• Manage a team to analyze business requirements and visualize data, identifying trends and insights that drive informed business decisions.
• Integrate analytical findings into business operations by collaborating with various teams and stakeholders to ensure alignment and execution.
• Develop and implement data processing models, presenting clear, actionable outcomes that support operational efficiency and compensation strategies.
• Assess and optimize existing and new processes for data migration, ensuring seamless and consistent reporting and data aggregation.
• Design, automate, and maintain essential dashboards for business units, providing real-time insights to support key business functions.
• Oversee daily operational activities, ensuring data validation is completed accurately and in accordance with business rules and timelines.
• Serve as the Finance Operations representative for systems and tools related to compensation, including system migrations, database changes, and data structure modifications.

Requirements

• Experience in various data analytics tools eg Alteryx, Anaplan, Python, Power BI, SQL, Qlik etc
• Familiarity with database, cloud, and various FP&A tools

Interested applicants please send your resume in MS Word format and attention it to Rachel Yeo (R22104385).

Shortlisted candidates will be notified

Data provided is for recruitment purposes only

www.ambition.com.sg

EA Registration Number: R22104385

Business Registration Number: 200611680D. Licence Number: 10C5117

Job Description:

As a Senior Architect specializing in Data Centers, you will play a pivotal role in the design and engineering of critical infrastructure systems. You will lead a team of engineers and collaborate with various stakeholders to ensure the successful delivery of data center projects.

Key Responsibilities:

• Design Leadership: Lead the design of data center infrastructure, including electrical, mechanical, and structural systems.
• Project Management: Oversee project timelines, budgets, and resources to ensure projects are completed on time and within budget.
• Collaboration: Work closely with internal teams, external consultants, and regulatory agencies to address design issues and meet project milestones.
• Quality Assurance: Ensure the accuracy and quality of design documents and specifications.
• Process Improvement: Drive continuous improvement in design processes and methodologies.
• Client Engagement: Partner with clients to understand their requirements and deliver solutions that meet their needs.

Requirements:

• Education: Bachelor's or Master's degree in Architecture or a related field.
• Experience: Minimum of 5 years of experience in data center design and engineering.
• Skills: Proficiency in design software such as AutoCAD, Revit, and other relevant tools. Strong project management and leadership skills.
• Certifications: Relevant professional certifications are a plus.
• Communication: Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with large-scale data center projects.
• Knowledge of industry standards and best practices.
• Ability to work in a fast-paced, dynamic environment.

If you are interested in this opportunity, please submit an application to this job with an updated CV detailing your relevant experience to this job ad or directly

Only shortlisted applicants will be contacted.

Reporting to the Head of Engineering, Chubb Life, the primary responsibility of the Principle Engineer - Data for Chubb Life is to cultivate data engineering skills and adopt new age data tools into Chubb Life to support the fast-growing business and customer needs. Concurrently, success will also be viewed in aligning Chubb Life approaches to Chubb Group’s overall target operating models. As Chubb Life operates an extensive matrix reporting structure, strong influencing skills are critical in ensuring all technology related services and deliverables are executed within business expectations.

You will form strong working partnerships with business and technology leaders, plan and implement data engineering programs, formulate data and analytics strategies for solving business problems.

You will have superb engineering, technical, business and communication skills to be able to work with functional leaders to define and prioritize key data needs and build data products & platforms.

Responsibilities

• Develop the vision for Chubb Life’s data engineering approach and drive the data engineering strategy in tandem with the data transformation program
• Accountable for the data pipelines and data platforms that support the business needs across Chubb Life businesses
• Build a data engineering organization and governance model that is business focused, proactive, and resilient
• Attract, hire, and retain top talent, creating an engineering culture that fosters innovation and collaboration
• Promote data governance and master/reference data management as a strategic discipline
• Implement strategies to monitor the effectiveness of data management
• Be an inspiring engineering leader, mentor, and coach, be an active member of the data leadership team
• Evaluate emerging data technologies and provide thought leadership to determine their business benefit and impact on the future-state data platform
• Manage and drive the relationships between Chubb Life Global and the Global Life teams across geographic locations, establishing the ongoing operating model
• Proactively engage with teams in market and global offices to design and execute on a roadmap for internal, partner, and client data solutions for the business
• Evolve the way the business thinks about the importance of data and show how a robust data strategy can drive substantial value to our customers and clients.
• Work with the Data Delivery functions to form a model that supports delivery at a strategic and tactical level to support speed to market and insights
• Work with Life Head of Data Transformation and the group Data engineering teams closely to achieve the ambitions of Life data

