Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you wish to be challenged to think creatively? The people here at Apple don’t just craft products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! The Data Center Operations group is looking for a Field Service Engineer. The successful candidate will be responsible for deploying and maintaining servers and supporting fixtures and infrastructure in Data Centers located within Asia Pacific region. In this role you will focus on developing and sustaining solutions through communication and coordination with Apple Data Center teams and Business Groups to help deliver a solid infrastructure and services to meet global business objectives. We seek a self-starter, visionary team player with strong infrastructure cabling capabilities to drive standards as well as innovative methodologies to achieve these objectives.

Description

You will help complete projects in the deployment and maintenance of compute servers, including cabling infrastructure and DCIM elements. You will provide DC incident management and change control to prevent and/or manage failure scenarios leading to the recovery of services with improvement plans to mitigate future occurrence. A proven track record in vendor management for infrastructure expansion, enforce compliance with technical specifications and quality standards is also needed. You will lead material movements with Engineers, Project Managers and/or Customer Business teams on executing movements within required delivery timelines. Ensure required actions are implemented in Apple systems to facilitate job function, identify issues and perform Root Cause Analysis to prevent future operational impact.

Minimum Qualifications

• Expertise with data center operational tasks, including rack sizing, construction, equipment installation and decommissioning. Willing to do hands-on activities.
• Hands-on experience with various copper and fiber cabling structures, cable infrastructure design and labeling methodology.
• Expertise with break-fix and incident management.
• Experience with DCIM (Data Centre Infrastructure Management) tools. Hands-on operations in securing and monitoring equipment with enterprise level management tools.
• Possesses a global perspective with the ability to understand and work effectively in a culturally diverse organization
• The proven ability to manage key stakeholder interests while at the same time managing conflicting priorities and business interests.

Preferred Qualifications

• Must be capable of independent problem solving and self-motivated.
• Strong communicator at all levels with excellent oral and written skills to a variety of audiences.
• Prior experience in DC operations, supply chain, DC Construction would be beneficial.

We are seeking a skilled SQL Migration and Database Specialist to lead our database migration projects and optimize our data management processes. This role requires expertise in SQL and database management, with a focus on ensuring smooth migrations, data integrity, and minimal downtime. You will work closely with IT teams to develop migration strategies, troubleshoot issues, and enhance database performance.

Key Responsibilities:

• Plan, execute, and oversee SQL database migrations, ensuring accuracy, data integrity, and minimal downtime.
• Analyze existing database structures and recommend improvements to optimize performance and scalability.
• Perform data validation and consistency checks before, during, and after migrations.
• Identify and resolve performance bottlenecks, optimize queries, and ensure databases run efficiently.
• Implement robust backup and recovery plans to protect data during migration and reduce risk of data loss.
• Diagnose and resolve database issues in a timely manner, ensuring minimal disruption to operations.
• Maintain detailed documentation for migration processes, configurations, and procedures.
• Work closely with cross-functional teams, including application developers, system administrators, and project managers, to ensure seamless database integration and alignment with business goals.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven of 5+ years of experience in SQL database migration and administration.
• Strong understanding of relational database design, optimization, and data modeling.
• Familiarity with various SQL database platforms (e.g., MySQL, MS SQL Server, Oracle).
• Proficiency in SQL scripting and query optimization.
• Experience with data migration tools and techniques.
• Strong problem-solving skills and ability to diagnose and resolve database issues.
• Knowledge of ETL processes and data integration.

Soft Skills:

• Excellent communication skills, with the ability to explain complex database concepts to non-technical stakeholders.
• Strong attention to detail and a commitment to accuracy and data integrity.
• Ability to work in a fast-paced environment and manage multiple tasks effectively.

Preferred Qualifications:

• Experience with cloud database solutions (e.g., AWS RDS, Azure SQL Database).
• Knowledge of data security best practices and GDPR compliance.
• Certifications in database management or cloud technologies (e.g., Microsoft Certified: Azure Database Administrator).

