Roles and Responsibilities:

• Lead the complete lifecycle of data exchange projects, ensuring thorough planning, execution, and ongoing maintenance
• Define project parameters, goals, and expected results in partnership with stakeholders
• Develop and oversee detailed project schedules, budget estimates, and progress benchmarks
• Ensure efficient allocation and coordination of project resources, tasks, and activities to meet deadlines
• Proactively address and strategize against potential risks and obstacles to keep project momentum
• Apply expertise in data exchange technologies such as web services, RESTful APIs, XML, JSON to enhance process efficiencies
• Implement strategies for data mapping, transformation, and validation to ensure the integrity and accuracy of data
• Serve as the main contact for project stakeholders, offering updates and solutions to maintain project alignment and satisfaction
• Facilitate clear and effective communication, organizing stakeholder meetings and workshops to align project goals and requirements
• Leverage sector-specific knowledge, especially in manufacturing, to adapt data exchange solutions that align with business needs and goals
• Fulfill all other duties as assigned by management

Requirements:

• Bachelor’s degree or higher in IT, Computer Science, Engineering, or a related field
• Minimum 3 years of IT project management experience, emphasizing data exchange and integration, with a preference for manufacturing sector experience
• Proficiency in web services, RESTful APIs, XML, JSON, and related data formats
• Experience with integration platforms, middleware, and ETL tools
• Strong communication, collaboration, and stakeholder management abilities

Interested applicants, please Email , and look for

Jensen Fang Lifa

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

Key Highlights

• Great exposure to the government sector
• Nearest MRT: Labrador Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,450 per month
• Contract Duration: 11 months

Key Responsibilities

Data Analytics

• Process raw data using basic Excel formulas and pivot tables.
• Organize and present data visually for analysis.

Tableau Dashboard Management

• Update and refresh existing Tableau dashboards.

Data Projects Support

• Prepare survey forms and consolidate survey data from various sources.
• Clean and organize data for analysis.

Program Operations Support

• Coordinate with stakeholders to ensure timely updates.
• Maintain CRM accuracy and compile data for documentation.
• Organize distribution of materials and logistics for community hubs across Singapore.

Key Requirements

• Only Singaporean!
• Bachelor's degree in Data Analytics, Business Administration, Information Technology, or a related field
• Strong knowledge of basic and intermediate Excel functions (e.g., formulas, pivot tables) to handle data.
• Familiarity with Tableau dashboard development, updating features, and performing data refreshes.
• 1 year of experience in data analytics, program coordination, or a related field is preferred.

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

We are partnering with a leading consulting firm seeking a skilled Data Architect with expertise in Azure and Databricks to design and implement advanced data solutions. In this role, you will collaborate with clients in the insurance sector, helping them optimize data strategies and drive business innovation.

Responsibilities:

• Design, implement, and maintain scalable and secure data platforms using Azure technologies.
• Develop and optimize data engineering pipelines using Databricks for analytics and reporting.
• Collaborate with clients to understand their business needs and translate them into tailored data solutions.
• Implement data governance and compliance frameworks to ensure data quality and regulatory adherence.
• Provide guidance on data architecture best practices to enable performance and scalability.

Qualifications:

• Strong hands-on experience with Azure Data Services (e.g., Data Factory, Synapse Analytics).
• Proficiency in Databricks and modern data engineering practices.
• Prior experience in data architecture within the insurance industry or related fields is advantageous.
• Excellent communication and problem-solving skills to collaborate effectively with diverse teams.

EA: 14S7084 | Registration No:R1981018

Senior Data Scientist

In view of business expansion, our client is seeking a Senior Data Scientist based in Singapore. The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals.

The Responsibilities:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
• Responsible for explores information from multiple diverse sources, analyzing data and gain insights into business intelligence that is actionable
• Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Deploy ML models into production (either alone or working with data engineers if necessary)

The Requirements

• Degree in Computer Science, Computer Engineering or a related field
• Over 5 years expertise in Data Science
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Familiar with deploying Data projects into cloud (e.g Azure, AWS, GCP)
• Team player with good interpersonal and problem solving skills.

