Total 4,575 data entry job vacancies

Job Description

We are seeking an experienced Lead Data Integration & ETL Engineer to design, develop, and support enterprise-scale data integration solutions for banking and financial services clients.

The successful candidate will lead technical delivery teams, provide architectural guidance, and ensure the successful implementation of ETL and data warehousing solutions using modern data technologies.

Key Responsibilities

• Lead the design and development of ETL/Data Integration solutions.
• Manage end-to-end data migration and integration projects.
• Work closely with business stakeholders, architects, and project managers.
• Develop and optimize ETL processes using Talend and other data integration tools.
• Ensure data quality, governance, and compliance standards are met.
• Provide technical leadership and mentoring to junior team members.
• Support production deployments and resolve technical issues.
• Participate in solution design, code reviews, and best practice implementation.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related discipline.
• Minimum 12 years of experience in Data Integration, ETL, and Data Warehousing.
• Strong hands-on experience with Talend ETL.
• Experience with SQL, Oracle, Hadoop, Spark, Hive, or related Big Data technologies.
• Experience in Banking or Financial Services domain is preferred.
• Strong analytical, problem-solving, and communication skills.
• Experience leading technical teams and managing project deliverables.

Kickstart your marketing career with hands-on experience and structured training!

We are seeking a motivated and enthusiastic Event and Marketing Associate to join our team in Singapore. This is an entry-level position suitable for individuals who are keen to develop a career in marketing and gain hands-on experience in campaign execution and customer engagement.

Training and mentorship will be provided to support your professional development.

1️⃣ Key Responsibilities

• Support the planning and execution of marketing campaigns
• Engage with customers to promote brand awareness and campaign objectives
• Work closely with team members to ensure smooth campaign operations
• Contribute ideas during team discussions and campaign brainstorming sessions
• Monitor and provide feedback on campaign performance and customer responses
• Develop communication and interpersonal skills through on-the-job experience

2️⃣ Qualifications and Skills

• No prior experience required; training will be provided
• Good communication and interpersonal skills
• Positive attitude with a proactive mindset and willingness to learn
• Able to work both independently and in a team

3️⃣ What We Offer

• Structured training and onboarding programme
• Mentorship and guidance from experienced team members
• Opportunities for skills development and career progression
• Exposure to different marketing campaigns and projects

4️⃣ Additional Information

• Position Type: Full-Time
• Location: Singapore

Only shortlisted candidates will be notified.

Role Summary 

The CSA Cost Manager will be responsible for delivering full lifecycle cost management services for the Civil, Structural & Architectural (CSA) packages on a large‑scale data centre development.

This role focuses on ensuring cost certainty, commercial control, and value optimisation across complex base‑build works, including substructure, superstructure, building envelope, and architectural elements. You will work in a fast‑paced, mission‑critical environment, collaborating closely with project teams, consultants, and contractors.

Key Responsibilities

Cost Planning & Pre‑Contract Management

• Prepare and manage cost estimates, feasibility studies, and detailed cost plans for CSA works.
• Provide cost advice during design development on structural systems, construction methods, and architectural elements.
• Benchmark costs and identify value engineering opportunities to optimise project outcomes.

Procurement & Tendering

• Prepare tender documentation and commercial deliverables for CSA trade packages.
• Manage tender processes including pre‑qualification, tender analysis, evaluation, and recommendations.

Post‑Contract Cost Management

• Manage change control processes, including variation assessments and cost impact analysis.
• Review and certify contractor progress payments.
• Monitor cost performance and maintain accurate forecasts and records.
• Support final account negotiation and project close‑out.

Reporting & Financial Control

• Prepare regular cost reports, forecasts, and financial updates.
• Identify cost risks, trends, and mitigation measures.
• Ensure alignment with project budgets and financial governance requirements.

Stakeholder Coordination

• Work closely with Project Managers, consultants, contractors, and client representatives.
• Participate in design, coordination, and site meetings, providing commercial input for CSA scope.
• Coordinate closely with MEP teams to ensure integrated project delivery.

Governance & Risk Management

• Ensure compliance with project governance, procedures, and reporting standards.
• Identify and manage project cost risks proactively.
• Maintain transparency and accuracy in all cost management deliverables.

