reference data

Knowledge and Experience

• Proficiency in English and Korean language is essential to communicate with Korean stakeholders
• BA/BS in Finance, Economics or equivalent practical experience
• Demonstrated, relevant work experience directly working in fixed income reference data operations or customer service
• Ability to work in a fast paced, high pressured, fluid environment
• Ability to distill large amounts of information into specific takeaways
• Excellent attention to detail and high degree of demonstrated decision-making and problem solving skills
• Excellent written and oral communication skills with proven ability to craft client-ready correspondences
• Eagerness to learn and collaborate with others
• Strong Excel skills required

Job Description & Requirements

The Rotating Shift Technician is responsible for supporting 24×7 data centre operations, ensuring the reliability, safety, and continuity of all Mechanical & Electrical (M&E), critical infrastructure, and facilities systems in accordance with approved procedures, service level agreements (SLAs), and safety requirements.

·      Perform continuous monitoring, routine patrols, and inspection of data centre infrastructure, critical facilities, and associated equipment.

·      Manage day-to-day maintenance coordination, and escalate any critical troubleshooting requirements that needs to be conducted by manufacturers.

·      Conduct routine checks of M&E and critical systems performance.

·      Record and report daily operating conditions, abnormalities, and system status.

·      Supervise and oversee OEMs, subcontractors, and service vendors performing works on electrical, mechanical, fire, and critical facilities systems.

·      Ensure all vendors deliver competent, safe, and quality services in compliance with contractual obligations, site rules, and safety requirements.

·      Coordinate and monitor scheduled and ad-hoc vendor activities, ensuring proper documentation and work completion.

·      Promptly respond to incidents, alarms, and emergency situations.

·      Execute incident escalation in accordance with approved escalation matrices and emergency response procedures.

·      Provide standby and emergency support when activated, including shift stand-in or additional coverage as required.

·     Ensure proper handover and takeover of duties during shift changes.

·      Carry out duties that comply with approved SOPs (Standard Operating Procedures), MOPs (Method of Procedures), and EOPs (Emergency Operating Procedures).

·      Carry out all work strictly in accordance with site processes, operational governance, and safety regulations.

COMPANY DESCRIPTION

About NTUC Health Co-operative Limited

NTUC Health Co-operative Limited (NTUC Health) is an NTUC enterprise that provides a comprehensive and integrated suite of quality and accessible health and eldercare services to meet the growing needs of families and their dependents. Building on close to three decades of experience and expertise, NTUC Health is among the largest providers of active ageing, senior day care, nursing home, and home personal care services in Singapore. We also serve vulnerable seniors in selected areas in Singapore through Community Case Management Services (CCMS), CREST mental health support, and a sheltered senior group home. In addition, we run a family medicine clinic.

Our purpose is to achieve ‘health for life'; enabling healthy and fulfilling years by being a trusted partner of seniors and their families in our community.

For more information, please visit ntuchealth.sg or follow us on Facebook, Instagram, and LinkedIn.

Services: Senior Day Care | Home Care | Nursing Home | Active Ageing and Senior Fitness | Rehabilitation and Physiotherapy | Family Medicine

Community Support: CCMS (Community Case Management Services) | CREST (Community Resource, Engagement and Support Team) | Henderson Home

RESPONSIBILITIES

Job Role Summary:

As a Talent Attraction Intern, you will play a key role in supporting the recruitment and onboarding processes at NTUC Health. This internship offers the opportunity to contribute to data-driven HR initiatives.

Key Responsibilities:

• Clean, organize, and analyse recruitment and attrition data using SQL and Google Apps Script.
• Maintain and update HR records, databases, and applicant tracking systems (ATS).
• Develop and maintain a consolidated dashboard to track key talent metrics.
• Collaborate with various HR teams on cross-functional projects.
• Perform other related tasks as assigned by the supervisor.

You are:

• Currently pursuing an undergraduate degree or diploma in Human Resources, Business Analytics, Information Systems, or a related field.
• Proficient in SQL and Google Apps Script, with the ability to clean datasets and build dashboards.
• Comfortable working with Google Suite applications (e.g., Sheets, Docs, Slides).
• A team player with strong communication and stakeholder management skills.
• Detail-oriented, analytical, proactive, and eager to learn.

• CAT-1 cleared/eligible candidate is required for this role.
• Possess a degree in Computer Science/Information Technology or related fields.
• Experience in data warehouse or data mart operations.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks by SLA (implementation, monitoring and troubleshooting).
• Able to handle data issue management.
• Proficient inOracle PLSQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Provide documentation support in technical/functional specifications.
• Possess investment data domain knowledge.
• Good problem solving and logical thinking.

Job Description

Integrated Business Planning (IBP) brings together forecasting and supply planning across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes.

Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing a centralized Planning Excellence Team (PET). This team will continue our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The

IBP Data Scientist role will bring key data scientist capabilities to the PET team. As the IBP Data Scientist, you will be responsible for supporting the fast-paced development and continued maintenance of demand, inventory, and supply planning models, refreshing targets, and monitoring key planning parameters to ensure the business is positioned to meet demand reliably and efficiently.