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• At least 10 years of experience in a relevant industry or consulting role. Management consulting experience gained through a Big 4 is highly advantageous
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments
• Experienced in engaging and managing a variety of stakeholders
• Prior experience of leading team for projects and pursuits
• Excellent written, communication, and presentation skills in English (additional local language skills are considered an asset)

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

JLL Technologies is a tech-focused division of Jones Lang LaSalle, a world leader in real estate services and a Fortune 500 company. This role is part of an embedded team that collaborates with strategic clients, primarily focusing on one of the largest software companies headquartered in Silicon Valley. The Data Support Analyst is responsible for providing data operations support to JLL client(s) through thorough data analysis and integrity checks, and is ideal for someone eager to engage directly with clients and partner with JLL leadership to shape the long-term direction of their role. The role requires effective interaction with clients, account leadership, and cross-functional teams in a fast-paced environment that demands the ability to manage multiple activities and delight clients simultaneously.

Responsibilities:

• Work closely with real estate and transaction teams to ensure timely and effective fulfillment of needs
• Conduct monthly quality assurance checks and maintenance on production data to ensure their fit-for-purpose
• Provide data operations support, including metrics updates and portfolio scenario configurations
• Prepare presentation decks to a high standard of quality
• Maintain data integrity and accuracy across multiple systems and tools
• Understand and anticipate client needs, proactively addressing their queries and concerns in a timely and professional manner
• Clearly and concisely communicate complex concepts and findings to both technical and non-technical stakeholders
• Continuously seek opportunities to improve processes and workflows, increasing efficiency and reducing errors

Requirements:

• Bachelor’s degree, or equivalent experience in a related field; relevant work experience will also be considered
• Working experience with tools such SQL, Excel, Google Sheets and a willingness to learn new technologies (e.g., Google Cloud Platform, Google Colab, AppScript).
• Proficient data analysis and data validation skills
• Meticulous and outstanding attention to detail
• Proven problem-solving abilities, with a focus on identifying root causes and implementing effective solutions
• Strong verbal and written communication skills
• Ability to prioritize tasks and manage workload effectively
• Self-motivated and a strong sense of ownership, with a drive to proactively identify opportunities and effect change
• Willingness to work across multiple time zones and adapt to changing priorities
• Exceptional customer service skills, with a commitment to delivering high-quality results

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

1) Process Support:

- Keep up to date with latest procedures, forms and templates

- Assist to raise requests, complete forms, obtain approvals, etc. as required by process

- Track timeline and actions according to plan

- Coordinate and follow up to meet timelines

- Organize and file documents

2) Department Asset Inventory Management:

- Document purchases

- Regularly report expiries in advance and expenses against budget

3) Department Budget Record:

- Populate budget items

- Document submitted and approved budget

- Document allocation method and allocation

4) Department Initiative/Program/Project Tracking:

- Document all initiatives, programs, projects

- Record status in regular department meetings

5) Department Visitor Management:

- Manage access and refreshment if required

- Receive and bring visitors to meeting area

6) Department Communication Management:

- Regularly check department mailboxes, emails, tickets to ensure timely response

- Coordinate and schedule department meetings

- Manage and distribute Work From Home/Office schedule

7) Department Reporting:

- Assist in compiling committee and board reports

- Note and remind presenters of reporting schedules

8) Process Improvement:

Constantly look to enhance current process with better tools or methods

Job Requirement

• Proficiency in MS Office (Word, Excel, PowerPoint) and other office software
• Strong written and verbal communication skills
• Good time management and prioritization skills
• Preferably has experience working with cross-geographical teams
• Proven experience as an administrative assistant or similar role
• Diploma or equivalent
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Qualifications

Job responsibilities

• Build out data infrastructure and data pipelines in a secure and privacy compliant manner.
• Work with feature teams to provide reliable data and infrastructure.
• Maintain existing data infrastructure and ensure critical data is available and reliable.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Java, C++).

Preferred qualifications

• Experience working with large data and creating and making available data cubes for other teams.
• Experience in optimizing data processing pipelines and data serving.
• Experience with data analysis and visualization tools (e.g., SQL, Colab).

