Total 650 Senior Executive data entry job vacancies in Singapore

Required Skills & Qualifications

• Bachelor’s or master’s degree in operations research, Computer Science, Data Science, or a related quantitative discipline, with a strong foundation in optimization, simulation, and algorithmic problem‑solving.
• Minimum of 3 years of hands‑on experience in 3D modelling and simulation using platforms such as NVIDIA Omniverse or equivalent tools.
• Strong proficiency in Python, R, SQL, and modern data engineering practices.
• Practical experience with machine learning frameworks such as TensorFlow and PyTorch, as well as simulation and modeling tools.
• Solid understanding of semiconductor manufacturing processes and fab operations.
• Familiarity with IoT data pipelines, MES systems, and cloud platforms such as AWS and Azure.

Key Responsibilities

• Collaborate with a global, cross‑functional team of data scientists, data engineers, solution architects, external partners, and stakeholders from construction, facilities, and planning teams to develop highly accurate digital twins of semiconductor fabs.
• Enable advanced digital twin capabilities, including photorealistic visualization and physics‑based simulation, to support planning and operational decision‑making.
• Design, build, and maintain data‑driven models that represent semiconductor fab processes,equipment behavior, and sub‑fab utility systems.
• Integrate IoT sensor data, Manufacturing Execution System (MES) data, and facility data into the digital twin platform to ensure real‑time and historical insight.
• Develop predictive analytics and machine learning models for predictive maintenance, throughput optimization, energy efficiency, and yield improvement.
• Apply statistical and ML techniques to forecast equipment failures, cycle time variability, and potential yield impacts.
• Leverage simulation tools such as NVIDIA Omniverse to conduct what‑if analysis for layout planning, capacity expansion, and process optimization.
• Optimize fab workflows to improve cost efficiency, energy consumption, and overall productivity.
• Design and deliver dashboards for real‑time monitoring of key fab KPIs, including OEE, WIP, and energy usage.
• Partner with engineering teams to visualize fab layouts, system states, and operational scenarios within immersive 3D environments.
• Support and contribute to cross‑functional initiatives related to AI, automation, Industry 4.0, and smart manufacturing solutions.

To Apply:

Interested applicants please send your resume in MS Words format to pooja.yadav@ambition.com.sg and attention to Pooja (R1551322)

Short listed candidates will be notified

www.ambition.com.sg

EA Registration Number: R1551322

Data provided is for recruitment purposes only

Business Registration Number: 200611680D.

License Number: 10C5117

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Department Overview

The Data Lake house Section provides the foundation for Rakuten Digital Twin strategy enabling seamless, real-time understanding of customers across services. 
We manage one of the world's largest first-party datasets, developing and operating products like Customer DNA (CDNA) and Deep CDNA, which unify data across business units. 

As a Senior Data Engineer, you will play a key role in the architecture, development, and optimization of Rakuten's core data platform. 
You will lead engineering efforts to design scalable, reliable, and secure data pipelines and collaborate closely with global teams in Japan and India.

Responsibilities:

- Lead the design, development, and operation of scalable and reliable data pipelines supporting Customer DNA and related data products.
   
- Drive best practices in data engineering, including performance tuning, automation, and observability.
   
- Collaborate with product managers, data scientists, and analytics engineers to deliver end-to-end solutions.
   
- Oversee data ingestion, transformation, and quality control processes to ensure trusted data availability.
   
- Design and optimize data architectures leveraging Google Cloud Platform(GCP) services (e.g., Big Query, Dataflow, Pub/Sub, Cloud Storage).
   
- Mentor team members, promote engineering excellence, and contribute to a culture of learning and collaboration.
   
- Ensure compliance with data governance, security, and privacy standards across systems.
   
Qualifications:

- 5+ years of experience building and operating big data platforms for analytics or business operations.
   
- 2+ years of experience managing large-scale, real-time or unstructured datasystems in distributed environments.
   
- Proficiency in Python programming and related libraries (e.g., Pandas, NumPy, PySpark, Pydantic).
   
- Strong hands-on experience with Google Cloud Platform (GCP), including Big Query, Cloud Storage, Cloud Functions, Dataflow, Pub/Sub, and IAM.
   
- Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, and cloud resource management.
   