Core Competencies

• Customer focused, results and action oriented
• Excellent communication and interpersonal skills with the ability to actively engage staff and stakeholders, communicate vision, effectively communicate Data and Analytics concepts / solutions, and influence appropriately
• Strong time management and prioritization skills
• Well-developed delivery skills
• Change agent and appreciation of Agile principles and methodologies
• Demonstrated ability to drive business improvement and effectiveness via well designed data solutions
• Ability to proactively identify data-driven issues and opportunities, and use the appropriate level of technical acumen to drive solutions
• Ability to navigate and succeed in a large global enterprise
• Ability to set direction and participate in new initiatives when required, research, recommend and document modern technologies and processes that will provide benefits to the business
• Subject matter expert contributing to Chubb Life’s business and data strategy, ensuring the data architecture, infrastructure, methodologies, and tools employed are best practice and follow established governance processes

Additional Requirements

• At least 15+ years of experience in Software Development and/or Data Engineering Best Practices and development
• University qualification in computer science or equivalent data field qualification
• Proven experience in large multinational financial services industry, and previously held a data engineering leadership role
• In-depth experience in designing and implementing enterprise-wide cloud data and analytics platforms
• Hands-on architecture and delivery experience in large scale, cloud data management solutions
• Hands-on experience architecting and implementing large scale multi discipline master/reference data management, cloud data lake and analytics platforms
• Data technology literate with a detailed understanding of the modem data architectures and data analytics platforms
• Presentation and facilitation and design-thinking skills
• Ability to collaborate and communicate with executive level business leaders
• Insurance business domain, data/content and process understanding
• Knowledge of relational/object modelling, knowledge/graph modelling techniques
• Understanding of metamodels, taxonomies and ontologies
• Ability to assess rapidly changing technologies and apply them to business needs
• Good financial acumen and experience in planning and budgeting

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Lead, engage, and inspire a large team of high performing risk management professionals

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

Job Scope:
We are seeking for a Data Analytics Architect specializing in Azure and Databricks to design, develop, and manage cloud-based data solutions. In this role, you will be responsible for building scalable data pipelines, optimizing data architectures, and ensuring the efficient use of Azure and Databricks services. The ideal candidate will possess deep technical knowledge of Microsoft’s Azure ecosystem, Databricks, and related tools, with a solid focus on delivering high-performance data solutions.

Key Responsibilities:
Azure Architecture and Strategy:

• Design and implement Azure-based data architectures that are scalable, efficient, and aligned with business objectives.
• Develop a data strategy leveraging Azure Data Lake, Azure Synapse Analytics, and Azure Databricks for advanced data processing, storage, and analytics.

Databricks Platform Leadership:

• Lead the development of data pipelines and big data solutions using Azure Databricks, with a solid focus on leveraging Apache Spark for scalable data transformations.
• Optimize Databricks clusters for performance, cost management, and efficient resource utilization.

Data Integration and Extract, Transform, Load (ETL):

• Design, develop, and maintain robust ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks to ensure seamless data integration across various data sources.
• Lead the transformation of raw data into meaningful and actionable insights through PySpark or Spark SQL in Databricks.

Data Governance and Management:

• Implement and enforce data governance best practices using Azure Purview to ensure compliance, data quality, and integrity across the organization.
• Manage Azure Data Lake storage policies to ensure secure and scalable data management.

Performance Optimization:

• Continuously monitor and improve the performance of Azure SQL Database, Azure Synapse Analytics, and Databricks environments.
• Implement data partitioning, indexing, and other optimization techniques for fast and reliable data access.

Collaboration and Stakeholder Communication:

• Collaborate closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and provide tailored solutions.
• Communicate technical specifications clearly to both technical and non-technical stakeholders.