Our Client is one of the world’s leading logistics providers with a strong reputation for innovation, sustainability, and global reach

Job Summary:

• MNC Logistics Company
• Career Progression
• Profile Enrichment
• 5 Days Work Week
• AWS + VB

Job Responsibilities:

• Perform detailed data analysis and validation, as needed, to provide actionable insights.
• Automate scorecard reports for various business units using Python, R, VBA, and PowerAutomate.
• Develop and maintain multiple Power BI dashboards to visualize daily operations, KPIs, and financial performance.
• Design PowerApps to capture missing data that can enhance productivity, justify costs, and identify anomalies.
• Offer IT support and troubleshoot platform issues when necessary.
• Actively participate in and drive Operational Excellence (OPEX) and Continuous Improvement (CIP) initiatives.

To Succeed in This Role, You Should Have:

• Diploma in Computer Science or equivalent
• At least 3 year of relevant experience in an IT-related role.
• Proficiency in Python, R, VBA, coding, PowerAutomate, PowerBI, and Tableau.
• Strong critical thinking, problem-solving abilities, and a strong work ethic.

Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON or email the updated resume to [email protected]

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.

Kuan Mei Yang

Registration Number: R24124509

EA License No: 06C2859 (MCI Career Services Pte Ltd)

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 100,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 1,500 of the brightest and most innovative people in tech located across more than 20 offices across the globe. Valued at US$5.6 billion and backed by world-leading investors including Sequoia, Lone Pine, Greenoaks, DST Global, Salesforce Ventures and Mastercard, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us.

About the team

As the engineering organization matures, the infrastructure teams are the key to Airwallex's ability to build a globally distributed platform, increase engineer productivity and ensure effective use of resources. Our teams work to provide the best possible experience for our developers and customers while providing a safe and secure environment to ensure that our financial solutions are always available.

What you’ll do

The Data Infrastructure team is tasked with providing our data engineering and analytics teams with the right tools. You will be responsible for developing and maintaining the data infrastructure, incorporating technologies such as Kafka, Flink, and Spark. Additionally, you will create and enhance tooling and platforms to empower the engineering team with improved self-service capabilities.

This role is based in Singapore.

Responsibilities:

• Design and implement a robust and scalable data infrastructure tailored to meet different needs of the engineering team.
• Design and develop scalable software applications or systems that provide good self-service capabilities and ensure robust architecture and maintainability.
• Conduct comprehensive testing and quality assurance to identify and rectify errors, ensuring the software aligns with quality standards and functions effectively.
• Perform ongoing maintenance and troubleshooting for deployed software, implementing updates and enhancements to improve functionality and address evolving needs.
• Collaborate effectively with cross-functional teams to ensure project alignment and timely delivery.
• Engage in continuous learning to stay abreast of emerging technologies, programming languages, and development methodologies, enhancing the quality and efficiency of software solutions.

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

• A minimum of 5 years of engineering experience.
• Bachelor degree or above in computer science or engineering related majors.
• Extensive understanding of software development lifecycle, with experience in building frameworks or tools for various stages.
• Demonstrated expertise in Kubernetes, Terraform, and GitOps
• Hands-on experience with at least one programming language.
• Commitment to best practices in engineering, security, and design.

Preferred qualifications:

• Data streaming engineering experience.
• Prior experience working with data streaming platforms such as Kafka.

Job Purpose

As an Executive, Data Analytics, your role will be pivotal in supporting data-driven decision-making processes and delivering valuable insights to support strategic initiatives. You will support in implementing Artificial Intelligence / Machine Learning (AI/ML), leveraging on data to enhance advertising strategies, improve ROI, and contribute to the organisational’s growth.

Please note that the incumbent will be hired on a 1 + 1 year contract.

Responsibilities

The duties and responsibilities are listed below. The list is not comprehensive and related duties and responsibilities may be assigned from time to time.

1. Data Analysis and Insights:

• Conduct in-depth data analysis to identify trends, patterns, and actionable insights from advertising campaigns.
• Perform a market-based assessment and execute new go-to-market strategies in the field.

2. Campaign Optimization:

• Collaborate with marketing and sales teams to optimize campaign performance through data-driven strategies.
• A/B testing and experimentation to improve ad creative, targeting, and messaging.
• Streamline and drive process improvements for operational excellence

3. Data Visualization:

• Create data marts, visually appealing and informative data visualizations to communicate findings and insights effectively.
• Develop and maintain dashboards and reports to track key performance metrics and provide actionable recommendations.
• Drive end-to-end data projects; identify issues, gather information from various sources, analyse huge data, interpret patterns and trends, build models, give recommendations, and create insightful automated reports.