Office Location: West

Kindly indicate your current/last salary details and also your notice period

Interested candidates kindly forward your CV to [email protected] (Dorothy Ma Li, Reg No: R1769176). Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

We are looking for Data Analyst/Engineer to join a fast growing IT company!

• Exciting opportunity to work with a team of professional to deliver high quality applications
• Permanent position, positive working environment
• Salary up to $7,000 + AWS + bonus

Responsibilities:

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems
• Design and develop data pipelines/systems for data modelling, mining and production
• Ensure the data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business
• Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive modelling
• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency
• Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve
• PL/SQL and SQL Tuning and optimization of newly develop and existing applications

Requirements:

• At least 3 years' working experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions.
• Working experience in Kubernetes-based DevOps practices such as container orchestration, CI/CD pipelines, and microservices deployment.
• Working experience in database development (Oracle SQL/PLSQL) and familiar with AWS cloud environment

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Liew Chien Hui (Vivian) - R2090138
ScienTec Consulting Pte Ltd – 11C5781

We are seeking a skilled and motivated Data Engineer

With expertise in Scala, SQL, and Hadoop, to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and systems to process large datasets. You will collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities

1. Data Pipeline Development

• Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.
• Implement ETL processes for ingesting, transforming, and storing data from various sources.

2. Data Analysis and Query Optimization

• Write and optimize complex SQL queries for efficient data retrieval and transformation.
• Troubleshoot and resolve performance issues in queries and data workflows.

3. Big Data Ecosystem Management

• Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.
• Monitor system performance and optimize resource utilization in a distributed environment.

4. Collaboration and Problem-Solving

• Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.
• Provide technical guidance and best practices for data engineering within the team.

5. Automation and Monitoring

• Develop scripts and tools to automate repetitive tasks and enhance system monitoring.
• Ensure data quality and consistency through validation and monitoring mechanisms.

6. Documentation and Compliance

• Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.
• Ensure compliance with data governance and security policies.

Requirement/Skillsets:

Technical Skills:

• Proficiency in Scala programming and functional programming principles.
• Strong SQL skills, including query optimization and database design.
• Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).
• Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

Problem-Solving:

• Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

Communication:

• Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.

Experience:

• 6+ years of experience in data engineering, big data technologies, or a similar role

EA License: R1873481

Company EA License: 11C4879

Job Highlights

Salary: $3450 per month

Contract Duration: 11 months

Working Location: Nearest to Labrador Park MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

• Support the ongoing refreshments and improvements of training centres.
• Conduct regular checks of community hubs’ setup such as reporting on safety compliance, standardized set up, etc.
• Assist in coordinating hardware maintenance services for community hubs as required.
• Source goods and facilities management (FM) services for community hubs, such as furniture, maintenance services, etc.
• Coordinate and liaise with contractors to ensure timely delivery of goods and FM services
• Conduct regular checks on assets and collaterals, ensuring accuracy of records and proper maintenance.
• Maintain and update procurement, asset and collaterals records
• Maintain and update FM and logistics documentation

Job Requirements

• Only Singaporean need to apply.
• Degree in any relevant field
• Prior experience in Project Management is a plus!

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

We are looking for a highly motivated Research Assistant to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on integrating high-dimensional topological structures with advanced simplicial neural networks, and applying these methods to real-world data from dynamical systems.

Key Responsibilities:

• Contribute to the development and implementation of topological data analysis techniques such as simplicial neural networks, with application in real data sets from dynamical systems
• Perform data preprocessing, feature extraction, and analysis on large datasets
• Preparation of research papers, reports, and presentations to disseminate findings
• Participate in regular team meetings and contribute to the overall progress of the project

Job Requirements:

• A Bachelor’s degree in applied mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data
• Experience with biomolecular data, particularly protein, DNA, and RNA data, knowledge of structural biology and protein modeling preferred
• Proficiency in programming languages such as Python, R, or similar
• Excellent analytical and problem-solving skills
• Ability to work both independently and collaboratively in a team
• Previous research experience and publication record in a related field preferred

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

Within the family there is a range of technical and managerial customer on-site functions. The family of jobs is focused on managing the onsite delivering of software services, pre-sales, post-sales or service delivery support, installation and configuration for customer environments. The jobs solve various business systems, networking and applications problems for standard industry servers, specialized or complex clustered environments. Deliver reactive and proactive activities according to Service Level Agreement to ensure customer satisfaction and loyalty. Provides direct post-sales systems on site technical support for reactive and proactive customers. Each position maintains a high level of customer satisfaction by ensuring clear business and technical solution alignment, clarifying customer needs and ensuring that they are met. Jobs are responsible for company Total Customer Experience as well as the revenue growth, profitability, and account retention.

