Total 3,963 job vacancies in Singapore

This role is required to design and build high volume backend data processing systems for Razer’s Artificial Intelligence (AI) gaming products. The ideal candidate is responsible for developing and implementing data pipelines, data storage systems, and backend application software, while working closely with frontend engineers, data scientists, and machine learning engineers to enable Gen AI capabilities.

Essential Duties and Responsibilities

• Design and implement data systems that enable the organization to store, process, and analyze large volumes of data. This involves developing data pipelines, designing scalable data processing systems in support of Gen AI capabilities.
• Manage data lakes, knowledge bases, and application databases. This involves creating and managing table schemas, views, materialized views, including tokenization techniques for Gen AI.
• Develop and templatize data pipelines that enable high volume extract, transform, and load operations from various sources – particularly API-based or web-based data ingestion.
• Design, develop, and maintain highly performant, scalable, and robust backend systems and server-side logic - including maintenance and optimization of backend infrastructure for changing product requirements.
• Collaborate with data scientists and machine learning engineers to understand the data needs of various stakeholders across the organization and integrate appropriate solutions.

Requirements

• Ability to work in fast paced, high pressure, agile environment.
• Ability and willingness to learn and apply new technologies
• Strong in programming languages such as Python, SQL.
• Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers, container orchestration platforms like Kubernetes
• Experience in system design and building scalable, high concurrency user applications
• Familiarity with a wide variety and genres of video games, and the gaming industry in general.
• Excellent with various data processing techniques (streaming, batch, event-based), managing and optimizing data storage (Data Lake, Vector Data Stores and Database, SQL, and NoSQL) is essential.
• Excellent problem-solving and analytical skills, with an understanding of Gen AI technologies and their applications
• Experience using orchestration tools like Airflow or Prefect is preferred
• Excellent written and verbal communication skills for coordinating across teams.
• Experience and Interest to keep up with the advancement in the Data Engineering Field
• Has a Bachelor's or Master’s degree in computer science or similar discipline.

Job Responsibilities:

• Data Analysis & Trend Identification:

  • Analyze large datasets to identify key trends, patterns, and correlations across the BreadTalk Group.

  • Provide data-driven insights to help the leadership team make informed decisions and define strategic directions for the business.

• BTGR Data Management:

  • Take ownership of managing and analyzing BTGR data, focusing on member profiles, demographic analysis, divisional sales, transaction counts, SKU performance, and store performance.

  • Ensure data accuracy and consistency across all data touchpoints.

• Strategic Recommendations:

  • Work closely with the brand and management teams to deliver strategic recommendations based on data analysis.

  • Assist in determining the right strategic moves for various brands within the BreadTalk Group, based on insights gained from data.

• Data Extraction & Reporting:

  • Extract, consolidate, and analyze data from multiple sources and systems, ensuring data integrity.

  • Generate comprehensive reports for stakeholders, addressing data discrepancies and ensuring accurate, timely reporting.

• Cross-Departmental Collaboration:

  • Collaborate with various departments (Marketing, Finance, Operations, etc.) to ensure alignment of data insights with business needs.

  • Assist teams in improving business processes through data-driven decision-making.

• Customer Service Analytics:

  • Analyze customer service data to identify areas for improvement, enhancing service quality and customer satisfaction.

Job Requirements:

• Education: Diploma/Bachelor’s degree in Data Science, Statistics, Business Analytics, or a related field.

• Experience: Candidates with relevant internship experience are welcome to apply. 0-2 years of experience in data analysis, business intelligence, or a related role, preferably in retail, F&B, or a similar industry.

• Technical Skills:

  • Proficiency in data analysis tools (e.g., SQL, Excel, Python, R, or similar).

  • Experience with data visualization tools (e.g., Tableau, Power BI).

  • Strong knowledge of data management and reporting processes.

• Soft Skills:

  • Strong analytical and problem-solving skills.

  • Excellent communication and presentation skills.

  • High attention to detail and accuracy in reporting.

  • Ability to work collaboratively with cross-functional teams.

Other: Knowledge of customer analytics and sales performance metrics is a plus.

About the Job

We are seeking a skilled and detail-oriented Data Engineer to design, develop, and maintain robust data pipelines and ETL solutions. This role involves working closely with cross-functional teams to ensure data quality, scalability, and alignment with business and technical requirements.

• Design, develop, test, and maintain scalable ETL pipelines to meet business, technical, and user requirements.
• Collect, refine, and integrate new datasets. Maintain comprehensive documentation and data mappings across multiple systems.
• Create optimized and scalable data models that align with organizational data architecture standards and best practices.
• Drive continuous improvement in data quality through optimization, testing, and solution design reviews.
• Ensure all solutions conform to big data architecture guidelines and long-term roadmap.
• Implement robust monitoring, logging, and alerting systems to ensure pipeline reliability and data accuracy.
• Apply best practices in data engineering to design and build reliable data marts within the Hadoop ecosystem for planning, reporting, and analytics.
• Maintain and optimize data pipelines to ensure data accuracy, integrity, and timeliness.
• Manage code in a centralized repository with clear branching strategies and well-documented commit messages.
• Coordinate with stakeholders to ensure smooth production deployment and adherence to data governance policies.
• Proactively identify and implement improvements to data engineering processes and workflows.
• Develop end-to-end solutions for data modeling in the data warehouse, including data acquisition, contextualization, and integration with business processes.
• Ensure adherence to development standards and perform periodic reviews to maintain pipeline performance and sustainability.
• Coordinate and conduct testing with stakeholders to ensure effective deployment of data pipelines and dashboards.
• Serve as the primary data engineering contact at the stakeholder location, ensuring clear communication and alignment on priorities
• Monitor data pipelines continuously and collaborate with stakeholders to troubleshoot and optimize performance.
• Leverage domain knowledge in insurance to design data models and pipelines that support business processes and analytics.
• Work closely with business stakeholders to understand requirements and translate them into scalable data engineering solutions.