4 . Artificial Intelligence / Machine Learning (AI/ML)

• Support and implement machine learning models and algorithms.
• Collect, preprocess, and analyze data to train and evaluate AI models.
• Support the building of predictive models to forecast advertising campaign outcomes and customer behavior.
• Collaborate with data engineers to integrate AI solutions into applications and products.
• Test and validate AI models and algorithms to ensure accuracy and reliability.

5. Data Quality and Integrity:

• Ensure data accuracy and integrity by cleaning, transforming, and validating data from various sources.
• Support data mining and forensic review for completeness & accuracy.

6. Reporting and Documentation:

• Prepare and present regular reports and documentation to internal stakeholders and clients.
• Be a steward of good data practices – robust documentation, process and knowledge sharing.

Qualifications & Work Experience

1. Qualifications:

• Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Marketing Analytics preferred.
• Proven experience as a data analyst or similar role in advertising, research or consulting industry will be beneficial.
• Strong analytical thinking and problem-solving skills.
• Excellent written and verbal communication skills.
• Attention to detail and a commitment to data accuracy.

2. Work Experience:

• Minimum of 1-3 years of relevant work experience in data analysis preferred. Experience in the advertising, research or consulting industry will be a plus.
• Demonstrated experience in leveraging data to drive advertising campaign success.
• Track record of creating actionable insights and contributing to campaign optimization.
• Experience with client-facing roles or presenting data-driven insights to clients is a plus.

Skills

1. Technical Abilities:

• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of statistical analysis and modeling techniques.
• Experience with data warehousing and ETL (Extract, Transform and Load) processes.
• Understanding of A/B testing methodologies and experimentation.
• Knowledge of machine learning algorithms is a plus.

2. Team Dynamics Abilities:

• Strong communication skills to effectively convey data insights to both technical and non-technical stakeholders.
• Collaborative mindset to work closely with cross-functional teams such as marketing, advertising, and IT.
• Problem-solving skills to address complex data-related challenges.
• Ability to mentor and provide guidance to junior data analysts.
• Adaptability to work in a dynamic and fast-paced advertising environment.

Enterprise Data Access Control Technical Lead.

Are you a data professional with a passion for new technology and data governance trends? Do you understand the challenges of managing data at an enterprise scale? Are you excited about enabling data and analytics users by providing self-serve product-centric capabilities? If so, we invite you to join our team and help design and build our company's innovative data-driven future. As the Technical Lead for Enterprise Data Access Control, you will oversee all technical aspects of the design and development of EDAC, our self-service data access control product.

Responsibilities

• Oversee all technical aspects of the design and development of EDAC, our self-service data access control product.
• Lead a team of experienced data engineers and developers, working with the Product Manager and other product teams integrated in the EDE Product Line.
• Form a close relationship with technology vendors of industry-leading data products and help shape and deliver our product roadmap.
• Participate in new technology evaluations to identify opportunities and estimate effort to support the product roadmap with new tools.
• Manage the development team, working closely with the Scrum Master, the Product Manager, the Solution Architect, and other product teams in the product line.
• Run an agile delivery team, clarify requirements, design features, assign tasks in JIRA, support developers, produce and track estimates, oversee the development lifecycle and documentation, and escalate issues to the Product Manager or the Solution Architect as needed.
• Liaise with support and maintenance teams and infrastructure teams providing services to host your product.
• Work closely with key technology and service partners to ensure their products are correctly configured and delivering to help our product roadmap.

Qualifications

Required

• Bachelor’s degree in computer science, Information Technology, or related field.
• 8+ years of experience in software/data engineering and architecture.
• 5+ years of experience in data and analytics delivery initiatives.
• Ability to work in a fast-paced environment, driving results while collaborating with multiple simultaneous projects.
• Ability to work collaboratively with global teams across multiple departments, including offshore teams operating in different time zones.
• Proven track record of delivering projects on time and within budget.