- Experience with **containerization (Docker)** and **orchestration (Kubernetes)** in cloud-native environments.
   
- Strong understanding of **SQL and NoSQL** data stores, with experience inlarge-scale distributed systems.
   
- Proven ability to identify and solve complex data engineering challenges, ensuring system reliability and scalability.
   
- Excellent communication and leadership skills, with experience guidingcross-functional or remote teams.
   
- Business-level proficiency in English.

- Proficiency in Japanese will be an advantage, as the role involves communication with Japanese-speaking stakeholders.

Good to have:

- Experience designing Python-based data engineering frameworks ensuring scalability, performance, and maintainability.
   
- Experience developing and maintaining reusable Python packages and libraries for data pipelines.
   
- Familiarity with API-based data integration and micro service architectures.
   
- Experience implementing cloud-native data solutions to optimize cost and performance.
   
- Proven ability to balance hands-on technical contribution with strategic leadership.
   
- Ability to mentor engineers and promote best practices in software craftsmanship.
   
Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.
   

Company: Simple Recruit (An Extension of Royal Organization)

Overview

We believe attitude matters more than experience.

Simple Recruit is seeking individuals who are willing to learn, grow, and challenge themselves, regardless of background.

What We Offer

HEY HEY! LOOKING FOR A CHANGE?

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

About KoolLogix 

KoolLogix is a Singapore emerging enterprise that provides thermal management solutions for IT and Data Centre applications. The company is growing its talent pool by recruiting technical resources to support its aspiring plan in innovative engineering solutions.  

This role requires a highly self-motivated individual who is well organized and can manage time effectively. The role requires the talent to perform the following duties: 

Site Supervision and Coordination 

• Supervise daily site activities and ensure work is executed according to project specifications, plans, and safety regulations. 

• Coordinate with Project Engineer and subcontractors to ensure smooth progress of work on site. 

• Conduct regular site inspections to monitor the quality of work and identify potential issues. 

Communication and Reporting 

• Maintain effective communication with the Project Engineer, customer representatives, and subcontractors. 

• Provide regular updates on site progress, issues, and concerns to the Project Engineer. 

• Assist the Project Engineer in preparing progress reports and other project documentation. 

Safety and Compliance 

• Ensure compliance with safety regulations, site safety policies, and customer safety requirements. 

• Conduct regular safety briefings and toolbox talks for site personnel. 

• Report any safety incidents or concerns to the Project Engineer and relevant parties. 

Material and Equipment Management 

• Assist the Project Engineer in tracking and managing materials and equipment on site. 

• Ensure proper storage and handling of materials and equipment to prevent damage or loss. 

• Coordinate with vendors and subcontractors for timely delivery of materials and equipment. 

Quality Assurance and Control 

• Assist the Project Engineer in implementing quality control measures and ensuring that all work is performed according to established standards. 

• Conduct site inspections and tests to verify compliance with project specifications and quality standards. 

• Assist in managing the testing and commissioning process and ensure proper documentation of test results and customer acceptance. 

Site Closure and Handover 

• Coordinate with the Project Engineer and other stakeholders in completing the project handover process. 

• Assist in conducting site walkthroughs with customer representatives and addressing any outstanding issues. 

• Participate in the Project Closure Meeting to review lessons learned and identify areas for improvement in future projects. 

Requirement

•  A minimum of 3 years’ experience as below is required:

• Maintenance & field support with relevance to industrial ACMV refrigerant systems

Other requirements:

• Higher NITEC in Control/Electrical/Mechanical Engineering is required.

• Strong planning, coordination & reporting skills.

• Strong knowledge of mechanical engineering principles, specifically thermodynamics & fluid mechanics an added advantage.

• Prior experience working in data center an added advantage.

• Prior experience in customer engagement.

• Excellent communication, interpersonal, and presentation skills, with the ability to collaborate effectively with team members, clients, and external partners.

• Strong analytical skills, systemic thinking, and reasoning, with an attention to detail.

• Ability to work independently and manage multiple priorities in a fast- paced environment.

• Must be flexible and able to respond to service calls for criticalissues during, and beyond, working hours.

Qualification:

• WSQ Workplace Safety and Health Management in Construction Industry - WSHM-CI, formerly BCSS.

• WSQ Manage Work at Height Course (MWAH).