Role Overview:
We are looking for a Principal Systems Analyst, Data Platform to support the stability, modernisation, and continuous improvement of enterprise data platforms. The role will oversee data platform operations, release management, performance monitoring, service improvement, and governance across data warehousing, ETL pipelines, analytics environments, and cloud-based platforms.

The successful candidate will play a key role in driving platform modernisation, including cloud adoption, AI-driven automation, CI/CD implementation, and scalable analytics solutions. This role will also provide technical leadership, mentor team members, and work closely with stakeholders to ensure data platforms remain secure, reliable, compliant, and aligned with business needs.

Key Responsibilities:
1) Operations & Service Management

• Oversee the stability, scalability, and reliability of enterprise data platforms.
• Ensure smooth integration of data warehousing, ETL pipelines, and analytics environments.
• Act as the subject matter expert for troubleshooting and resolving complex data platform issues.
• Monitor platform performance, availability, and capacity to identify and mitigate operational risks.

2) Service Improvement & Strategy

• Evaluate existing data platform capabilities and recommend improvements to enhance performance and efficiency.
• Drive modernisation initiatives, including cloud-native services and AI-driven automation.
• Align data platform strategy with organisational goals for digital transformation and advanced analytics.
• Identify opportunities to improve platform operations, automation, governance, and user adoption.

3) Release, Change, Performance & Availability

• Manage release cycles, upgrades, and change requests across data platform components.
• Implement and support CI/CD pipelines to streamline deployments and reduce downtime.
• Monitor platform performance, availability, and capacity trends.
• Proactively identify risks and recommend improvements to platform resilience and reliability.

4) People & Technical Leadership

• Provide technical leadership and mentorship to analysts, engineers, and consultants supporting the data platform.
• Collaborate with cross-functional teams to ensure platform solutions meet business and operational needs.
• Lead stakeholder workshops and training sessions to improve data literacy and platform adoption.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

5) Governance, Risk & Compliance

• Ensure compliance with data governance frameworks, privacy regulations, and industry standards.
• Establish and maintain documentation, audit trails, and policies for platform operations and automation workflows.
• Identify and mitigate risks relating to data integrity, platform reliability, security, and compliance.

Requirements:

• Strong experience in systems analysis, SQL, data warehousing, data platforms, and business intelligence tools.
• Hands-on experience with BI tools such as Qlik, Tableau, or Power BI.
• Proficiency in Python, machine learning concepts, and MLOps practices for scalable analytics solutions.
• Experience with RPA tools such as UiPath and Microsoft Power Platform, including Power Automate, Power Apps, and Microsoft Fabric.
• Strong understanding of ETL, data modelling, and data governance frameworks.
• Exposure to CI/CD pipelines and cloud data platforms such as Azure Synapse, AWS Redshift, or Google BigQuery.
• Excellent communication, stakeholder management, and data storytelling skills.
• Healthcare domain experience will be advantageous.
• PMP or Scrum Master certification will be advantageous.
• Experience in AI/ML-driven automation and advanced analytics use cases will be advantageous.

Preferred:

• Healthcare domain experience
• PMP or Scrum Master certification
• Experience in AI/ML-driven automation and advanced analytics use cases

Python Developer / Lead (Data Projects) [Contract]

Location: Singapore
Contract Type: 12-Month Contract (Renewable)
Keywords: Python, Data Engineering, API Development, Financial Applications, Asset Management, Cloud

Role Overview:

This is an opportunity within a leading investment technology environment, focused on delivering data-driven applications and integration solutions across trading and portfolio management platforms. The successful candidate will play a key role in modernizing legacy systems, enhancing automation and analytics workflows, and building scalable Python-based solutions to support investment decision-making and operational efficiency.

Key Responsibilities:

• Design, develop, and maintain Python-based applications for asset management.
• Work on data processing, automation, and analytics for investment and trading teams.
• Develop and maintain APIs for data integration and system interoperability.
• Collaborate with quants, portfolio managers, and analysts to develop technology-driven solutions.
• Support and enhance existing applications built with .NET (C# or VB.NET) as needed.
• Optimize code performance and ensure scalability for large datasets.
• Implement cloud-based solutions (AWS, Azure, or GCP) for enhanced performance.
• Ensure compliance with financial industry security and regulatory standards.