Preferred

• Understanding of data or related trends such as Data Fabric, Data Mesh, Zero Trust, Data-as-a-Product, data ownership, and governance strategies.
• Knowledge of the AWS cloud ecosystem from a data and analytics standpoint, including a working knowledge of devops.
• Knowledge or experience of industry data access control products such as Immuta, Okera, Privacera, Apache Ranger, Security.ai, Cyral, Axiomatics etc.
• Knowledge of Enterprise metadata catalog tools such as Collibra, Amazon Glue, Informatica, Alation, Apache Atlas, Zaloni, etc.
• Data layer tools such as Databricks, Starburst Trino, Amazon Redshift, dbt, Matillion.
• Understanding of AI & Machine learning life cycle management and AI/ML model life cycle, tools like Amazon Sagemaker, DataRobot, Dataiku.

Position: HR Data Operations Specialist
Location: Raffles Place
Working Hours: 9:00 AM to 6:00 PM, Mondays to Fridays
Salary: $5,000 - $6,500 per month + pro-rated completion bonus
Contract Duration: Until end of May 2025

Job Description:

• Collaborate with the project team to analyze and optimize HR data to improve data quality and ensure accuracy across various HR system modules
• Develop and implement data standards and guidelines to maintain consistency and integrity across all HR data
• Partner closely with HR functional stakeholders to understand data needs and requirements, address data-related challenges, and support HR processes
• Work with the IT team to troubleshoot and resolve data issues, ensuring seamless integration and operation of HR platforms
• Identify and implement improvements to data-related processes and workflows, aligning data management practices with evolving business needs

To Apply:
Email your resume to:

Job Description & Requirements

Responsibilities

• Perform document related activities, eg. Sorting, preparation, scanning
• Perform data entry of materials
• Able to work as a team
• Other related duties assigned

Requirements

• Basic typing skills
• Good computer knowledge
• Candidates who are willing to work at other area are encouraged to apply
• Able to start work immediately preferred
• Training provided

Available options:

• Night shift: Monday to Friday, 09:00am - 6:00pm

Work location

• 1001 Jalan Bukit Merah

Salary :

- nigt shift allowance

- pay rate according to load of work (per carton done)

As a Data Center Design Manager you will be part of a global engineering leadership team, comprised of highly effective Architects, Structural, Civil, Mechanical, Electrical, and Control Engineers. AWS drives the engineering on our capacity delivery projects. This unique vantage point allows the Design Managers to maintain a close connection with project details and drive project outcomes. You will have impact on the design direction and ability to improve design delivery for all APAC projects, while establishing design procedures and protocols for the development of future systems. This role is an opportunity to collaborate with many facets of the AWS organization, external engineering resources and regulatory agencies.

Key job responsibilities

• Leading a team of engineers in the design of data center critical infrastructure systems
• Facilitating weekly meetings with internal engineer resources, internal customers and external consultants to address design issues, meet design milestones and escalate as needed.
• Driving process improvements.
• Creating and tracking metrics related to cost, quality and duration of design as well as collecting data from construction and commissioning teams as designs are implemented.
• Establishing capital project design budgets and contributing to complex business cases for existing region and new region deployment.
• Collaborating with AWS finance teams to secure funding for projects.
• Working in partnership with AWS Engineering leads to schedule engineering resources and influence design changes based on internal customer needs.
• Partnering with internal customers to establish project scope, schedule and deliverables.
• Managing document controller’s workflow and audit of deliverables

• Up to $5,500 Basic+ Variable bonus!
• Permanent position/ 5 work days/ Project Data centre @ Tuas [Shuttle service provide at Jurong East MRT station].
• Our client is a reputable MNC & leading A1 main contractor!

Our client is a reputable MNC and leading A1 main contractors diverse in civil and building project.

Job Responsibilities:
• Responsible for all works related to M&E Quantity Surveyor duties.
• Liaise with consultants and subcontractors on progress claim.
• Prepare subcontract documents and purchasing agreements.
• Preparing cost estimation and identify variation works.

Job Requirements:
• Diploma/ Degree in Mechanical/ Electrical/ Quantity Surveying or equivalent.
• Minimum 3 years in construction Building/ Data centre projects.

