Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description:

• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas to enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of company's data structure/data latency whenever necessary
• Nurture and provide guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis

Requirements

• Bachelor or above in Data Science, Analytics, Mathematics
• Minimum 4 years' experience in SaaS product development preferred; shipping knowledge would be advantageous
• Excellent communication skills, with the ability to present complex analysis to a non-technical audience
• Proficiency in Python/SQL, as well as Cloud platforms (GCP preferred)/ Google Suite (Apps Script is a plus)/ GitHub/Jira/Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Good knowledge of mathematics/statistics/computer science/machine learning
• Strong problem solving and risk analysis skills to analyse company's internal system data, as well as the forecast system background data
• Ability to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow-up actions
• Highly self-motivated and able to work independently
• Experience in MLDevOps on Cloud is a plus

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

Roles and Responsibilities

• Be part of the development core for the Digital Transformation Development team
• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas to enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from ONE data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of data structure/data latency whenever necessary
• Nurture and provide guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis

Requirements

• Bachelor or above in Data Science, Analytics, Mathematics
• Minimum 4 years' experience in SaaS product development preferred; shipping knowledge would be advantageous
• Excellent communication skills, with the ability to present complex analysis to a non-technical audience
• Proficiency in Python/SQL, as well as Cloud platforms (GCP preferred)/ Google Suite (Apps Script is a plus)/ GitHub/Jira/Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Good knowledge of mathematics/statistics/computer science/machine learning
• Strong problem solving and risk analysis skills to analyse ONE internal system data, as well as the forecast system background data
• Ability to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow-up actions
• Highly self-motivated and able to work independently
• Experience in MLDevOps on Cloud is a plus

Interested applicants, please Email , and look for

Jensen Fang Lifa, [email protected]

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

We are seeking a dynamic Junior Data Engineer to join our Regional Data team to help foodpanda make smart, data-driven business decisions. We maintain data ingestion pipelines while creating and maintaining products and frameworks to empower teams to craft insights and build quality data products.

Responsibilities

• Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.
• Ingesting first and third-party data sources into our petabyte-sized data warehouse.
• Curating and maintaining high-quality data assets so our data scientists and analysts can make informed decisions and create better products.
• Creating and maintaining tools that enable data consumers to use our data better.
• Collaborating with cross-functional teams to deliver high-quality data assets.

About the Role

We are seeking a highly skilled and detail-oriented Data Management Specialist to join our dynamic team. This role is ideal for individuals with a strong background in data management, analytics, and engineering, particularly within the investment and banking industries. You will work closely with diverse stakeholders to design, implement, and maintain robust data lifecycle solutions.

Key Responsibilities

• Collaborate with business users (e.g., research analysts, quantitative strategists) and technical teams (e.g., data engineers, data scientists) to develop and support data lifecycle solutions such as data onboarding and distribution.
• Validate and contribute to the design of lifecycle data solutions to ensure alignment with business and operational needs.
• Oversee day-to-day operations, including metadata collation, analysis of system operations data (e.g., data quality metrics), and data distribution service usage.
• Perform data access control operations, ensuring compliance with enterprise data governance and handling standards.
• Serve as the Center of Excellence for common data lifecycle services by defining standards, best practices, and workflow processes to improve operations and ensure compliance.
• Monitor, analyze, investigate, and resolve operational incidents while providing advisory support to users.
• Continuously identify opportunities for improvement in processes and operations.
• Build and maintain strong stakeholder relationships to support current and future data lifecycle needs.

Mandatory Skills and Qualifications

• Education: Degree in Accounting, Finance, Engineering, Computer Science, Information Technology, or a related field from a recognized tertiary institution.
• Experience: Minimum 5 years in data management, analytics, or engineering, preferably within the investment or banking industries.
• Technical Expertise:Strong knowledge of data management principles, key controls, and processes, including data integration and distribution.
  Proficiency in programming languages such as Python, Java, and SQL.
  Familiarity with data visualization tools (e.g., Tableau, Power BI) and virtualization technologies (e.g., Denodo) is a plus.
  