Team Leadership and Mentoring:

• Lead and mentor a team of data engineers in best practices related to Azure and Databricks platforms.
• Provide guidance on Azure DevOps practices, such as setting up continuous integration/continuous delivery (CI/CD) pipelines for automated data pipeline deployments.

Security and Compliance:

• Implement best practices for securing data at rest and in transit using Azure Key Vault, Azure Active Directory, and role-based access controls.
• Ensure compliance with data privacy regulations and internal security policies.

Job Qualifications:

• Degree in Information Technology or a related field.
• Extensive experience with Azure Data Services, including Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, and Azure Storage.
• In-depth knowledge of Azure Databricks for data engineering, including proficiency in Apache Spark, PySpark, and Delta Lake.
• Expertise in Azure Data Factory (ADF) for building complex data pipelines and integrating data from various structured and unstructured sources.
• Proficiency in designing and managing data lakes and data warehouses using Azure Synapse Analytics.
• Excellent experience with SQL, Python, and PySpark for building and optimizing data workflows.
• Proficient in Azure DevOps for implementing CI/CD pipelines and managing code repositories.
• Proficient in performance optimization techniques for Databricks and Azure SQL (e.g., partitioning, indexing, caching).
• Knowledge of cost optimization strategies for Azure resources, ensuring efficient use of cloud services.
• Demonstrated experience leading and mentoring data engineering teams.
• Good communication skills to articulate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Interested candidates can click apply for more information.

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

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultants.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012.

Rallonza Bernice Mae Nocum | EA License No. 02C3423 Personnel | Registration No. R1442141

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Founded in 2019 in Singapore, the Recoded Studio is stimulated to develop unique games that embrace beauty and simplicity. We are dedicated to creating long-term value for not only our players, but also our fellow team members.

We achieve this by encouraging individuality and teamwork so that each team member can take ownership in their own expertise while collaborating as a group to pursue a shared ideal of constructing the befitting environment that brings out wonderful game experiences to our players.

Our studio is currently looking for a Game Data Engineer to join our multi-talented team. The role will be responsible for designing, building, and maintaining the data pipelines, infrastructure, and tools that enable the analysis and optimization of player experiences, monetization strategies, and game performance. The Game Data Engineer will report to the Marketing Manager and work closely with other stakeholders (e.g. Game Designers, Server team etc.) to transform raw game data into actionable insights that drive business and game development decisions.

RESPONSIBILITIES:

Data Pipeline Development

• Design, develop, and maintain scalable, efficient, and reliable pipelines to process large volumes of game and player data.
• Optimize data processing workflows to ensure high performance and low latency for real-time data needs.

Database and Infrastructure Management

• Develop and manage databases to store and organize game and user data effectively.
• Implement robust data warehousing solutions to facilitate easy access to aggregated data.
• Ensure high availability and reliability of data systems.

Collaboration and Integration

• Work closely with the Marketing Manager, Game Designers and Server team to understand data requirements and deliver tailored solutions.
• Collaborate with respective teams to ensure seamless integration of data pipelines with gaming backends and other systems.

Data Quality and Governance

• Implement data validation and quality assurance processes to ensure the accuracy and consistency of data.
• Develop and enforce data governance policies to maintain compliance with data privacy regulations.

Performance Monitoring and Optimization

• Monitor data systems and pipelines for performance and troubleshoot issues proactively.
• Continuously refine and optimize processes to improve efficiency and scalability.

Exploration and Innovation

• Explore emerging technologies and best practices in data engineering and gaming analytics.
• Develop proof-of-concepts to experiment with new tools and frameworks that enhance the data infrastructure.

QUALIFICATIONS:

• Familiarity with MMP (otherwise willing to take initiative and learn from documentations on MMP sites)
• Bachelor's degree in a quantitative-related field such as Mathematics, Statistics, Economics, Computer Science etc.
• 2+ years of experience in data engineering or analysis roles, preferably in the gaming industry.
• Strong proficiency in SQL, data visualisation tools (such as Tableau or Power BI), and Excel.
• Strong problem-solving and analytical skills, with attention to detail.
• Excellent communication and presentation skills, with the ability to effectively communicate complex data insights to non-technical stakeholders.
• Ability to work collaboratively in a fast-paced and iterative development environment.
• Experience with statistical analysis and machine learning techniques.
• Passion for games and a deep understanding of game mechanics and player behaviour is a plus.