Other Information:
To apply please click on the APPLY button or email your resume to [email protected] with the following details:
• Reason for leaving each past & current employment
• Salary drawn for each past & current employment
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified.
Lionel Cheow
EA License | 14C7092
EA Registration Number | R1105005

About the Role

As a graduate joining our team as a HR Recruitment Consultant, you’ll step into the dynamic and exciting world of executive search, where you’ll match high-potential talent with high-growth businesses. You’ll gain exposure to a wide range of industries, including Financial Services, Legal, Technology, Manufacturing, Consumer Retail, Engineering, and more, with the opportunity to specialize as you grow in your career.

Through mentorship from our experienced professionals, you’ll be guided through the full cycle of recruitment, learning best practices that will set you up for long-term success. You’ll thrive in a positive, welcoming, and collaborative team environment, with the chance to build meaningful professional connections across industries.

Responsibilities

• Own the entire recruitment lifecycle: From sourcing and screening to interviewing and extending offers, you’ll be responsible for managing the full recruitment process.
• Ensure client satisfaction and retention: By delivering top-tier talent that aligns with clients’ needs, you’ll play a key role in maintaining strong, long-term relationships.
• Build and nurture talent pipelines: Establish and grow a network of top talent, both active and passive candidates, ensuring a strong pool of potential hires.
• Facilitate successful negotiations: Act as a bridge between clients and candidates, guiding constructive negotiations to create outcomes that benefit both parties.
• Track key recruitment metrics: Monitor and report on critical metrics, including meeting sales targets, to drive business performance.

What We Look Out For

• A degree in any discipline.
• Graduates with strong academic performance or relevant internship experience are welcome to apply – no prior work experience needed.
• A proven ability to thrive in a fast-paced, target-driven environment.
• A people-oriented mindset: you enjoy building relationships and working with others.
• Passion for sales, client service, and recruitment, with a genuine interest in helping others succeed.

Interested applicants please send your detailed resume to [email protected]

Sophia Kim Soo Kyung

EA License No: 16S8107 | EA Personnel No: R24125374

Job description

Provide support to manufacturing activities

Manual Intervention Tasks

Shift Support:

* Coordinate with other shift Automation resources to ensure smooth handovers.

* Contact and assist duty Automation Engineer on resolving complex technical tasks.

Safety and Compliance:

* Adhere to safety protocols and guidelines.

* Report any safety incidents promptly.

* Comply with company policies and procedures.

Job Requirements:

* Min Degree in Science/Pharma/Lifesience/Biomedical & above

* Possess good troubleshooting skills

* Full awareness of current Good Manufacturing Practices (cGMP)

* Required to wear personal protective equipment such as safety glasses/goggles, gloves and safety shoes

* Ability to work around chemicals (alcohols, acids & bases)

If you are interested in any of the positions, do kindly drop your most updated resume to

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Job description

Shift Support:

* Coordinate with other shift Automation resources to ensure smooth handovers.

* Contact and assist duty Automation Engineer on resolving complex technical tasks.

Safety and Compliance:

* Adhere to safety protocols and guidelines.

* Report any safety incidents promptly.

* Comply with company policies and procedures.

Job Requirements:

* Min Degree in Science/Pharma/Lifesience/Biomedical & above

* Possess good troubleshooting skills

* Full awareness of current Good Manufacturing Practices (cGMP)

* Required to wear personal protective equipment such as safety glasses/goggles, gloves and safety shoes

* Ability to work around chemicals (alcohols, acids & bases)

If you are interested in any of the positions, do kindly drop your most updated resume to

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Data Scientist to address immediate project needs and align to our broader strategy of developing a skilled, adaptive, and future-ready workforce. This role focuses on developing our data capabilities, supporting current and future organisational goals.

Job Role:

Support for Ongoing Projects: Assist in data collection, analysis, and preliminary insights to support project timelines and maintain momentum on strategic initiatives.

Scalability of Data Operations To handle routine tasks like data preprocessing, exploratory analysis, and report generation, freeing up senior team members to focus on more complex data modelling and strategic decision-making.

Skill Development and Knowledge Transfer: Promote a learning culture by supporting talent development through mentorship, enabling skill acquisition for apprentices and fostering knowledge transfer within the team.