Management Level Definition:

Unique mastery and recognized authority on relevant subject matter knowledge including technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in the most complex disciplines, in which the company must operate to be successful. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.

Responsibilities:

• Apply deep and broad technical background and knowledge of industry trends to operate critical or high-risk technology areas/customer groups.
• Integrate technical knowledge and business understanding to create solutions for customers.
• Mentor/consult with team members, other organizations, customers, and vendors on the most complex issues.
• Resolve technical and business incidents independently. Mentor/assist less-experienced team members on complex incidents
• Provide expert consulting on a specific technology, application, service offering or market segment.
• Deliver strategic account support through proactively maintaining high-level technical, operational expertise and understanding of industry trends.
• Anticipate, understand, and position the perception of system problems and deliver service needs at different management and functional levels.
• Lead Mission Critical delivery team in planning, delivering, and managing complex support Design, deliver, and manage delivery of industry specific solutions.
• Maintain high-level expertise in area of focus and stay abreast of future technology directions
• Create and deliver Value Based Delivery (VBD) plans for assigned accounts.
• Lead Customer Expectation management as part of escalation process.
• Consult with executive customer management to achieve IT operations excellence.
• Contribute to tasks outside normal Mission Critical Support Specialist/Mission Critical account support or geographic (district or country) scope.
• Analyze the customer's business, organization, and information systems needs.
• Develop and grow assigned customer account relationships with complex and strategic accounts.
• Act as trusted advisor in the consultant role for customer and the company's sales teams.
• Anticipate, understand, and position the perception of system problems and deliver service needs at different management and functional levels.
• Lead Mission Critical delivery team in planning, delivering, and managing complex support Design, deliver, and manage delivery of industry specific solutions.
• Maintain high-level expertise in area of focus and stay abreast of future technology directions.
• Create and deliver Value Based Delivery (VBD) plans for assigned accounts.
• Lead Customer Expectation management as part of escalation process.
• Consult with executive customer management to achieve IT operations excellence.
• Contribute to tasks outside normal Mission Critical Support Specialist/Mission Critical account support or geographic (district or country) scope.

Education and Experience Required:

• Bachelor's degree preferred or Associate degree holder (technical field) with 8+years working experience in related fields desired.

Knowledge and Skills:

• In-depth knowledge of company and industry standard networked computing environments, operating systems, and applications.
• Broad knowledge of corporate policies, products, markets and processes, as well as an understanding of business management principles and practices.
• Thorough knowledge of company products and services offerings, company organization, competition, third party products and market trends.
• State-of-the-art technical, functional or business knowledge.
• Expert in one or more industry or advanced specialty areas.
• Anticipate Customer needs, develop proposed solutions, and build consensus with customer key decision makers.
• Capable of consulting with Customers for process design, development and implementation.
• Thorough understanding of change management process and procedures.
• Expert skills in project management, analysis, communication, presentation, innovation and negotiation .
• Delivery expertise in at least two or more specific specialty skills. Eg. (ITIL, performance, Change management).
• Mission Critical and ITIL certifications.
• Certified in a strategic business direction (e.g. SAN, SAP, OpenView, ITIL), certification tied to the company's key business strategies with associated revenue.

We are seeking a skilled Data Engineer to join our analytics team. The ideal candidate will design, build, and optimize data pipelines and architectures to support business needs, enabling efficient data analysis and decision-making.

• Working Hours: Mon-Fri
• Working Location: Central
• Salary Package: Up to $7k with AWS + VB

Responsibilities:

• Build and maintain data architectures, including databases, data warehouses, and large-scale processing systems.
• Design and implement data pipelines for modelling, mining, and production use.
• Ensure data architecture supports analytics and business requirements.
• Use programming tools to clean and prepare raw data for modelling.
• Improve data quality, reliability, and efficiency.
• Organize and catalog data for easy access and retrieval.
• Optimize SQL/PLSQL scripts and database performance.