If you are a driven and analytical individual with a passion for games and a desire to make an impact in the gaming industry, we would love to hear from you!

How to apply?

Candidates can apply directly to Recoded on the MyCareersFuture platform. Please include your updated resume.

Applications will be treated in the strictest confidence, where all personal data collected will be kept confidential and only used for recruitment purposes.

Thank you for your interest & time in applying to Recoded! We apologise that only shortlisted candidates will be contacted.

Create unit tests throughout the data and algorithms domain:

 Work with engineering and business teams to implement wide-coverage unit tests

of data and engineered features at different stages throughout the data collection

and processing pipeline;

 Create unit tests of inputs to and outputs from the algorithms that drive the clinical

service;

 The unit tests include validation of the inputs and outputs of black-box machine

learning algorithms;

 Establish a regular process to execute the tests and document their outcomes as

a part of our product development and release lifecycle;

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs

and outputs:

 Implement a process of taking snapshots of data/features input into algorithms

necessary to recreate their outputs/predictions at any point in the past during the

service;

 Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

 Support the business and analytics teams in their daily and weekly delivery of

reports on data completion, user engagement, and algorithm actions by

addressing any data quality and validation requirements;

REQUIREMENTS

a) Bachelor's degree in computer science, engineering, business analytics, technology, or a

related field.

b) Minimum of 2 years of experience in data engineering, data analytics, or data product

management roles within the tech industry. Experience in healthcare is a plus.

c) Ability to implement tests in Python.

d) Good understanding of the validation requirements of an algorithmic product. Knowledge of

healthcare regulation and auditing requirements is a plus.

About GSK

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together. Our success absolutely depends on our people. We want GSK to be a place where people feel inspired, encouraged, and challenged to be the best they can be. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

About the Role

As the Head of Data Strategy & Management, you will play a critical leadership role in driving the digital and data strategic direction, operational excellence, and innovation initiatives within the Asia Development organization. You will lead a team responsible for overseeing the collection, integration, and analysis of clinical trial data while championing the adoption of cutting-edge technologies and bringing innovation to data management practices. Your efforts will transform business processes and upgrade digital fluency, including AI/ML, across Asia Development to accelerate simultaneous development and disruption.

Key Responsibilities:

The incumbent is accountable for providing strategic vision and leadership for Clinical Data Management, AI/ML, and R&D Tech functions, with responsibilities including but not limited to:

• Develop and execute a roadmap for data management and digital transformation initiatives.
• Ensure efficient and high-quality execution of clinical data management activities.
• Oversee the development and implementation of data management processes, SOPs, and best practices.
• Lead and manage a team of data scientists, technical experts, and digital transformation leads.
• Oversee end-to-end management of clinical trial data.
• Spearhead efforts to identify, evaluate, and implement innovative digital technologies.
• Collaborate closely with key stakeholders to ensure seamless integration of data management and digital transformation activities.
• Ensure compliance with regulatory guidelines, industry standards, data privacy regulations, and AI governance.
• Drive third-party strategy and oversee relationships with external vendors and CROs.
• Collaborate with biostatisticians to support data analysis and reporting activities.
• Foster a data-driven and digital culture of continuous improvement within the function.
• Stay actively engaged with industry forums, conferences, and working groups related to clinical data management and digital transformation.

Why you?

To be successful in the role, you need to have expert knowledge of clinical data management practices, regulatory requirements, and industry standards, and general understanding of digital applications and the role of AI/ML technology in data sciences.