Adaptation to Emerging Trends: Leverage apprentices' training in the latest data science techniques to drive innovation, introducing fresh ideas aligned with emerging trends in AI, machine learning, and predictive analytics.

Key Responsibilities:

Data Analysis and Modeling

• Collect, clean, and preprocess large sets of structured and unstructured data from various sources (e.g., user behavior, educational content, performance assessments).
• Apply statistical analysis, machine learning, and predictive modeling techniques to derive insights that enhance educational solutions.
• Develop and refine recommendation systems, predictive models for student performance, and personalized learning pathways.
• Collaborate with stakeholders to design experiments (A/B testing) and analyze the impact of interventions.

Data Visualization

• Create compelling visualizations to communicate findings to technical and non-technical stakeholders, including educators, product managers, and executives.
• Use data storytelling to drive decision-making and improve user engagement.

Collaboration and Communication

• Work with product, engineering, and UX teams to integrate data-driven insights into the development of learning tools and applications.
• Present data findings to internal teams and clients to showcase the impact of data-driven decisions.

Algorithm Development

• Design and improve algorithms that personalize learning content and optimize student outcomes based on user interaction and performance data.
• Continuously refine data collection and processing techniques for improved accuracy and usability.

Note: This is a 6 months attachment with potential for conversion to full time.

Detailed JD (Roles and Responsibilities)

• Data Collection and Analysis: Collect, analyse, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
• Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
• Enhancements: Identify opportunities for process improvement and operational efficiency
• Research and Learning: Deeply understand client’s relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools

Mandatory skills

• BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
• 2-4 years of financial/business/data analyst experience
• Knowledge of accounting principles, financial statements, and financial modelling
• Understanding of Data Design Pattern differences between transactional ERP systems (SAP) and analytical data warehouses (BigQuery, Snowflake)
• Knowledge of SQL and working with large datasets
• Experience with data analytics tools and languages (R, Python…)
• Experience building interactive data visualizations, strong storytelling skills (Tableau, Streamlit, Shiny…)

Desired/ Secondary skills

• Experience building/applying statistical and/or machine learning solutions to solve business problems
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
• Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
• Strong verbal and written communication skills with ability to articulate results of analysis in business terms
• Confirmed ability to conduct complex, data driven analysis
• Ability to work independently and collaboratively in a fast-paced environment
• Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis

Domain

eCommerce / Retail / SAP

Requirements

• Minimum of 6 years of hands-on experience in Data Engineering, Data Analytics, and BI reporting.
• Proven expertise in Tableau, Power BI, Spark, Scala, Python, API and large-scale data environments.
• Experience across industries such as banking, insurance, and trading.
• At least 3 years of relevant experience in banking/financial services industry
• Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.
• Strong SQL, Python, Java and Unix shell scripting
• Incident, problem, and service Outage management experience is Plus.
• Good Communication and Articulation Skills
• Strong in data engineering concepts and programming
• Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Experience in supporting data transformation, data structures, metadata, dependency and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience with Cloud Data Warehouses like AWS Redshift or Snowflake.
• Familiarity with Kubernetes and containerized environments.
• Exposure to Machine Learning (ML) models and integrating them into data reporting pipelines.
• Primary Skills:
  • Tableau: Expertise in Tableau Desktop, Tableau Server, creating custom calculations, dashboards, and reports.
  • Big Data Technologies: Spark, Hadoop, Kafka, Databricks.
  • Programming: Python, Java (Core), Scala (for Spark).
  • BI Tools: Power BI, MicroStrategy, Alteryx, Tableau Prep.
  • SQL & Databases: SQL Server, MySQL, Oracle, Redshift, Hive, MariaDB, SAP NetWeaver.

Responsibilities

• Provide operational support and ensure SLI of Applications
• Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA
• Proactively Identify and Identify opportunities for preventive Maintenance
• Perform Administration & Optimization to achieve of Optimal System Performance
• Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards
• Recommend Design and Operational Optimizations
• Respond on time to the queries raised by various business units
• Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders
• Work with Project/Enhancement Teams to Review, Transition for Run Team
• Participate in Disaster Recovery and Business Continuity exercises
• Support relevant software/platform/database upgrade for the systems
• Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications
• Support data APIs, data science ML applications running on Kubernetes platform

Interested candidate please click "APPLY". 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 PERSOLKELLY 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.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

This is in partnership with 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 e2i’s PDPA.

