✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

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.

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

What the day will look like

As the Head of Data & Analytics APAC, you will manage a team to deliver Data & Analytic capabilities to the Aon business. You will lead, develop and maintain the data and analytics strategy for the region working to enhance efficiency, execution and colleague experience. Working as part of a global function, this role involves building stakeholder relationships, driving a modernisation of data analytic tools, as well as driving the development, implementation and promotion of data governance and quality frameworks and strategies.

Stakeholder Relationships

• Collaborate with senior stakeholders to align analytics initiatives with business objectives and requests and work closely to achieve delivery of quality outputs
• Supervise team performance, development, and task delegation

Data Governance

• Work with business teams to understand & define their key data needs to support analytics and operational delivery for clients
• Work with Aon’s Central Data Office to develop, implement, and maintain data governance policies, procedures, and standards in alignment with industry practices and regulatory requirements
• Support with establishing the framework and operating model that enables effective data governance & management locally in the region
• Collaborate with multi-functional teams to define data governance roles and responsibilities and promote a culture of data stewardship and accountability
• Help to identify and assign data stewards within the region
• Supervise the data steward & business/data analyst activities, provide guidance/support
• Establish and implement data quality standards, critical metrics and processes to ensure accuracy, completeness, and consistency of data across all systems and platforms
• Report progress on data cleaning / data quality activities
• Support regional and global MDM activities and outcome/critical metric delivery
• Prioritize and coordinate data governance & management initiatives within region helping provide the vital resources to carry them out
• Participate in global and regional data governance forums

Analytics and Operational Reporting Delivery

• Drive the automation and self-service approach for operational reporting
• Providing data quality analysis of issues to stakeholders
• Lead analytics projects and generate actionable insights through advanced analytics, data modeling, and segmentation. Your work will optimize business outcomes and drive critical initiatives.
• Driving data integrity and reporting quality

Data Operations

• Ensure key data operation tasks are maintained to ensure business continuity
• Collaborate with other teams to leverage capabilities and respond to organizational needs.

Skills and Experience that will lead to success

• Experience in BI, analytics, data analytics with at least 3 years in a leadership role
• Experience within finance / insurance preferred.
• Experience working in a large, complex environment, with a range of stakeholders, across multiple business units
• Background in data-related field: data analysis and visualisation, data quality, data warehousing, data engineering, financial reporting.
• Strong affinity with, and interest in new trends in AI & Data (including Data Governance and quality)
• Superb communication skills with the ability to simplify complex information optimally
• Expertise with relational databases, warehousing and lake-house technology - SQL Server, Oracle, Databricks, Snowflake, Azure Blob Storage / AWS S3.
• Extensive understanding of data management. Including awareness of the security, privacy, ethics and quality requirements for data, and data analysis techniques.
• Experience in logical and physical data model design and broader data architecture design.
• Prior development experience in some of SQL, python for data processing, PowerBI, Qlik.
• Experience in technical accounting solutions for insurance policy management, or in financial systems such as Workday Accounting, Oracle TM1 etc. a plus.
• Bachelor degree or equivalent in IT-related field.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation on [email protected]

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

• Salary : Up to $2000
• Working Location : Kaki Bukit
• Working Days & Time: Mon- Fri | 8:30am - 6pm (including 1 hour break)

Job Responsibilities

• Provide general administrative/clerical duties and support
• Liaise with stakeholders if any discrepancy is found
• Scanning of documents
• Any other assignments

Job Requirements

• Minimum O 'Level and above
• At least 1 year admin exprience
• Must be proficient in Microsoft Office (Word, Excel etc.)
• Singaporean/PR

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company.

- Build an effective toolchain to improve development performance;

- Introduce new AI technologies to our online system, support billions of users all over the world;

- Improve the reliability of the system, manage the challenges of scale and complexity;

- Squeeze extreme performance from hardware and handle huge amount of requests;

- Research, design, and develop computer and network software or specialised utility programs;

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis;

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures;

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements;

Qualifications

- Bachelor's degree or above, majoring in Computer Science, Engineering or related fields.

- Strong programming and coding experience with at least one modern language such as C/C++, Golang, Python

- Experience contributing to the large scale distributed systems, multi-tenant systems (architecture, reliability and scaling)

- Strong analytical abilities and problem solving

- Good communication, self-motivation, engineering practice, documentation, etc.

- At least 3 years of relevant experience.

Preferred Qualifications

- Familiar with large-scale distributed systems like Spark and Elasticsearch;

- Familiar with the web technologies, such as Django / Flask / React.JS etc.