Principle Duties/Responsibilities:

• Provide data-driven insights, dashboards, and scenario modeling to support demand and supply planners, S&OE/S&OP processes, and enterprise decision-making
• Drive continuous improvement in analytics, data quality, and model reliability
• Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
• Partner with more senior team members to align analytics with standards, governance, and process maturity efforts
• Generate dashboards and KPIs that to support IBP governance and forum discussions
• Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators
  

Qualifications

• Bachelor's or Master's Degree or equivalent in data science, statistics, computer science, or related field.
• Post-graduate, certification, and/or license are a plus.
• Ability to work independently and as part of a team in a fast-paced environment.
  

Preferred skills include:

• Knowledge in predictive modeling, machine learning, and statistical analysis preferred.
• Programming languages such as Python, R, or SQL.
• Data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of advanced machine learning techniques and frameworks.

Job Description

We are seeking an experienced Lead Data Integration & ETL Engineer to design, develop, and support enterprise-scale data integration solutions for banking and financial services clients.

The successful candidate will lead technical delivery teams, provide architectural guidance, and ensure the successful implementation of ETL and data warehousing solutions using modern data technologies.

Key Responsibilities

• Lead the design and development of ETL/Data Integration solutions.
• Manage end-to-end data migration and integration projects.
• Work closely with business stakeholders, architects, and project managers.
• Develop and optimize ETL processes using Talend and other data integration tools.
• Ensure data quality, governance, and compliance standards are met.
• Provide technical leadership and mentoring to junior team members.
• Support production deployments and resolve technical issues.
• Participate in solution design, code reviews, and best practice implementation.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
• Minimum 12 years of experience in Data Integration, ETL, and Data Warehousing.
• Strong hands-on experience with Talend ETL.
• Experience with SQL, Oracle, Hadoop, Spark, Hive, or related Big Data technologies.
• Experience in Banking or Financial Services domain is preferred.
• Strong analytical, problem-solving, and communication skills.
• Experience leading technical teams and managing project deliverables.

Job Description

We are seeking an experienced Lead Data Integration & ETL Engineer to design, develop, and support enterprise-scale data integration solutions for banking and financial services clients.

The successful candidate will lead technical delivery teams, provide architectural guidance, and ensure the successful implementation of ETL and data warehousing solutions using modern data technologies.

Key Responsibilities

• Lead the design and development of ETL/Data Integration solutions.
• Manage end-to-end data migration and integration projects.
• Work closely with business stakeholders, architects, and project managers.
• Develop and optimize ETL processes using Talend and other data integration tools.
• Ensure data quality, governance, and compliance standards are met.
• Provide technical leadership and mentoring to junior team members.
• Support production deployments and resolve technical issues.
• Participate in solution design, code reviews, and best practice implementation.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
• Minimum 12 years of experience in Data Integration, ETL, and Data Warehousing.
• Strong hands-on experience with Talend ETL.
• Experience with SQL, Oracle, Hadoop, Spark, Hive, or related Big Data technologies.
• Experience in Banking or Financial Services domain is preferred.
• Strong analytical, problem-solving, and communication skills.
• Experience leading technical teams and managing project deliverables.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the role

We are seeking a Salesforce Data Analyst to support large-scale system integration projects involving Salesforce and multiple external systems.

You will start by assisting in data mapping and integration work between Salesforce and APIs (e.g. MuleSoft), gaining hands‑on exposure to how data flows across systems. This includes understanding Salesforce data models, integration payloads, and transformation logic.

You will also support testing activities (SIT/UAT) and work closely with experienced consultants across Salesforce, integration, and functional teams.

Over time, this role can evolve into a Business Analyst or Developer track, depending on project needs and your interests.

This role is suited for individuals who are detail-oriented, structured, and proactive, and who are interested in understanding how enterprise systems connect and operate end‑to‑end.

Responsibilities

Data Mapping & Integration Support

• Work closely with functional, integration (MuleSoft) and data migration teams to support end‑to‑end delivery.
• Assist in mapping data between Salesforce objects and external systems via APIs.
• Analyse field definitions, data structures, and relationships across systems.
• Support the documentation of data templates, mappings, transformation logic and integration requirements.
• Work with senior consultants to clarify data inconsistencies, edge cases, and validation rules.
• Review API payloads (JSON/XML) to understand how data is exchanged between systems.
• Perform data patching when required.
• Maintain clear and well-structured documentation such as data mapping sheets, integration specifications (functional level), test scenarios and results.

Requirements & Functional Support

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Testing & Quality Assurance

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Requirements

Must have skills and experience

• Interest in data, systems, or integration work.
• Strong attention to detail and ability to work with structured information.
• Ability to analyse and compare data across different sources.
• Good logical thinking and problem-solving skills.
• Able to follow through on tasks and track details consistently.
• Comfortable working with multiple teams and stakeholders.