PERSOLKELLY Singapore Pte Ltd • UEN No. 200007268E • EA License No. 01C4394• Reg. EA Registration No. R1768000 (Nguyen Quynh Nhu)

Responsible to manage system development, implementation and support of EAI applications, including:

• Develops applications that effectively accomplish client objectives and user needs.

• Designs and writes code for applications and maintain applications databases.

• Analyzes and edits existing software applications to improve and optimize functionality, fix problems, and enable their use on new hardware platforms.

• Remodels and adapts applications as needed to optimize performance.

• Identifies specific client needs and preferences related to the application.

• Tests applications extensively to ensure they are error and bug-free.

• Installs applications and acts as technical advisor.

• Communicates with relevant internal technical stakeholders to obtain information on project limitations, performance requirements and interfaces.

• Consults with clients in the design phase to determine client needs.

• Produces software documentation following company/client software process and templates.

• Participates in software product review meetings and team meetings.

• Performs any other related task as required.

Key Requirement

• Bachelor's degree or equivalent in computer science or software engineering or related field.

• Seasoned Software Applications Engineering, Software Development experience, or related work experience.

• Seasoned experience with Programming Languages such as (but not limited to) ANSI C, C++, and Unix Korn Shell programming

• Seasoned experienced with Linux or Unix and Windows operating systems.

• Seasoned experience working with Oracle Tuxedo, IBM MQ Series.

• Experience in banking or financial industry

• Certification in various programming languages, for example (but not limited to) Java, Perl, Python, C++ preferred.

• Working together with a managment team to define business and information needs.
• Translate business requirements into analytics and reporting specifications.
• Optimize and automate data collection processes.
• Provide and assist with daily operational tasks and system support.
• Assist and support sales team on current and potential clients.

Job Summary

We are seeking a detail-oriented Data Analyst to support daily operational reporting, data extraction for various business needs, and audit-related tasks. This role is integral to ensuring data accuracy, providing actionable insights, and supporting compliance within our credit card operations. The ideal candidate should have a strong analytical background, experience with SQL, and an understanding of financial data relevant to the credit card industry.

Responsibilities

1.Daily Operational Reporting

• Generate, review, and distribute daily, weekly, and monthly reports related to credit card transaction volumes, financial performance, and other OKRs.
• Ensure the accuracy, reliability, and timeliness of all reporting outputs.
• Collaborate with different departments to customize reports to meet operational needs.

2. Data Extraction for Business Operations

• Use SQL or other query tools to extract data as needed for ad-hoc analysis,performance tracking, and business operations.
• Work with cross-functional teams to understand data needs, design queries, and ensure data integrity.
• Identify data trends and provide recommendations based on analysis.

3. Audit and Compliance Support

• Support internal and external audit activities by retrieving and validating required datasets.
• Document data sources, extraction methodologies, and calculations to ensure data transparency.
• Collaborate with compliance and risk management teams to ensure data reporting aligns with regulatory requirements.

4. Data Management and Quality Assurance

• Conduct regular quality checks on datasets and reports to ensure consistency andaccuracy.
• Participate in data cleansing and enrichment initiatives to improve data quality.
• Maintain data documentation and ensure adherence to data governance policies.

5. Continuous Improvement

• Identify opportunities to automate data processes and reporting workflows.
• Develop and enhance analytical tools and dashboards to support decision-making.
• Stay updated on industry trends and best practices in data analytics for financial services.

Qualifications

• Bachelor’s degree in Data Science, Finance, Economics, Statistics, or a related field.
• Proven experience as a Data Analyst, preferably within the financial or credit card industry.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI)
• Strong analytical and problem-solving skills with a keen eye for detail.
• Familiarity with audit processes and regulatory compliance requirements.
• Ability to communicate insights effectively to both technical and non-technical stakeholders.

Preferred Skills

• Knowledge of data warehousing and ETL processes.
• Understanding of credit card operations and financial transaction data.
• Experience with statistical tools (e.g., Python, R) is a plus.