You also need to have:

• Advanced degree in Life Sciences, Statistics, Computer Science, Biostatistics, Data Management, Business or MBA
• Min 15 years of experience in clinical data management or business transformation
• Min 10 years of management experience.
• Experience in clinical development, end-to-end data flow, risk-based quality management, and submission requirements.
• Strong leadership skills and project management experience.
• Strong expertise in clinical data management systems, business & digital transformation, and foundational knowledge in Decentralized Clinical Trials (DCT) approaches.
• In-depth understanding of emerging technologies and trends in clinical data management.
• Excellent communication and influencing skills in English.
• Strong business acumen and strategic thinking abilities.
• Proven ability to navigate complex projects and priorities.
• Strong problem-solving skills and attention to detail.
• Experience in vendor management and contract negotiations preferred.
• Experience in multicultural settings preferred.
• Experience in the utilization or exploration of AI/ML for R&D preferred.
• TA experience (oncology, respiratory, vaccine, immunology, infectious disease) preferred.

Why join us?

At GSK, we challenge ourselves to get Ahead Together – to make a positive impact on global health; for growth; in an environment where people can thrive. Our culture inspires our performance.

By joining GSK, you’ll enjoy:

• A flexible and life-friendly working approach, allowing you to do your best work
• Being in a diverse organisation that reflects the communities that we work within
• Development and progression at a global scale, with international opportunities
• 5 Feel Good Days and 1 volunteer day (on top of your annual leave)
• Option to purchase up to 4 weeks’ additional leave per year
• Access to discounted health insurance

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg.

We are seeking a Data Engineer to join our team.

You will be part of a data team deployed at a government agency identified as a strategic partner for GovTech, building out data products critical to WOG’s ops and service delivery as identified under the Digital Government Blueprint (DGB2.0) programme. You would operate in close alignment to Data and AI Practice's approach and philosophy, and would be closely supported by central GovTech products and platforms teams. This role requires an individual with experience in cloud-based data engineering work, as well as good communication skills, as you will be expected to interact frequently with the partner agency's users to elicit useful business information that enables you to perform your job.

What you will be working on:

• Translate data requirements from business users into technical specifications.
• Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.
• Build out data product as part of a data team:
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases\
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform.

Preferred requirements:

• Experience in designing, building, and maintaining batch and real-time data pipelines.
• Experience with Databricks.
• Experience with implementing technical processes to enforce data security, data quality, and data governance.
• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programmes.

We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.

Learn more about life inside GovTech at go.gov.sg/GovTechCareers.

Stay connected with us on social media at go.gov.sg/ConnectWithGovTech.

Job Description & Requirements

We are seeking a Senior Data Engineer with 10+ years of experience in software development and expertise in Big Data technologies. The ideal candidate will work on designing, developing, and maintaining scalable data pipelines and analytics platforms to meet diverse business requirements.

Responsibilities:

• Build and optimize large-scale data pipelines using Hadoop, Spark (Core, SQL,Streaming), and PySpark.
• Manage and process structured and semi-structured data using Hive, Sqoop, Impala, and Kudu.
• Develop and implement streaming data solutions with Apache Kafka.
• Collaborate with cross-functional teams to understand technical requirements and implement data-driven solutions.
• Perform data validation, quality checks, and recon reports to ensure high data accuracy.
• Work on AWS services (S3, Glue, Athena) for cloud-based data workflows and analytics.
• Translate legacy systems to open-source frameworks, leveraging technologies like Python and SQL.
• Optimize performance and scalability for data processing and storage systems.
• Utilize Java/J2EE, Hibernate, and Struts frameworks for backend application development.
• Provide mentorship to team members and support in troubleshooting and debugging complex data issues.

Requirements:

• Proficiency in Big Data ecosystems, Spark, Hadoop, and related technologies.
• Strong experience with PySpark, data transformation, and aggregation techniques.
• Hands-on with AWS services and cloud-native data pipelines.
• Solid understanding of SQL, RDBMS, and data integration tools.
• Expertise in Java/J2EE frameworks and application development.
• Strong communication and problem-solving skills.

We are looking to speak to Data Engineers with experience in the Crypto Industry!

You will design and deploy resilient data infrastructure that converts raw data into valuable insights. Your role will involve creating scalable data pipelines and models that support key decision-making across the organization. Your expertise will be essential in establishing data governance practices and ensuring the integrity, accessibility, and dependability of data across our systems.