Good to have

• Basic understanding of databases, data structures, or APIs.
• Familiarity with JSON, XML, or Excel-based data mapping.
• Exposure (academic or internship) to system integration, business analysis, or testing.
• Interest in Salesforce, cloud platforms, integration or enterprise systems.

Ways of working

• Work collaboratively within an agile, sprint-based build delivery environment.
• Learn by supporting senior consultants.
• Take ownership of assigned data mapping and testing tasks, ensuring accuracy and completeness.
• Communicate proactively on progress, issues, and dependencies.
• Be comfortable working with detailed, structured tasks that require consistency and attention.

Success measures

• Produce accurate and complete data mapping documentation with minimal supervision.
• Understand Salesforce data models and basic integration flows.
• Support testing cycles with minimal errors in data validation.
• Proactively follow up on issues and close assigned tasks.
• Communicate clearly and build working relationships across teams.
• Demonstrate reliability, attention to detail, and ownership in day‑to‑day work.

Education

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

Role Overview:
We are looking for a Principal Systems Analyst, Data Platform to support the stability, modernisation, and continuous improvement of enterprise data platforms. The role will oversee data platform operations, release management, performance monitoring, service improvement, and governance across data warehousing, ETL pipelines, analytics environments, and cloud-based platforms.

The successful candidate will play a key role in driving platform modernisation, including cloud adoption, AI-driven automation, CI/CD implementation, and scalable analytics solutions. This role will also provide technical leadership, mentor team members, and work closely with stakeholders to ensure data platforms remain secure, reliable, compliant, and aligned with business needs.

Key Responsibilities:
1) Operations & Service Management

• Oversee the stability, scalability, and reliability of enterprise data platforms.
• Ensure smooth integration of data warehousing, ETL pipelines, and analytics environments.
• Act as the subject matter expert for troubleshooting and resolving complex data platform issues.
• Monitor platform performance, availability, and capacity to identify and mitigate operational risks.

2) Service Improvement & Strategy

• Evaluate existing data platform capabilities and recommend improvements to enhance performance and efficiency.
• Drive modernisation initiatives, including cloud-native services and AI-driven automation.
• Align data platform strategy with organisational goals for digital transformation and advanced analytics.
• Identify opportunities to improve platform operations, automation, governance, and user adoption.

3) Release, Change, Performance & Availability

• Manage release cycles, upgrades, and change requests across data platform components.
• Implement and support CI/CD pipelines to streamline deployments and reduce downtime.
• Monitor platform performance, availability, and capacity trends.
• Proactively identify risks and recommend improvements to platform resilience and reliability.

4) People & Technical Leadership

• Provide technical leadership and mentorship to analysts, engineers, and consultants supporting the data platform.
• Collaborate with cross-functional teams to ensure platform solutions meet business and operational needs.
• Lead stakeholder workshops and training sessions to improve data literacy and platform adoption.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

5) Governance, Risk & Compliance

• Ensure compliance with data governance frameworks, privacy regulations, and industry standards.
• Establish and maintain documentation, audit trails, and policies for platform operations and automation workflows.
• Identify and mitigate risks relating to data integrity, platform reliability, security, and compliance.

Requirements:

• Strong experience in systems analysis, SQL, data warehousing, data platforms, and business intelligence tools.
• Hands-on experience with BI tools such as Qlik, Tableau, or Power BI.
• Proficiency in Python, machine learning concepts, and MLOps practices for scalable analytics solutions.
• Experience with RPA tools such as UiPath and Microsoft Power Platform, including Power Automate, Power Apps, and Microsoft Fabric.
• Strong understanding of ETL, data modelling, and data governance frameworks.
• Exposure to CI/CD pipelines and cloud data platforms such as Azure Synapse, AWS Redshift, or Google BigQuery.
• Excellent communication, stakeholder management, and data storytelling skills.
• Healthcare domain experience will be advantageous.
• PMP or Scrum Master certification will be advantageous.
• Experience in AI/ML-driven automation and advanced analytics use cases will be advantageous.

Preferred:

• Healthcare domain experience
• PMP or Scrum Master certification
• Experience in AI/ML-driven automation and advanced analytics use cases

Key Responsibilities

• Plan and supervise a wide range of construction projects from start to finish
• Organize and oversee construction procedures to ensure they are completed in a timely and efficient manner
• Manage the overall implementation and completion of projects within the scheduled time, cost, and quality
• Recommend appropriate risk control measures to reduce or eliminate risks identified during assessments
• Monitor the progress of projects and update management regarding any schedule variances
• Develop, monitor, and review equipment and manpower deployment plans for project sites
• Assist in plan and specification analysis to provide clear and traceable designs and drawings for construction

Qualifications

• Bachelor’s degree or above in Electrical Engineering (A Master's degree is highly advantageous).
• 10+ years of DC construction / greenfield project is required for the role
• Excellent knowledge of relevant rules, regulations, and quality standards
• Holding an EMA Licensed Electrical Worker (LEW) certification in Singapore is a massive plus

If you are interested in the position

Please include your availability, expected salary and reason for leaving current job

We regret that only shortlisted candidates will be contacted

EA: 94C3609 / Reg: R1325913