• Possession of a Class 3 license is a must.

Residency Requirement:

• The candidate must be based in Singapore, as this role requires 24/7 standby availability.

Responsibilities

• Design and build scalable ETL/ELT pipelines for real-time streaming of exchange and on-chain data feeds (Binary / Native, SBE, WebSockets, FIX, gRPC, etc.).
• Engineer high-performance storage and querying layers using ClickHouse (or equivalent columnar/time-series DBs) optimized for billions of rows of tick and order-book data.
• Implement real-time data processing, transformation, and enrichment pipelines (Kafka / Kinesis / Flink or equivalent).
• Ensure data quality, observability, backfilling, replay capabilities, and low-latency delivery to trading engines, quant researchers, and risk systems.
• Own infrastructure-as-code, monitoring, alerting, and cost optimization across the full data platform.
• Collaborate closely with quants, traders, and software engineers to translate trading and research needs into production data infrastructure.
• Build and optimize data pipelines for feature engineering and dataset generation from high-frequency time-series data to support machine learning model training and evaluation.
• Design real-time data serving layers (e.g., low-latency queries from ClickHouse) to power online inference and live AI-driven trading signals or risk models.
• Implement data versioning, lineage, and quality controls to enable reliable, reproducible ML experimentation and production deployment.

Requirements

• 7+ years as a data engineer in a high-volume, low-latency environment (HFT/prop trading, fintech, or large-scale real-time analytics strongly preferred).
• Deep, production-level expertise with ClickHouse (or similar: TimescaleDB, Druid, Pinot, etc.) for large-scale time-series workloads.
• Proficiency with Python, SQL, and data orchestration tools (Airflow, Dagster, or equivalent).
• Prior workbuilding data infrastructure for ML/AI (feature stores, model trainingpipelines, or real-time inference data layers).
• Proven track record of owning end-to-end data platforms as a senior individual contributor or small-team lead — you’ve been the “one-man band” before and delivered results under pressure.
• You need to be someone who can think on their feet, able to adjust individual priorities to deliver measurable impact to the team.
• A genuine interest and passion for Agentic AI Development, Machine Learning, and building Autonomous Workflows.
• Be reflective on constructive feedback, share knowledge openly, and be prepared to both learn and unlearn, whilst contributing to transparent decision-making.
• Your decision making is evidence based, using data to evaluate success and improve efficiency.

✈️Meet people, travel, and build your skills in marketing & events. Fun team + career growth + incentives!

Responsibilities

• Face-to-face sales & marketing at events and roadshows
• Engage customers and represent established brands
• Achieve campaign and team targets
• Assist in planning marketing initiatives
• Recruit and develop future team members

Perks:

• Performance-based earnings with weekly payouts
• Fast-track career progression into leadership
• Travel opportunities & regional campaigns
• Energetic, supportive team culture

Who We’re Looking For

• Fresh graduates or career switchers
• Positive, driven, results-oriented mindset
• Strong communication and teamwork skills

Key Responsibilities

• Promote and represent clients’ brands through direct marketing activities

• Engage with potential customers and build positive relationships

• Support marketing campaigns and brand awareness initiatives

• Achieve individual and team sales targets

• Work closely with team members to drive business growth

• Participate in training programs to develop sales and leadership skills

Requirements

• Good communication and interpersonal skills

• Positive attitude and willingness to learn

• Self-motivated and goal-oriented

• Able to work independently and in a team environment

• No prior experience required (training provided)

Benefits

• Structured training and development program

• Career advancement opportunities

• Supportive and collaborative team environment

• Performance-based incentives

Want to find out more? Apply now!

Key Responsibilities

• Promote and represent clients’ brands through direct marketing activities

• Engage with potential customers and build positive relationships

• Support marketing campaigns and brand awareness initiatives

• Achieve individual and team sales targets

• Work closely with team members to drive business growth

• Participate in training programs to develop sales and leadership skills

Requirements

• Good communication and interpersonal skills

• Positive attitude and willingness to learn

• Self-motivated and goal-oriented

• Able to work independently and in a team environment

• No prior experience required (training provided)

Benefits

• Structured training and development program

• Career advancement opportunities

• Supportive and collaborative team environment

• Performance-based incentives

Want to find out more? Apply now!