Bytedance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Bytedance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

• Build scalable and robust software systems using the Hadoop ecosystem, including Hive, HDFS, Yarn, and Spark.
• Develop and optimize data pipelines using PySpark, Scala, and HDFS file formats like Parquet and ORC.
• Create and manage CI/CD pipelines using Jenkins, Bitbucket, and Azure DevOps (ADO).
• Develop automation scripts for builds, deployments, and test frameworks.
• Work with data warehousing systems to handle large-scale datasets effectively.
• Monitor and optimize resource utilization with tools like Grafana and Control-M.
• Leverage scripting languages (Shell, Python) and tools like HortonWorks and SQL engines for efficient data processing.
• Incorporate Java and REST services development as needed for system integration.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in designing application solutions in hadoop ecosystem
• Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
• HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
• Good knowledge in data warehousing system
• Experienced in any scripting language (SHELL, PYTHON)
• HortonWorks distribution and understanding on SQL engines (Tez, MR)
• Java/RestServices/Maven experience is a value addition
• Control-M development. Monitoring Resource utilization using Grafana Tool
• Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
• Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
  

Skillset:

o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Job Responsibilities:

- Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.

- Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.

- Train and fine-tune ML models using appropriate algorithms, techniques, and tools.

- Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.

- Work closely with software engineers and DevOps teams to deploy models in production environments.

- Implement APIs and integrate models into existing systems to enable real-time decision-making.

- Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.

- Continuously refine models and algorithms based on user feedback and performance metrics.

- Perform exploratory data analysis to uncover trends and insights.

- Use statistical methods and visualization techniques to communicate findings to stakeholders.

- Stay updated on advancements in ML and artificial intelligence (AI).

- Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

- At least 2 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.

- Familiarity with Large Language Models and Generative AI technologies is a plus.

- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

- Strong understanding of statistical analysis, probability theory, and hypothesis testing.

- Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

- Strong analytical and problem-solving skills with the ability to break down complex problems.

- Excellent communication skills to articulate technical concepts to diverse stakeholders.

- Proven ability to collaborate in a team environment and manage multiple priorities effectively.

- Eagerness to learn and adapt to new tools, technologies, and methodologies.

- Commitment to staying updated on the latest trends and innovations in ML and AI.

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

Only shortlisted candidates will be notified.

(EA Reg No: 20C0312)

About Us:

At our core, we are a digital health startup with a bold vision: we believe in a future where healthcare is personalised, accessible, and affordable for everyone. Over the past four years, we’ve built a telehealth platform that has transformed healthcare in Singapore, Hong Kong, and Japan. But this is just the beginning.

We are looking for someone who shares our vision and is ready to join us on this journey towards reshaping healthcare in Asia. If you’re ready to do something truly impactful, this is the opportunity to create a legacy that will define the next generation of healthcare.

About the Role:

As a Data Engineer, you’ll take full ownership of our data infrastructure overhaul, focusing on creating a reliable, scalable, and efficient data ecosystem. You’ll address tracking issues, implement robust data governance, and ensure seamless data flows between our Customer Data Platform (Segment), BigQuery, and downstream tools.

This role requires a proactive, detail-oriented individual with strong technical skills and a collaborative mindset to work closely with Product, Growth, and Engineering teams.

Why Join Us?

This is more than a job—it’s a mission. While there may be trade-offs in compensation, what we offer is the chance to be part of something transformative. You’ll have ownership over impactful projects and the opportunity to work with a passionate team dedicated to changing lives through technology and innovation.

What You’ll Do:

• Review and resolve tracking inconsistencies, including issues with funnel analysis and data gaps.
• Audit the integration and configuration of Segment and BigQuery, ensuring accurate and complete data collection.
• Conduct a root cause analysis of past tracking issues and implement long-term solutions.
• Build, optimise, and document ETL pipelines to ensure accurate and reliable data flows.
• Enhance tracking schemas, event definitions, and data integration processes to support business needs.
• Collaborate with Product and Growth teams to create a unified tracking plan, ensuring alignment and consistency.
• Develop and enforce data governance standards, including naming conventions, event schemas, and processes for implementing tracking changes.
• Implement real-time monitoring and alerting systems to identify and resolve data anomalies proactively.
• Create robust processes for testing tracking updates in staging environments before production deployment.
• Provide training and documentation to key team members, enabling them to query and interpret data confidently.
• Evaluate and optimise existing tools like BigQuery and Segment for scalability and evolving business needs.
• Design solutions to accommodate new product features, platforms, and growth initiatives without disrupting existing data flows.