Skills:

• Meticulous and detail-oriented with a strong focus on operational accuracy.
• Proven ability to design and implement solutions and conduct code reviews.
• Excellent written and verbal communication skills.
• Strong interpersonal skills to interact effectively with diverse stakeholders.
• Agile and quick to learn, with the ability to adapt to changing environments.
• Strong analytical skills and a passion for solving complex problems.
• Experience with SDLC implementation methodologies and/or Agile frameworks like Scrum and Kanban.

EA License: R1873481

Company EA License: 11C4879

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

About the role:

We seek a visionary and experienced Data Manager to head the Financing products analytics team. In this leadership role, you will build and manage a high-performing data team that provides data-driven insights and support to our Financing products business groups. You will be pivotal in developing and implementing data strategies that maximize user acquisition, improve conversion rates, and ensure responsible financial practices across both verticals.

Responsibilities:

• Lead and manage a team of data analysts, ensuring their skills and expertise cater to the specific needs of the Financing products team.
• Partner with Financing products commercial stakeholders (e.g., Marketing, Sales, Product) to understand their unique business objectives and translate them into actionable data requests.
• Develop and implement a unified data strategy for financing activities aligned with company objectives.
• Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) for user acquisition, conversion, transaction behavior, credit risk (PayLater), insurance economics, and fraud
• Conduct in-depth data analysis to identify trends, growth opportunities, and improvement areas in user acquisition, conversion, risk management, and product development (for Financing products).
• Leverage data to inform credit risk modeling for PayLater and actuarial modeling for insurance, ensuring responsible lending and product offerings.
• Communicate complex data insights in a clear, concise, and actionable way to both technical and non-technical audiences.
• Stay up-to-date on the latest data science trends and technologies relevant to the FinTech and insurance industries, and implement tools to enhance Financing products analytics capabilities.
• Foster a collaborative and data-driven culture within the Financing products teams.

‎

Requirements:

• Minimum 7+ years of experience in a data leadership role, preferably within the financial technology industry.
• Proven experience in managing and mentoring data analysts.
• Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
• Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.
• Strong leadership skills, with the ability to motivate and inspire a team.
• Strategic thinking and problem-solving skills.
• A passion for the travel industry and a deep understanding of online travel agent (OTA) business models (a plus).

‎

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

• 1-month role

• Well Established Company

• Working hour: 8.15am – 5.45pm (Monday - Friday)

• Company located at Tuas

• Company transport provided: Boon Lay, Bukit Batok, Choa Chu Kang

Job Scope

• Accurately enter data into company systems and databases
• Review and verify data for errors or inconsistencies
• Organize and maintain electronic files and records
• Assist with data cleansing and other data-related tasks as needed
• Collaborate with team members to ensure timely project completion
• Perform other administrative duties as assigned

Requirement

• GCE O Level & above
• 1 - 2 years of relevant working experience in similar position

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

SIM BEI NA (R22111637)

EA Recruitment Pte Ltd

EA License No: 21C0492

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

Responsibilites

• Design, develop, and maintain robust data pipelines and architectures.
  Collaborate with cross-functional teams to integrate data from various sources.
• Implement and manage CI/CD processes to ensure smooth deployments.
• Optimize Snowflake database performance and ensure efficient data storage.
• Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
• Write and maintain detailed technical documentation for data processes and architecture.
• Monitor and troubleshoot data pipelines to ensure data integrity and quality.
• Stay current with industry trends and best practices in data engineering and integration.

Requirement

• Expertise in Snowflake database development.
• Proficient in Azure Data Factory and the MS Fabric stack.
• Experience with Continuous Integration / Continuous Deployment (CI/CD).
• Strong background in advanced data integration and engineering.
  Proven ability to write clear and comprehensive technical documentation.
• Experience with multiple cloud platforms, specifically Azure and AWS.
  Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills.
  

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
• Minimum 5 years of experience in a similar role.

What will you do?

• Oversee the product “Identity”. Some examples of the data you’ll manage would be: medium description, product weight, instruction sheets and products images (both 2D and 3Ds).
• Work closely with both the technical team in charge of product development and the Schneider web team. Some of these assets are delegated to subcontractors hence you’ll have to supervise their efficiency to avoid budget wasting and make sure that deliverables are published on time.
• Be a key actor in the creation of a safe and high-quality product by leading the quality process preventing customers to make mistakes when using our products.
• Drive the creation of exciting commercial assets enabling our sales colleagues to successfully convert new customers: customer presentations, leaflets, training content, video
• Work with Schneider advertisement expert teams, giving you a wider exposition while letting you discover even more workings of the big Schneider machine.