Key Requirements:

• 5+ years of experience as a Python Developer, preferably in the financial or asset management industry.
• Strong knowledge of Python frameworks such as Django, Flask, or FastAPI.
• Good understanding of data structures, algorithms, and object-oriented programming (OOP).
• Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB).
• Background in other technologies is a plus.
• Familiarity with financial instruments, risk modeling, and asset management concepts.
• Knowledge of DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure, or GCP).
• Understanding of financial data providers (Bloomberg, Reuters, FactSet).
• Knowledge of big data technologies (Spark, Hadoop) is an advantage.

If this role aligns with your experience and career goals, please apply to this role

Shaping the Future of Regional Infrastructure: We Are Hiring

In the world of massive data scaling, the true challenge lies in bridging the gap between brilliant initial infrastructure design and long-term, unyielding operational resilience.

We are expanding our regional technical powerhouse. Reporting directly to the Head of Technical and Solutions, these roles are positioned to drive regional project delivery, cross-border operations, and global site evaluations.

If you are a visionary engineer ready to scale mission-critical facilities across Singapore, Malaysia, and the wider region, we want you on our team.

Lead Mechanical Engineer (Core & Reliability)

As the Lead Mechanical Engineer, you will drive the architectural design, implementation, and lifecycle reliability of thermal management systems across our regional data center footprint. You will ensure that our mechanical infrastructure—from initial site concept to live, active operations—meets stringent uptime Service Level Agreements (SLAs) while seamlessly supporting high-density, next-generation client requirements.

Key Responsibilities

• Design & Architecture: Spearhead and oversee the design of advanced thermal management systems, with a specialized focus on integrating liquid cooling architectures and high-density air-cooling solutions. You will develop standardized, modular mechanical blueprints that allow for concurrent maintainability, continuous cooling, and seamless capacity scaling without disrupting live operations. Additionally, you will evaluate and select mechanical equipment (chillers, CDUs, CRAC/CRAH units) based on efficiency, scalability, and long-term reliability.

• Reliability & Lifecycle Engineering: Embed Design-for-Reliability (DfR) principles into all mechanical designs and deployments, conducting extensive Failure Mode and Effects Analysis (FMEA) during the design and delivery phases. You will establish predictive maintenance frameworks utilizing telemetry and Building Management System (BMS) data to preempt mechanical degradation and optimize PUE/WUE. Following any mechanical anomalies, you will lead the post-incident lifecycle once root cause analysis (RCA) is established, ensuring findings are integrated into future system designs.

• Strategic & Cross-Functional Support: Provide deep technical validation and engineering support for complex client deployments and operations teams, particularly in high-density markets like Singapore. You will partner closely with design and delivery teams in Malaysia to ensure on-the-ground mechanical construction and operations align perfectly with design tolerances and multi-phase schedules. Furthermore, you will assess mechanical viability, environmental compliance, and local climate constraints across the region.

What You Bring

• A Bachelor’s or Master’s degree in mechanical engineering. A Professional Engineer (PE) or Chartered Technologist certification is highly preferred.

• Min 10 years of extensive experience in mission-critical infrastructure design and operations, specifically within large-scale data center environments.

• Demonstrated expertise in computational fluid dynamics (CFD), flow network modeling (FNM), liquid cooling systems, and advanced HVAC configurations.

Why Join Us?

• Be part of an expanding regional data centre platform backed by a reputable energy & infrastructure group.

• Gain exposure to hyperscale deals, JV structures, cross-border assets and high-value investments.

Send your resume in to:

Our client, a global technology leader specializing in search, digital platforms, cloud computing, and data-driven innovation, is seeking a Financial Data Analyst/Product Analyst to support financial reporting and analytics through data extraction, SQL scripting, and reporting automation. This role will focus on generating and transforming large financial datasets, building SQL-based reporting solutions, and delivering actionable insights to support business and finance stakeholders.