Who You Are:

• Strong expertise in data engineering, with a focus on BigQuery and Segment.
• Proficiency in SQL, data modelling, and ETL pipeline development.
• Knowledge of event tracking best practices, including debugging and optimisation for marketing funnels.
• Familiarity with data orchestration tools such as dbt or Apache Airflow.
• Strong understanding of data governance and quality assurance practices.

What We Offer:

• The chance to work on meaningful projects that have the potential to transform healthcare in Asia.
• A collaborative and innovative team culture where your contributions truly matter.
• Ownership over impactful projects and the freedom to explore cutting-edge technologies.

Why Join Us:

• Impact: Be part of something truly transformative—help lead the shift towards personalised healthcare in Asia.
• Ownership: Full responsibility over the engineering function and the freedom to shape technical direction.
• Equity: Share in the long-term success of the company.
• Flexibility: Work remotely, with occasional travel across Asia to collaborate with the team.
• Mission-Driven: Join a team that’s passionate, focused, and committed to making a real difference in healthcare.

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.

Roles & Responsibilities

• Supporting operation in the assigned process unit in DCS panel
• Handling day-to-day duties and plant troubleshooting
• Conducting field logging, routine sampling, and plant testing work
• Ensuring equipment complying to SOP and working instructions
• Management of the team, including all aspects of people and performance management.
• Drive and work with support teams to resolve service disruptions and restore services as rapidly as possible.
• Ensure timely escalation and track incident life cycle till resolution.
• Document and update NOC operation processes and troubleshooting guides.
• Identify areas for process and efficiency improvements within NOC.
• Participate and contribute product or enhancement projects.
• Other general duties

Requirements:

• At least 3 years’ working experience in IT Helpdesk / NOC environment (Telco Environment)
• At least 2 years’ management experience to lead a support team
• Strong Communication Skills, with good email and verbal etiquette for compilation information / creation and dissemination of SOPs
• Familiar with Layer 2 and Layer 3 Technologies, eg DWDM, BGP, to aid in fault identification and escalation.
• Able to work independently and as a good team player.
• Good deductive reasoning and problem-solving ability.
• Excellent verbal and written communication and presentation skills.

Position Overview

We are seeking a highly skilled and experienced Data Engineering Manager to lead and oversee the development, implementation, and optimization of data engineering solutions in the financial services industry. The ideal candidate will be a strategic thinker with strong technical expertise, leadership capabilities, and a passion for driving data-driven decision-making in a dynamic environment.

Key Responsibilities

• Team Leadership and DevelopmentLead, mentor, and manage a team of data engineers to design, build, and maintain scalable and robust data pipelines.
  Foster a culture of innovation, collaboration, and continuous learning within the team.
  
• Data Infrastructure and ArchitectureDesign and implement end-to-end data architectures, including data acquisition, transformation, storage, and distribution.
  Collaborate with data architects to ensure alignment with enterprise-wide data strategies and compliance requirements.
  Optimize existing data systems and build new data models that support financial analytics, reporting, and machine learning initiatives.
  
• Collaboration and Stakeholder ManagementPartner with cross-functional teams, including business analysts, data scientists, and IT teams, to deliver data solutions aligned with business goals.
  Work closely with compliance and risk management teams to ensure adherence to industry regulations (e.g., GDPR, CCPA, or PCI-DSS).
  
• Innovation and Best PracticesStay updated on the latest trends and technologies in data engineering and apply them to enhance the organization’s capabilities.
  Establish and promote best practices for data engineering, including version control, testing, and documentation.
  
• Project Management and DeliveryOversee multiple data engineering projects, ensuring timely delivery and quality assurance.
  Manage project budgets, timelines, and resources efficiently.
  

Qualifications and Skills

Educational Background

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience

• 7+ years of experience in data engineering, with at least 3 years in a leadership or management role.
• Proven experience in the financial services industry, with a strong understanding of data requirements and challenges specific to the sector.

Technical Skills

• Expertise in designing and implementing data pipelines using tools such as Apache Spark, Kafka, Airflow, or similar.
• Strong proficiency in SQL, Python, Java, or Scala for data processing.
• Experience with cloud platforms like AWS, Azure, or Google Cloud, including data-related services (e.g., Redshift, BigQuery, Databricks).
• Solid understanding of ETL/ELT processes, data warehousing, and big data technologies.
• Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Jenkins).

Soft Skills

• Strong leadership and team management capabilities.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Problem-solving mindset with a focus on delivering practical and scalable solutions.

Preferred Qualifications

• Experience with financial data, risk modeling, or compliance-related data engineering.
• Knowledge of data governance frameworks and data quality best practices.
• Certifications in cloud technologies (AWS Certified Data Analytics, Azure Data Engineer, etc.).