What qualifications will make you successful?

• Degree qualification in Engineering or its equivalent disciplines
• 5 years’ experience in electronics or electromechanics for products used in an automation system
• Basic project management
• Strong communication skills and collaboration spirit, required to influence and motivate various stakeholders: internal C&S teammates, Global Marketing, subcontractors.
• Rigor, dynamism, and proactivity will help you deliver accurate content, drive your colleague into respecting the deadlines and enable you to create to ways to improve the efficiency of the marketing team.
• Curiosity & willingness to keep learning & challenging oneself.
• Comfortable managing several topics in parallel
• Open to multi-cultural and multi-disciplinary environments.

Position Title:Site Document Controller/Site Clerk
Vacancies: 1
Salary Range: SGD 3000-4000/month

Job Requirements:
• Experience: At least 1 year of relevant work experience;
• Language Skills: Proficiency in Chinese communication;
• Other Skills: Familiarity with engineering project documentation management processes and proficiency in common office software (such as Word, Excel, PPT) and project management software.

Job Responsibilities:
• Responsible for organizing, archiving, maintaining, and updating various construction project documents;
• Assist the project manager in collecting, organizing, and inputting on-site documents to ensure accuracy;
• Prepare and review project progress reports, construction records, quality inspection reports, and other related documents;
• Participate in project acceptance and summaries, providing relevant documentation support;
• Assist the team in document review and approval processes to ensure compliance with project standards.

Work Location:
229 Mountbatten Road #02-05 Mountbatten Square Singapore (398007)

Site

Benefits:
• Medical insurance
• Paid annual leave
• Year-end bonus

Application Method:
Interested candidates, please send your resume to [email protected], indicating the position you are applying for.

职位名称: 资料员

招聘人数: 1名
薪资范围: 3000-4000元/月

职位要求：
• 经验要求： 一年以上相关工作经验；
• 语言能力： 具备中文沟通能力；
• 其他要求： 熟悉工程项目资料管理流程，能够使用常见办公软件（如Word、Excel、PPT）及项目管理软件。

岗位职责：
• 负责工地各类工程资料的整理、归档、保管及更新；
• 协助项目经理进行现场资料的收集、整理与录入，确保资料准确无误；
• 编制和审核工程进度报告、施工记录、质量检查报告等相关文件；
• 参与项目验收及总结，提供相关资料支持；
• 协助团队做好资料审核与审批工作，确保项目符合规范要求。

工作地点：
229 Mountbatten Road #02-05 Mountbatten Square Singapore (398007)

施工现场

福利待遇：
• 医疗保险
• 带薪年假
• 年终奖金

申请方式：
有意者请将简历发送至 [email protected]，并注明申请职位。

My Client is a Singapore head quartered global company that provides Big Data & Analytics solutions on the Cloud using a SaaS model that harnesses poly-structured data from myriad sources at the right latency, derives Insights and converts Insights to appropriate business Actions. They have a strong team of Data Scientists and Domain Experts who provide Consulting and Managed Services to realise business benefits using Big Data.

What you'll do:

• Responsible for meeting revenue targets leveraging own contacts, lead generation activities and alliance partners
• Manage the opportunity from sales pursuit to close using deep sales process and offering expertise. Act as point of contact for resolution and escalation of all the key items with the client and internally.
• Target the right clients, grow quality pipeline, win profitable deals, and manage sales activities to create mutually beneficial, trust-based relationships that create value.
• Generate and build client relationships leading to qualified opportunity identification and involvement throughout the sales cycle, often without an existing client relationship or opportunity.
• Create a direct relationship with the owner or decision-makers of enterprise companies in Singapore.
• Interact with senior management levels at a client, which involves negotiating or influencing significant matters.

What we look for in you!