This is a fixed term contract ending on the 14 Dec 2026 with possibilities for extension thereafter

Responsibilities

• Extract, validate, and analyze financial data from databases, data warehouses, and ERP systems using SQL.
• Write and maintain SQL scripts to support reporting, data analysis, and financial insights.
• Interpret financial and operational data to identify trends, risks, and business opportunities.
• Build and maintain dashboards and reports using BI tools such as Looker, Tableau, or Power BI.
• Support recurring financial reporting, ad-hoc analysis, and reporting automation initiatives.
• Partner with Finance and cross-functional teams to ensure data accuracy and deliver actionable insights.

Requirements

• Up to 6 years of experience in Financial Analysis, Product Analytics, FP&A Analytics, Financial Data Analytics, Business Intelligence, or related roles.
• Advanced SQL skills with the ability to independently write and optimize complex queries and scripts.
• Strong analytical skills with the ability to interpret data and translate findings into business recommendations.
• Strong financial domain knowledge with experience analyzing P&L, revenue, costs, budgets, or financial performance metrics.
• Proven experience extracting and working with large datasets from platforms such as BigQuery, Snowflake, SAP, Oracle, or similar.
• Experience with Excel and BI tools such as Looker, Tableau, or Power BI.

As a Senior Data Engineer, you will be working on:

• Translate data requirements from business users into technical specifications.

• Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

• Build out data product as part of a data team:

• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

• Construct, test, and update useful and reusable data models based on data needs of end users.

• Design and build secure mechanisms for end users and systems to access data in data warehouse.

• Research, propose and develop new technologies and processes to improve agency data infrastructure.

• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures. • Maintain data catalogue to document data assets, metadata and lineage.

• Implement data quality checks and validation processes to ensure data accuracy and consistency.

• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

• Experience with Databricks.

• Experience in designing, building, and maintaining batch and real-time data pipelines.

• Experience with orchestration frameworks such as Airflow, Azure Data Factory.

• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

• Familiarity with DevOps tools such as Docker, Git, Terraform.

• Experience with implementing technical processes to enforce data security, data quality, and data governance.

• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

• Experience in Climate and Weather domains will be an advantage.

This will be a 2-years direct contract position.

Responsibilities

• Data science developments.
• Lead project scoping discussions.
• Translate complex business requirements into technical solutions.
• Design, implement, and optimise end-to-end ML/AI solutions with improved performance and scalability.
• Systematically benchmark and evaluate multiple approaches, applying advanced techniques to solve complex business problems.
• Architect scalable solutions using cloud-based services and best practices, and design and implement robust data pipelines and LLM/MLOps workflows that improve efficiency and reduce operational costs.
• Deploy models to production environments with comprehensive monitoring, alerting, and maintenance procedures.
• Champion responsible AI practices, proactively identifying and mitigating ethical and governance risks.
• Collaborate with peers and stakeholders to ensure tasks are executed effectively, addressing minor conflicts constructively and respectfully, and suggesting improvements that enhance team effectiveness.

Requirements

• Bachelor's degree or higher in Data Science, Computer Science, Statistics, Economics, Quantitative Social Science, or related disciplines. Minimum 2 years of relevant experience in data science and/or public sector.
• Able to business use cases into analytical problems and identifying appropriate data sources.

Proficient in

• Writing scripts for data preparation and analysis, using modern analysis tools and programming methodologies.
• cleaning, imputing, and correcting anomalies in the collected structured or unstructured data.
• Exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.
• Building machine learning models to identify, recognise patterns, and make predictions.
• Design principles and use of visualisations to best convey the intended information.
• Developing data visualisation from standalone graphs and charts on to highly customised tools and apps while tightly integrated into the data systems for real time visualisation of information.
• Translating results from analysis of work into actionable recommendations for stakeholders.
• Communicating results and business impact from analysis work in a coherent data story for stakeholders.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

Key Responsibilities

• Develop and implement data analytics solutions to convert raw structured and unstructured data into meaningful insights.
• Apply data mining, data modeling, machine learning, and natural language processing (NLP) techniques to solve business challenges.
• Design and maintain scalable data pipelines, ETL processes, and data platforms to ensure data quality, accessibility, and reliability.
• Build dynamic dashboards, reports, and visualizations to communicate key findings and support decision-making.
• Establish data governance frameworks, data standards, metadata management, and asset catalogs to improve data consistency and compliance.
• Collaborate with cross-functional stakeholders to deliver data-driven solutions and optimize business processes.
• Evaluate emerging AI technologies and implement innovative solutions that enhance operational efficiency and business performance.