Requirements:

• Minimum 3 years of experience in data architecture, data warehousing, ETL/ELT, and real-time streaming solutions.
• Proficiency in Kubernetes-based DevOps, container orchestration, CI/CD pipelines, and microservices deployment.
• Hands-on experience with Oracle SQL/PLSQL and AWS solutions like EC2, S3, EMR, Redshift, Athena, and Kinesis.
• Strong skills in Python, R, or SQL for data processing and aggregation.
• Familiarity with tools like Java, Hadoop, Apache Spark, Airflow, or Hive.
• Experience with data crawling, modelling, data lakes, and warehouse construction.
• Basic knowledge of Oracle database architecture.
• Knowledge of deploying machine learning models is a plus.

Join us to work on exciting projects and shape the future of data-driven solutions!

Apply now!

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data not required at this application stage.
• To withdraw consent, email [email protected].

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

Position Summary / Project Description

Data Engineer for cloud migration projects (Primarily utilizing AWS, IDMC, Databricks and Tableau)

Role and Responsibilities

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 4 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications, Databricks certifications, and Informatica certifications are a plus.

Context:

• Data Solutions for Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

Job Description:

• Contribute to IT initiatives for Antaes Asia clients.
• Delivery of comprehensive business analysis to provide solutions for business needs.
• Work with the project team including product owner, senior developers, architects, BA’s to deliver business requirements and improve business processes and systems.
• Work closely with stakeholders to define requirement and various artifacts around application development or enhancement.
• Specification of business rules for regulatory reporting, business operations and transformations.
• Functional design and testing of solutions.
• Maintenance and promotion of best practices around the data dictionary of the bank.
• Interaction with developers to define implementation specs
• Interaction with other IT teams to explain and communicate on Data services
• Assisting with the daily operations through Scrum, Jira and Kanban, techniques.
• Contribute to the promotion of Antaes services on top of assistance provided to clients.

Job Requirements:

• At least Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related Finance fields.
• At least 2 years of relevant experience (Data Solutions)
• Strong communication to bring consensus on requirements.
• Functional knowledge of financial products, capital market processes & regulatory reporting.
• Knowledge on the MIFID2/SFTR/EMIR / any APAC transaction regulatory reporting principles is desirable.
• Strong problem-solving skills with ability to think out of box.
• Excellent communications and proven documentation capabilities.
• Skilled in Data analysis using database queries (SQL/Oracle/Sybase), TSQL.

Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Technicians to join their expanding team!

Location: Lakeside / Admiralty

Working hours: Monday to Friday, Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Be involved in new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma in Building / Facility Management or any other related field
• Some relevant experience in Data Centre facility management and vendor management is a good bonus
• Good knowledge in building technology, mechanical and electrical services and facilities management

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning ventilation system solution serving high tech industry

Job Scope:

• Plan and manage HVAC projects for data centers.
• Lead project meetings and collaborate with clients, consultants, subcontractors, and internal teams.
• Review project specs, drawings, and contracts for compliance.
• Monitor site progress and address any technical or operational issues.
• Prepare schedules, reports, and project documentation.
• Oversee procurement of materials and equipment.
• Ensure workplace safety, quality, and regulatory compliance.
• Conduct site inspections and guide the project team.

Requirements:

• Degree in Mechanical Engineering or a related field.
• Minimum 5 years of experience in ACMV/HVAC or related M&E projects.
• Familiarity with HVAC systems for data centers.
• Strong project management skills.

Work location :Paya Labar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

For better response, pls apply via job page

https://recruitmentalliance.zohorecruit.com/jobs/Careers

click job opening, click relevant position

We regret that only shortlisted candidates will be notified

• Preparing business and sales reports for the team and management
• Data Management using excel, power BI
• SAP and other price system operations
• Assist in the Business planning and consolidation activities
• Perform numerical analyses for management and team as and when required assist in other ad-hoc analytics projects

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

5 days, 9am-6pm, permanent, Eunos

Our client

Data Centre Builder

Job Scope

· To Perform onsite maintenance and servicing of Computer Room Air Conditioning/HVAC

·

· To troubleshoot, repair, service of computer room aircon /HVAC

· To Install, commissioning and testing of aircon System.