We are looking for people who

• Diploma with at least 10 years’ working experience, preferably in Life Insurance
• Proven experience in data engineering, ETL development, and big data technologies
• A strong team player who is meticulous, detail-oriented, and capable of performing under pressure
• Proficiency in tools and platforms such as Hadoop, Spark, Hive, and cloud data services (e.g., AWS, Azure, GCP).
• Possesses strong problem-solving and interpersonal skills.
• Committed, dependable, and adaptable with the flexibility to support during peak periods and tight deadlines
• Demonstrate high integrity, accountability, and a collaborative mindset
• Takes initiative to improve current state of things and embrace change

How you succeed

• Champion and embody our Core Values in everyday tasks and interactions.
• Demonstrate high level of integrity and accountability.
• Take initiative to drive improvements and embrace change.
• Take accountability of business and regulatory compliance risks, implementing measures to mitigate them effectively.
• Keep abreast with industry trends, regulatory compliance, and emerging threats and technologies to understand and highlight potential concerns/ risks to safeguard our company proactively.

Who we are

Founded in 1908, Great Eastern is a well-established market leader and trusted brand in Singapore and Malaysia. With over S$100 billion in assets and more than 16 million policyholders, including 12.5 million from government schemes, it provides insurance solutions to customers through three successful distribution channels – a tied agency force, bancassurance, and financial advisory firm Great Eastern Financial Advisers. The Group also operates in Indonesia and Brunei.

The Great Eastern Life Assurance Company Limited and Great Eastern General Insurance Limited have been assigned the financial strength and counterparty credit ratings of "AA-" by S&P Global Ratings since 2010, one of the highest among Asian life insurance companies. Great Eastern's asset management subsidiary, Lion Global Investors Limited, is one of the leading asset management companies in Southeast Asia.

Great Eastern is a subsidiary of OCBC, the longest established Singapore bank, formed in 1932. It is the second largest financial services group in Southeast Asia by assets and one of the world’s most highly-rated banks, with an Aa1 rating from Moody’s and AA- by both Fitch and S&P. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Data Centre Engineer (1-Year Contract)

Company: Leading Banking Institution
Location: Singapore
Employment Type: 1-Year Contract (Completion Bonus Provided)
Work Schedule: 24x7 Environment (On-call rotation required)

Role Overview

We are seeking an experienced Data Centre Facilities Engineer to support and maintain critical infrastructure within a high-availability banking environment. This role is pivotal in ensuring the reliability, security, and operational efficiency of the data centre.

Key Responsibilities

• Monitor and maintain critical data centre infrastructure, including power systems (UPS, generators), HVAC, fire suppression, and structured cabling
• Coordinate with building landlords and vendors to ensure timely preventive maintenance and compliance with safety standards
• Respond to system alarms, troubleshoot issues, and drive prompt resolution
• Support after-hours activities, including on-call duties and emergency response
• Ensure adherence to data centre physical security policies and procedures
• Follow incident management processes, track issues to closure, and provide timely updates to stakeholders
• Prepare management reports including performance metrics, incident summaries, and root cause analysis
• Support ongoing operational improvements and infrastructure-related projects

Key Requirements

• Minimum 5 years of experience in data centre facility management
• Proven experience in 24x7 high-availability environments (on-call support required)
• Strong knowledge of:Electrical systems (UPS, generators)HVAC systemsFire suppression systems
• Familiarity with structured cabling and rack-and-stack activities is an advantage
• Good understanding of ITIL-based incident, problem, and change management
• Strong troubleshooting and problem-solving skills
• Excellent communication and stakeholder management abilities
• Mandatory: Prior experience in data centre operations within a financial institution

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

Location: CBP

Key Responsibilities

Workforce Reporting & Analytics

• Prepare and maintain regular headcount/ workforce reports

• Consolidate data from multiple sources into clear management-ready views.

Staffing & Resource Management

• Coordinate end-to-end staffing requests including new hires, renewals, and replacements, ensuring completeness and data accuracy.

• Track and maintain staffing approvals, reviews and key initiatives, and follow up with stakeholders on outstanding actions.

Governance & Process

• Ensure staffing requests comply with approved demand–supply plans, budget controls, and internal guidelines.

• Documentation of staffing processes, templates, and changes.

• Highlight risks, exceptions, and data gaps for PMO and management attention.

Stakeholder Coordination

• Liaise with multiple stakeholders e.g. hiring managers, finance on all workforce-related matters.

• Support preparation of materials for governance forums and management approvals.

Skills & Experience

• Strong Excel skills (data consolidation, pivots, structured reporting).

• Good attention to detail with ability to manage large datasets accurately.

• Clear written and verbal communication skills.

• Ability to manage multiple requests and deadlines in a structured manner.

• 4–7 years of PMO, workforce/ resource management, or similar operational support experience.

• Prior experience in technology or large enterprise environments preferred.

Registration No. / Unique Entity Number: 199801439D

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

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

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