Preferred Qualifications

• Master's degree or above in Computer Science, Data Science, Engineering, Statistics,  Business Analytics or a related field.
• Proven experience in Data Engineering, Data Analytics, Machine Learning, AI Applications, or Data Governance.
• Strong proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.
• Experience building ETL pipelines, data lakes, APIs, and large-scale data platforms.
• Solid understanding of machine learning, predictive analytics, data modeling, and NLP techniques.
• Excellent analytical, problem-solving, and stakeholder management skills.

Interested candidate please click "APPLY" to begin your job search journey.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Responsibilities

• Create UI/UX design styles, reusable design systems, components and design tokens
• Conduct user acceptance testing
• Assist with user tracking and support
• Assist in implementing features for internal web applications and educational technology tools
• Build out front-end components and integrate back-end workflows
• Review AI-generated code snippets
• Undertake any other ad hoc duties as assigned

Requirements

• Proficient in data analysis, advanced Excel tools

Interested applicants please email your resume to meganng@recruitexpress.com.sg
Megan Ng Su Ting (CEI No.: R23115059)
Recruit Express Pte Ltd
EA Licence No: 99C4599
*** We regret that only shortlisted candidates will be contacted.

• Manage Lockout/Tagout (LOTO) procedures and ensure compliance across all contractors.
• Act as the primary liaison between construction, commissioning, and operations teams regarding energy safety.
• Review and approve energy isolation plans and permits.
• Conduct field inspections and audits to ensure adherence to safety protocols.
• Stop unsafe work practices and enforce OSHA and NFPA 70E standards.
• Monitor and report on energy usage and performance metrics.
• Validate mechanical and electrical system performance during commissioning.
• Assist in implementing energy-saving strategies and sustainability best practices.
• Maintain detailed records of energy control activities and compliance metrics.
• Train and mentor teams on electrical safety and energy isolation procedures.

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

Get to Know the Team

The Integrity team is dedicated to safeguarding our users on Grab. We are building a centralized, unified Risk and Compliance technology platform using Grab's proven risk and compliance tech, GrabDefence. We use our datasets and advanced AI capabilities to address critical challenges, from ensuring safety and preventing fraud to achieving regulatory compliance. We are involved in the entire data lifecycle, including analyzing user behavior, identifying financial crime anomalies, and developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to the Senior Analytics Manager in the Integrity team, you will be a key analytics partner in operationalizing the Unified Risk Platform that manages risk across the Grab Ecosystem. You will conduct deep-dive analysis on user behaviors, product funnels, and transaction patterns to identify potential risks and new fraud typologies on our partner platforms. Your data-driven insights will directly guide the design of risk detection strategies, the optimization of shared AI/Machine Learning models, and the implementation of crucial risk controls to safeguard a diverse user base from multiple types of fraud and financial crime.

This role is based onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will be the subject matter expert in using data to analyze fraud loss, business/product performance, and the effectiveness of risk controls across different Grab business verticals.
• You will lead the identification of new fraud and risk patterns, developing data-driven rules and strategies to address potential risks using advanced methods like Graph-Based Detection.
• You will conduct statistical analyses to ensure the accuracy and efficiency of detection systems, maintaining data and rule integrity.
• You will architect automated self-serve capabilities for stakeholders to monitor key risk metrics, attack patterns, and the efficiency of fraud/AML detection systems.
• You will collaborate with Grab business teams to support data extractions, audits, and compliance requirements, ensuring all necessary data is provided for assessments.
• You will conduct experiments to evaluate the effectiveness of risk controls and recommend improvements based on findings.

Key Responsibilities:

- Engage with consumers to promote the brand.

- Educate potential customers about the brand’s products/services

- Maintain a positive and professional brand image at all times.

Requirements & Skills:

- Outgoing, friendly, and confident

- Strong verbal communication and active listening skills.

- Comfortable working in different environments/people

Compensation & Benefits:

- Competitive weekly pay

- Flexible work schedules.

- Opportunity for growth within the company.