REQUIREMENT

· Min Nitec Diploma in Aircon/ Mechanical Engineering

· 2 years hands on experience to troubleshoot and repair of Computer Room aircon

· Able to perform rotating 24/7 on call standby (Extra allowance will be given) on 1st half or 2nd half of the month

· Singapore Class 2 or Class 3 licence.

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

Responsibilities :

• Understands the commercial cost/financial/budget impact of decisions to be taken, for any products/solutions to be developed, considering the overall impact to a customer proposal and recommending the appropriate solutions

• Participate in deep architectural discussions to ensure solutions are designed for successful deployment.

• Design of solution offerings including services, support, training (classroom, roundtables, webinars). Detail definition of Solution Components, Scope of Work, Deliverables, Effort Sizing and Pricing.

• Implementation planning and delivery for Proof Of Concepts (POC), Migration Services & Deployment Services.

• Work closely with the Sales team to provide full presales assistance in support of the successful achievement of sales targets while adhering to cost of sales objectives

• Self-sufficiency in leading pre-sales activities aiming to close sales opportunities.

• Achieving reliable, timely and high-quality design and deployment work.

• Any other duties as assigned by management.

Requirements :

• Minimum 2 years of hands-on experience as a consultant with pre-sales and implementation experience.

• Minimum 3 years of solution design and/or hands-on implementation experience as a Systems Engineer.

• Wide expertise of ICT field and systems, network, storage, virtualization, and/or security.

• Experience in building and migrating applications, software and services.

• Direct experience with Cisco routing/switching, wireless LAN controller, software defined Network, Load balancer (Netscalers).

• Motivated, self-starter, with strong presentation, communication, problem solving skills.

• Ability to address, persuade and interact with senior and executive level positions as well as all levels of system end-users.

• Knowledge of Competitive Products & Technology.

• In-depth knowledge of Implementation methodologies and best practices.

Qualification :

• University Degree in Computer Science or Computer Engineering or related field.

• At least 2 years’ experience in major IT Integration / User Interaction projects involving the whole business process.

• Fluency in English.

Working Location : East Central

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

We are seeking a skilled AWS Data Engineer to join our team and support our data initiatives within the Singapore Public Sector. The ideal candidate will have extensive experience in ETL processes, data loading, and data management using AWS services.

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

About Cognizant

Cognizant (NASDAQ-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.

POSITION SUMMARY:

This role is responsible for building and maintaining a robust data foundation to drive commercial growth, operational excellence, and data consolidation within the region. Reporting to the Senior Lead, Data & Analytics and collaborating closely with the Corporate team, you will be instrumental in designing, developing, and implementing data pipelines, data models, and AI algorithms to optimize commercial performance, improve forecasting, enhance supply chain visibility, and reduce data redundancy.

The overarching objective is to transform data into actionable insights to drive business growth and efficiency. You will work closely with cross-functional teams across the region to establish and streamline data processes, ensuring data quality and consistency. Your role will involve managing and optimizing diverse data sources, including sales, marketing, supply chain, finance, customer, and operational data, to derive actionable insights for business decision-making. By harnessing the power of data and AI, you will contribute to defining the future of customer experience and driving overall business success.

KEY RESPONSIBILITIES:

• Design, develop, and maintain efficient data pipelines to extract, transform, and load data from various sources, including ERP, CRM, supply chain systems, third-party platforms, e-commerce platforms (via APIs), and omnichannel engagement platforms into a centralized data warehouse and on-premise systems.
• Identify opportunities to consolidate data sources and reduce redundant data subscriptions, including from omnichannel engagement platforms.
• Develop and maintain a data catalogue to improve data accessibility for commercial teams and enhance data-driven insights from omnichannel customer journeys.
• Create and manage master data related to products, customers, suppliers, inventory, and third-party data to ensure data consistency and accuracy for commercial analysis and data consolidation efforts, including data from omnichannel engagement platforms.
• Develop and implement data models to support sales forecasting, customer segmentation, pricing optimization, and other commercial initiatives while aligning with the company's data consolidation strategy and leveraging data from omnichannel engagement platforms.
• Build and maintain a scalable and secure data infrastructure to accommodate increasing data volumes and variety to support commercial growth, data centralization, and integration of omnichannel engagement data across both cloud and on-premise environments.
• Collaborate with commercial teams and other departments to identify data-driven opportunities, including leveraging third-party data insights and data from omnichannel engagement platforms, and translate business requirements into actionable data solutions that contribute to data consolidation.
• Develop and implement a strategy to create a unique customer identifier across all omnichannel touchpoints.
• Identify and prioritize new data sources within the region, including data from emerging omnichannel engagement platforms, to enhance commercial intelligence and support business growth while considering opportunities for data consolidation and cost reduction.
• Conduct exploratory data analysis, including analysis of third-party data and data from omnichannel engagement platforms, to identify patterns and trends that can drive revenue growth, improve profitability, and inform data consolidation efforts.
• Ensure data quality and integrity, including validation of third-party data and data from omnichannel engagement platforms, through data profiling and cleansing to support accurate commercial reporting and data consolidation initiatives.
• Optimize data pipelines and query performance to handle diverse data sources, including data from omnichannel engagement platforms, efficiently and enable timely commercial insights while maximizing data utilization across both cloud and on-premise environments.
• Provide technical support to commercial teams and data analysts in utilizing data-driven insights, including those from omnichannel engagement platforms, to improve business performance and contribute to data consolidation goals.
• Collaborate with the Corporate team on data strategy, standards, and best practices to align regional data initiatives with overall commercial objectives, data consolidation efforts, and the effective utilization of omnichannel engagement data.
• Design, develop, and deploy AI models on-premise to address data privacy and security concerns.
• Manage data governance and compliance requirements for both cloud and on-premise data environments.

KEY REQUIREMENTS:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 3 years of experience in data engineering, including data ingestion, transformation, and modeling, with a focus on integrating diverse data sources across cloud and on-premise environments. Experience with pharmaceutical industry data and regulations is a plus.
• Strong proficiency in SQL and data warehousing concepts for both cloud and on-premise platforms.
• Experience with Python for data manipulation and analysis, including API integration and model development.
• Experience with on-premise data management and security best practices.
• Understanding of cloud-based data platforms (e.g., AWS, GCP, Azure) and on-premise data infrastructure. Experience in Google Cloud Platform is preferred.
• Knowledge of supply chain management principles and processes is preferred.
• Able to process datasets in Mandarin language, and to interact and work closely with Mandarin- speaking stakeholders.
• An innovative mindset combined with an agile way of working and adaptability to a fast-paced environment.
• Strong analytical and problem-solving skills.
• Strong documentation skills.
• Excellent communication and interpersonal skills - Ability to communicate with both technical and business teams.
• Strong time management and organizational skills - Ability to manage multiple projects and prioritize tasks.
• Attention to detail and accuracy.
• Ability to work effectively both independently and as part of a team - Ability to work cross-functionally and across local markets within APAC region.
• Able to commit for 1 year contract.

About Us:
From business process re-engineering to global business expansion for Japanese corporations, Abeam Consulting has served our clients through more than 40 years of growth. With our vision of being the No. 1 global consulting firm from Asia, ABeam Consulting helps our clients take on the challenge of business transformation. With 4,400 consultants in Japan, and 3,100 in overseas offices concentrated in Asia, our 7,500 consultants and global alliance partners provide truly comprehensive services.


Responsibilities:

• Coordinate data migration activities between Business Analysts (BA), Data Analysts (DA), IT, and Business teams across all branches.
• Establish a data migration framework and ensure alignment with the target operating model (TOM) requirements.
• Identify and roll out tools for use by the data migration team.
• Develop and implement a project reporting framework to track status and progress.
• Create transparency in the migration process and conduct risk assessments.
• Lead the data migration governance framework, reviewing and approving key decisions.
• Report directly to the Project Manager for updates to the steering committee.