Responsibilities

• Design & Build: Develop and maintain scalable data pipelines, efficient ETL processes, and robust data warehousing solutions to manage complex data needs.
• Optimize & Scale: Enhance data infrastructure performance, implement data quality protocols, and create automated monitoring systems for proactive issue detection.
• Empower & Enable: Collaborate with product, engineering, and go-to-market teams to deliver data-driven solutions that provide actionable strategic insights.
• Rapid Response: Respond swiftly to time-sensitive data requests and ad-hoc queries, delivering critical analyses and data solutions with urgency while ensuring precision and reliability.

Requirements

• Experience: Over 7 years of hands-on data engineering expertise.
• Data Architecture: Extensive experience in data modeling, data warehouse design, and implementing ETL best practices.
• Technical Mastery: Advanced proficiency with modern data stack technologies, including Snowflake, Airflow, DBT, and AWS.
• Systems Thinking: Strong background in distributed systems, data streaming technologies (Kafka, Kinesis), and optimizing large-scale data workflows.
• Agility: Demonstrated ability to quickly address urgent data requests and deliver timely solutions to critical business needs.

"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.

Website: www.sanderson-ikas.sg

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

RESPONSIBILITIES

Strategy

• Formulate the vision that will take the Bank’s current DA custody offering into its next iteration of services.
• Influence wider Business stakeholders on the vision that will build the ‘moat’ for the Bank’s future success and profitability.
• Collaborate closely with Technology to foresee opportunities and overcome hurdles prior to implementation with the goal of “Getting it right the first time”.
• Identify opportunities that connect services demanded from Institutional clients to the Bank’s current and upcoming service offering.

Business

• Corroborate with stakeholders to achieve client acquisition targets.
• Communicate successes and challenges throughout the lifecycle of projects to stakeholders.

Processes

• Curate and implement the next operating model for token operations.
• Develop the operating model for Decentralized Finance (DeFi) operations.
• Rollout sandboxing AI/ML technology in developing smarter tools for:
• Scaling token operation processes
• Automating analysis and reporting
• Client services

People & Talent

• Consulting attitude with engineering skillset
• Is results driven and has a positive attitude
• Effective team player and collaborator
• Strong personal integrity
• Strong written and verbal communication skills
• Can effectively communicate business and technical information across the organization, being sensitive to the needs of unique audiences
• Crypto-native understanding of the DA space, preferrable.

Risk Management

• Ensure adherence to risk management framework

Governance

• Aligning with new Ways of Working Management Standards (nWOWS)
• Oversee & track implementation timelines, resolve impediments / blockers, ensure change communication & transition
• Very good understanding of change management and project management
• Keeping project team well informed of the design and execution dependencies within the programme and outside the programme
• Identify, analyse, prepare risk mitigation tactics and manage anticipated resistances

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• Group Functions Heads and Process Owners
• Business Unit Heads
• Country stakeholders
• GBS stakeholders
• Technology Teams
• Programme Management Teams

Our Ideal Candidate

• A bachelor’s degree in any discipline
• Experience working in security houses or crypto exchanges
• Familiarity with bank platform or processes
• Strong project management experience will be highly valued

Role Specific Technical Competencies

• Strategic Planning
• Digital Assets
• Data Engineering & Analytics
• Process Automation
• Target Operating Model Design
• Financial Markets Tech Platforms

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,000 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data scientist to join us in our cause of helping customer Stay Modern, ahead of the technology curve!

Roles and Responsibilities

• Conducting advanced statistical analyses on large datasets to extract meaningful insights and trends.
• Developing and implementing machine learning models to solve business problems and improve decision-making processes.
• Collaborating with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Presenting findings and recommendations to senior stakeholders in a clear and concise manner.
• Work on projects and initiatives related to data analysis and machine learning.

Qualifications:

• Bachelor's degree or higher in a quantitative discipline such as statistics, mathematics, data analytics, or related fields.
• Minimum of 1-2 years of applied experience with machine learning on large datasets.
• Strong proficiency in statistical software (e.g., Python, R, Scala), database languages (e.g., SQL), visualization tools (e.g., Tableau, Qlik Sense), big data technologies (e.g., Spark, Hadoop, Hive), and deep learning frameworks (e.g., TensorFlow).
• Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Proven leadership skills and experience in managing senior stakeholders.