• Minimum of 5 years experience selling Cloud (IaaS or PaaS) and/or analytics services.
• Possess any of the cloud fundamentals certifications
• Have sold deals of data warehousing, analytics solutions
• Have positioned winning strategy development and value proposition development
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills

Desired Candidature

• Has prior experience in leading and closing multi-year deals.
• Having some prior experience in selling cloud services-based data warehousing or analytics/ data science solutions.
• Ability to identify a client problem statement and craft a value proposition that provides specific outcomes addressing the client's problem.
• Ability to provide solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of organizational objectives.
• Ability to originate new opportunities.

Job Overview

We are seeking a highly skilled and motivated Data Operations Engineer to join our Data Solution team with focus on Commodity Trading, Logistics, Risk Management and Storage. The ideal candidate will be responsible for the development, deployment, and maintenance of our data pipelines and infrastructure, ensuring seamless data ingestion, transformation, and ongoing operations. You will work closely with data engineers, data scientists, and business stakeholders to ensure data quality, reliability, and performance.

Duties and Responsibilities

1. Data Ingestion and Transformation:

• Design, develop, and maintain data ingestion processes using Azure Data Factory, Azure Functions, and Logic Apps in close alignment with the DevOps team.
• Implement and manage data transformations using Databricks and Delta Live Tables, including the DLT-Framework.
• Develop and optimize ETL processes to ensure data is ingested, transformed, and stored effectively.

2. Maintenance and Operations:

• Monitor and maintain data pipelines to ensure continuous and reliable data flow.
• Troubleshoot and resolve issues related to data ingestion, transformation, and storage.
• Implement and manage automation tools to improve operational efficiency and reduce manual intervention.
• Ensure the scalability and performance of the data infrastructure.

3. Automation and Monitoring:

• Automate data workflows and processes to improve efficiency and reduce manual intervention.
• Implement & operate CI/CD pipelines
• Implement monitoring and alerting systems to ensure data pipeline reliability and performance.

4. Collaboration and Communication:

• Work closely with data engineers, data scientists, and business stakeholders to understand data requirements and operate or deliver solutions.
• Provide technical support and guidance to team members and stakeholders.

5. Data Quality and Governance:

• Implement data quality checks and validation processes to ensure data integrity.
• Adhere to data governance policies and best practices.

Qualifications

Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.

Experience

Proven experience of at least 4 years as a Data Operations Engineer or similar role ideally within an agile delivery work environment.

Skill and Competencies

- Strong technical skills in a cloud environment, including:

• Azure Data Factory, Azure Functions, and Logic Apps
• Databricks and Delta Live Tables, including the DLT-Framework
• Programming languages such as Python, SQL, and Scala
• CI/CD pipelines and DevOps best practices
• Familiarity with data governance and data quality best practices

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills in a hybrid- and remote Team-Setup.

- Previous experience in the field of commodity trading or banking with a focus on (credit-) risk management, product control, or trading itself is a big plus.

If you meet the qualifications and are interested in this opportunity, please submit your application via "Apply Now". We look forward to reviewing your credentials.

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, 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

Nuverse is a gaming business unit in ByteDance. The Game Technology team is playing a significant role in the whole life cycle of the game. We are responsible for the development, testing, operation, SRE, and quality assurance of the user and operating system, and give strong support for game developing and publishing. Providing comprehensive and systematical solutions, support the good operation and commercialization of the game. Responsible for the design and implementation of the deployment architecture of the game's overseas game business, and ensuring the good operation of online services.

Job Description:

1. Participate in the construction and operation and maintenance of offline and real-time data warehouses for game business;

2. Participate in the optimization of the data ETL process and solve ETL-related technical problems;

3. Participate in data governance work under complex data link dependencies and multi-data content ecology;

4. Relying on ByteDance's big data solutions, quickly implement data solutions in the business.

Qualifications

Minimum Qualifications：

1. Bachelor's degree or above in computer-related majors, with more than 4 years of big data-related work experience;

2. Master most of the big data-related technologies such as Hive, Yarn, Spark, Flink, Kafka, HBase, understand their principles and be able to complete performance tuning;

3. Proficient in using HQL, and master at least one of Python, Java, Scala, and GO;

4. Familiar with the Linux operating system and proficient in Shell programming;

5. Be proactive at work and be able to independently analyze and solve problems;

6. Be responsible, have good communication skills and teamwork ability;

Preferred Qualifications:

1. Experience in the gaming industry or managing platform-type internet products will be an advantage.

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 enrich life. 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.

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!