Requirements:

• Min. Bachelor’s Degree in IT or any relevant field.
• At least 5 years of experience in IT Service Management (ITSM), including all phases.
• At least 5 years of experience in Business requirement gathering and definition.
• At least 5 years of Banking industry experience, with knowledge of bank products such as Deposits, Loans, Remittance, Trade, Treasury, etc.
• Possess 5 years of project management experience with minimum 1 year of data analysis experience.
• Systematic knowledge of ITSM (e.g., ITIL).
• Possess strong business communication skills in English and Japanese (to liaise with Japanese speaking stakeholders and clients).
• Experience with client engagement and team management.

Why Join Us
At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, Abeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. Abeam Consulting has also recently joined SAP’s regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamond Partner in providing RPA solutions. With such accolades, we aim to continue driving enterprise and digital transformation initiatives in order to transform the way people work and communicate in the digital age. In addition, our industry team is working tirelessly in order to bring more solutions to the banking and finance sector.

We regret only shortlisted candidates will be notified.

Head of Data Analytics & Operations

Affle is a global technology company with a proprietary consumer intelligence platform that drives consumer engagement, acquisition, and transactions through targeted Mobile Advertising. We are looking for a strategic and results-driven Head of Data Analytics & Operations to lead our YouAppi platform’s data analysis, operations, and business intelligence initiatives. This key leadership role will be responsible for optimizing global operations, improving workflows, enhancing team collaboration, and leveraging data to inform critical business decisions. The role will involve close collaboration with senior leadership across both the EU and APAC regions.

Key Responsibilities:

1. Operational Strategy & Execution

• Partner with the COO and SVP of Product Performance to design and implement operational workflows, streamline business processes, and improve performance across global and regional operations.
• Work alongside the VP of Operations to ensure alignment of operational workflows across the APAC region, optimizing efficiency and aligning regional priorities with company goals.
• Develop and execute strategies to enhance operational efficiency, resource allocation, and project delivery through data-driven insights.
• Continuously refine operational processes to ensure they are scalable, efficient, and aligned with both global and regional objectives.

2. Strategic Data Analysis & Business Intelligence

• Lead the creation and execution of strategic data analysis initiatives, providing actionable insights to optimize operations, programmatic campaign management, and product delivery.
• Drive the adoption of business intelligence tools and processes to enhance decision-making across the organization.
• Deliver regular reports and dashboards on key performance indicators (KPIs), guiding operational and strategic decisions for senior leadership.
• Collaborate with product and analytics teams to stay on top of market trends, competitive performance, and industry innovations.

3. Team Management & Leadership

• Lead and mentor a diverse, cross-functional team of operations and analytics professionals, fostering a culture of collaboration, innovation, and accountability.
• Ensure team members in both Europe and APAC are aligned with the company’s strategic objectives and have access to the tools, training, and resources they need to succeed.
• Oversee talent development and performance management, ensuring high-performing, engaged teams.
• Promote continuous learning and professional growth within the team, encouraging cross-regional collaboration.

4. Cross-Functional Collaboration

• Work closely with senior management to implement global operational workflows, ensuring consistent practices and standards across all regions.
• Collaborate with teams globally to implement and synchronize operational workflows, ensuring seamless communication and effective coordination across regions.
• Develop strategies to improve communication between global offices, ensuring alignment of goals and transparency in operations.

5. Continuous Improvement & Innovation

• Foster a culture of continuous improvement by optimizing workflows, increasing productivity, and enhancing the client experience.
• Identify and implement new tools, processes, and technologies that can improve both global and regional performance.
• Regularly assess operational efficiency and client satisfaction metrics, proposing data-driven strategies for improvement based on insights and feedback.

Affe International Pte Ltd (“Affle”) has a Data Protection Policy for Job Applicants (Singapore) that sets out the basis upon which Affle may collect, use, disclose or otherwise process your personal data in accordance with the Personal Data Protection Act (“PDPA”). To find out more, read our updated privacy policy

By submitting your Job Application, you are granting your consent to the processing of that information in accordance with Affle Data Protection Policy.

Affe International Pte Ltd (“Affle”) has a Data Protection Policy for Job Applicants (Singapore) that sets out the basis upon which Affle may collect, use, disclose or otherwise process your personal data in accordance with the Personal Data Protection Act (“PDPA”). To find out more, read our updated privacy policy

By submitting your Job Application, you are granting your consent to the processing of that information in accordance with Affle Data Protection Policy.