Job Description:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Requirements:

• Minimum total three years’ work experience as Data Scientist.

Job Description:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Requirements:

• Minimum total seven years’ work experience as Data Scientist.

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Coordinator to join our Singapore team.

Globally, with greater emphasis on personal data protection and integrity of clinical data, the Data Coordinator plays an important role and contributes to the success of clinical trials. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.

Responsibilities

• Track case report forms;
• Clean and update the clinical database, which includes generating and resolving data clarifications;
• Reconcile clinical data
• Maintain study documentation
• Perform QC audits of the clinical database

Qualifications

• Bachelor's degree in a health related field with strong attention to detail and working knowledge of Excel and Word
• 1-2 years of experience in a pharmaceutical or CRO setting preferred
• Knowledge of medical terminology is preferred; and
• Office hours, 9:30am to 6:30pm to be worked over 5 days between Monday to Saturday (Saturdays being rotational). Able to work on rotational public holidays.

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

Our Team:

Our Foreign Exchange (FX) data team is seeking a Senior Data Analyst to integrate end user’s needs into our overall data strategy and drive product quality. FX is primarily a pricing product, seeking to provide transparency into 180+ OTC markets and 65,000 unique pricing streams. As a team, we are responsible for managing FX quotes to reflect prevailing market price levels and provide users with an accurate and reliable source of truth for their use cases. Our product offering includes calculators, analytics and benchmark fixings for use in the Bloomberg Terminal and Enterprise products. We engage with the FX community to explore and validate new ideas. Multi-functional collaboration, deep domain knowledge, thoughtful automation, and data management expertise are paramount for our ability to continuously deliver high quality data to our rapidly growing client base.

What’s the Role?

We are looking for a highly motivated individual with a passion for finance, data, and technology to enhance value from our data products. As a Senior Data Analyst on the Foreign Exchange Data team, you will play a key role in expanding Bloomberg's foreign exchange databases to further deliver an industry-leading data product offering. You will collaborate closely with global team members, domain experts, and business partners, managing priorities of different initiatives and using industry knowledge to help drive decisions and generate new dataset offerings. You will work to identify innovative workflow efficiencies and implement technical solutions to enhance our systems, products and processes. You will bring a unique combination of subject-matter-expertise in Foreign Exchange, good interpersonal skills, and a passion for problem solving to address our clients’ needs.

We’ll Trust You To:

• Build subject matter expertise to create stronger relationships with clients while improving our data’s fit for purpose & discoverability.
• Collaborate with a wide variety of partners from Engineering to Sales on product development and implementation
• Research new data sets to expand the coverage of our products
• Implement quality control strategies including development of quality control rules
• Contribute to the creation of best practices and guidelines for data governance
• Balance the best of technical and product knowledge to implement solutions for customers
• Proactively support customers by helping them interpret data and predicting their follow-up questions/needs
• Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement technology solutions to enhance our processes/overall product strategy

You’ll Need to Have:

• Bachelor’s degree in Finance, Accounting, Statistics, Business, STEM, or related field/equivalent experience
• Demonstrated continuous career growth within an organisation
• Strong presentation and communication skills in English
• 4+ years of relevant work experience in the financial services industry, including exchanges, market data providers or financial institutions
• Proven customer service skills
• Experience working with data management paradigms and associated tools and technologies, such as the management, governance or quality assurance of data
• Experience taking a logical approach and applying critical thinking skills in order to tackle problems
• Experience working with a high degree of autonomy, handling priorities from multiple internal and external partners
• Ability to adapt within a fast-paced and dynamic environment

We’d Love to See:

• Bachelor’s and/or Master’s degree in relevant field and/or CFA designation (or working towards it)
• Knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel as well as experience with SQL or Python
• Experience using data visualization tools such as QlikSense and PowerBI
• Good understanding of our user’s workflows and data needs to ensure our offering is fit-for-purpose

If this sounds like you:

Apply if you think we're a good match, and we'll get in touch to let you know what the next steps are!

