Total 622 Senior Executive data entry job vacancies

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.

About the Organization:

Our client a global leader in data storage solutions, enabling organizations worldwide to manage and protect their data.

Job Details:

• Contract Duration: 12 Months

• Location: One North

• Working Days & Hours: Mon – Fri, 8am – 5.30pm

Role Summary

We are seeking for People & Places Data & Knowledge Operations Associates to provide hands-on, execution-focused support for data cleanup, content organization, validation, and AI readiness across core People & Places platforms. These roles focus on day-to-day delivery — ensuring that SAP SuccessFactors, SharePoint, and related systems contain data that is accurate, consistently structured, findable, and ready to support AI tools, automated workflows, and redesigned HR processes.

This is not an engineering, analytics, or system administration role. It is designed for someone who is detail-oriented, process-focused, and comfortable doing precise, methodical work directly in enterprise systems — following established standards and flagging issues clearly when they arise.

Key Responsibilities

1. Data Cleanup & Validation

• Perform routine data correction, normalization, and validation across People & Places datasets in SAP SuccessFactors and related platforms

• Identify and resolve missing, duplicate, inconsistent, or outdated records using established procedures

• Update fields, naming conventions, metadata, and controlled lists to maintain consistency standards

• Maintain audit trails and documentation for all changes made

2. Content Organization & Knowledge Management

• Organize People & Places content in SharePoint using approved structures, metadata schemas, and governance rules

• Tag, label, archive, and version documents so they are discoverable by AI tools and search

• Maintain policy, FAQ, and process documentation libraries to keep them current and AI-ready

• Support content migrations or reorganizations during workflow redesign efforts

3. Cross-System Data Consistency

• Support alignment of people data across SAP SuccessFactors, Gloat, Affinity, SharePoint, and related tools

• Identify and flag discrepancies between systems that impact reporting, workflows, or AI outputs

• Assist with data validation activities during migrations, integrations, or platform transitions

4. AI & Agent Readiness Support

• Prepare and validate datasets used by AI-enabled tools, agents, and workflows

• Follow checklists and quality standards for structuring content to improve AI performance (e.g., metadata, file naming, tagging conventions)

• Flag data risks that could impact AI accuracy, output reliability, or trust

• Support testing and validation of AI outputs by confirming underlying data accuracy and completeness

5. Workflow & Documentation Support

• Maintain simple trackers for data cleanup progress and issue resolution

• Assist with documenting data flows and source systems for HR and Workplace processes

• Help draft basic instructions, checklists, and knowledge articles as needed

• Partner closely with the Transformation BA and People Analytics team to prioritize and resolve data issues

Required Qualifications

• 1–3 years of experience in HR operations, data entry/maintenance, business administration, or similar roles

• Comfortable working directly in SAP, SharePoint, and Microsoft 365 tools (Teams, Excel, OneDrive)

• Strong attention to detail with a consistent habit of keeping data clean and organized

• Ability to follow structured processes and complete precise, repetitive work with high accuracy

• Good communication skills and willingness to ask questions when something is unclear

 Preferred Qualifications

• Experience supporting data cleanup, content structuring, or system transitions

• Familiarity with AI concepts, Microsoft Copilot, or enterprise search tools

• Understanding of metadata, file hygiene, or basic knowledge management practices

• Comfort learning new tools quickly in a fast-moving transformation environment

What Success Looks Like

People & Places data in SAP SuccessFactors and SharePoint is consistently accurate and well-organized

AI tools produce more reliable outputs because the underlying data is clean and accessible

Workflow redesign projects move faster because data issues are identified and resolved quickly

Teams find content easily — and trust what they find

Each associate becomes the go-to execution resource for data hygiene and content organization within their assigned platform or domain

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform - GO.

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• Reg. R22111375 Chua Jie Lin

Location: Kallang (Near MRT)

Employment Type: Permanent

Salary Range: $4,000 - $4,600

Responsibilities

• Build, maintain, and analyze datasets, dashboards, and reports to support sales analysis and business decision-making
• Translate data-driven insights into actionable sales and marketing strategies
• Drive and execute B2B marketing initiatives, promotional campaigns, and lead generation activities
• Support market development through data analysis using Microsoft tools, SAP, and internal systems
• Collaborate closely with sales teams to identify opportunities and improve sales performance
• Monitor campaign effectiveness and provide recommendations for continuous improvement
• Contribute ideas proactively to enhance operational efficiency and commercial performance
• Support marketing planning, sales enablement, and customer engagement initiatives

Requirements

• Bachelor’s Degree in Marketing, Business, Engineering, or related disciplines
• 3 to 6 years of relevant marketing experience, preferably within B2B industries
• Strong data analysis and reporting capabilities
• Proficient in Microsoft Excel and Power BI or Tableau
• Knowledge of Power Automate will be advantageous
• Experience in building dashboards and reports
• Proven experience in campaign execution, lead generation, and data-driven marketing initiatives
• Strong analytical mindset with the ability to interpret business trends and propose actionable solutions
• Proactive, meticulous, and able to work in a fast-paced environment
• Possess strong communication and stakeholder management skills

Interested applicants, please email your resume to lilian@juhlerprofessionals.com.sg

Tan Li Lian

EA 01C3135

Reg R1100465

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Senior Data Centre Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities. This role provides technical leadership in managing critical M&E infrastructure, supports service delivery excellence, and ensures compliance with safety, operational, and regulatory standards.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan, supervise, and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Technical Leadership

• Provide technical guidance and mentorship to junior engineers and technicians.
• Act as escalation point for complex technical issues.
• Support audits, certifications, and compliance initiatives (e.g. ISO, SS 564, Uptime).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 4-5 years of relevant experience for a data centre

Work Locations: Bedok/Woodlands (Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $5500

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]