Job Purpose

• Owns the technology relationships up to CxO level & supports technology thought leadership.
• Being a member of the Architecture Committee to facilitate AC meetings with internal and external technical stakeholders and SMEs.
• Continuously improve the architecture of Data Analytics Platform.
• Drives research, case studies, and prototypes on leading-edge technologies and how they can be leveraged.
• Develops proof of concepts (POC’s) to evaluate new technologies and makes recommendations.
• Develops, enhances and enforces the company's system standards, best practices and guidelines.
• Designs and/or Proposes enhancements to improve the performance, availability and reliability of the cloud computing environment for Data Analytics Platform.
• Continuously monitor and improve Data Governance Process.
• Also improve the quality of the Data Analytics service from business users’ perspective.

Primary Job Description

• Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
• Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
• Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
• Proactively understand the demand from business users and factor them into the architecture enhancement plans.
• Monitor the system performance of the Data Analytics Platform to always meet the service levels.
• Keep the Data Analytics Platform stable and maximize the availability.
• Manage the Processes and Guidelines on Data Governance.

Position Qualifications and Experiences

Experience Requirements:

• Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.

Technical Skills:

• Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
• Architect level technical knowledge of Looker and other BI Tools
• Administrator level knowledge of Collibra or other Data Governance Tool
• Proficiency in Python / Javascript.

Soft Skills:

• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

Job responsiblities:

• Manage check-in/check-out documentation of workers dormitory and maintain accurate nominal rolls for workers.
• Conduct hygiene inspections at the dormitory to ensure compliance with the Ministry of Manpower (MOM) regulations.
• Track and document maintenance issues, updating defect records and ensuring timely follow-up on repair requests.
• Perform clerical tasks related to purchase orders, including processing, filing, and updating records.
• Assist with tracking the status of orders and ensure accurate record-keeping.
• Maintain records for factory materials and supplies, performing regular stocktake (e.g., gloves, tools). Track inventory levels and notify relevant departments of low stock or replenishment needs.
• Provide support for any additional administrative tasks as required, including filing, data entry, document preparation, and report generation.

Qualifications:

• High school diploma or equivalent.
• Prior experience in an administrative or clerical role preferred.
• Proficient in Microsoft Office Suite (Word, Excel, Outlook).
• Strong organizational and time-management abilities.
• Excellent communication skills for coordinating with team members and external contacts.
• Attention to detail with the ability to manage multiple tasks efficiently.

WhatsApp: +65 90820021 (Kyler)

Email: [email protected]

Monday to Friday | 9am to 6pm

Basic Salary: $2500 - $2800 +AWS+PB

Address: Clementi

Requirement

• Diploma in a relevant discipline
• At least 1 year of relevant Finance/accounting experience

Responsibilities

• Obtaining information from donors / team members, data entry of donor particulars, and issuance of tax deduction receipts / thank you letters to donors.
• Reconciliation of bank statements, petty cash balance and stock of groceries / vouchers
• Preparation of payment vouchers and other finance-related matters
• Maintaining proper filing of finance and admin records to facilitate year-end audit process
• General office admin work such as facilities management (e.g. follow-up with air-con servicing and pest control vendors), office supplies (e.g. stock-take and ordering new supplies)
• Other duties as assigned by the Finance Manager or CEO

The Supreme HR Advisory Pte. Ltd | 14C7279

Gan Kai Le | R23112683

• Working Days: 5.5 days
• Working Timing: Mon - Fri: 0800-1700, Sat:0800 - 1200
• Salary:$2000 – $2500
• Location: Changi

Responsibilities:

• Invoice issuance & verification
• Data Entry
• Calculate & record payments
• Updating accounting records
• General admin duties as assigned

Requirement:

• Min 1 year relevant experience

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Billing Clerk

Working Days: 5.5 days
Working Timing: Mon - Fri: 0800-1700, Sat:0800 - 1200
Salary:$2000 – $2500
Location: Changi Airfreight Centre

Responsibilities:

• Invoice issuance & verification
• Data Entry
• Calculate & record payments
• Updating accounting records
• General admin duties as assigned

Requirement:

• Min 1 year relevant experience

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279