
Talento Solutions Inc. is a Philippine-based, full-service workforce solutions provider committed to helping organizations build high-performing teams through innovative, scalable, and compliant human capital solutions.

We specialize in delivering end-to-end recruitment and workforce management services that enable businesses to attract, hire, deploy, and retain exceptional talent while improving operational efficiency and ensuring compliance with Philippine labor regulations.



Talento Solutions Inc.

Oracle is a boutique BPO company servicing Australian clients seeking an experienced Administration Officer to support recruitment, employee relations, administration, and staff compliance while working closelywithmanagement to maintain a positive and productive workplace.

<ul>
	<li>Manage day-to-day administrative functions across multiple offices.</li>
	<li>Coordinate with Australian management regarding contracts, staff communications, attendance, medical clearances, and other administrative matters.</li>
	<li>Maintain employee records, documentation, and staff files (201).</li>
	<li>Oversee employee onboarding and ensure compliance requirements are completed.</li>
	<li>Support employee relations and policy implementation.</li>
	<li>Prepare and manage documentation, including notices, warnings, and other employee correspondence.</li>
	<li>Monitor attendance and staff adherence to company policies.</li>
	<li>Supervise and support the Administrative and Compliance Assistant.</li>
	<li>Coordinate with recruitment providers and oversee the recruitment process from requisition to onboarding.</li>
	<li>Assist management with staff performance and general office operations.</li>
</ul>

Candidates must be residing in Makati City, Mandaluyong City, Taguig or surrounding areas.

HR Admin Officer

Founded in 1987, Questronix Corporation has grown to be one of the largest IT solution provider and systems integrator in the Philippines. We offer best of breed solutions from IT infrastructure to business applications, built on world class technology companies and supported by our certified technical team with proven Filipino expertise and skills available in the country today.

In 1990, Questronix was appointed by IBM as its first business partner for IBM UNIX platform and the company evolved in providing end-to-end solutions that run on IBM technology. After a decade of investment, skills and commitment in working with IBM, Questronix was awarded the Premier Business Partner status, making our company the first Business Partner in the country to be elevated to this exclusive circle.

Our methodology on selecting our technology partners and implementation team for our services ecosystem allows us to deliver consulting-led systems integration focused on open standards, interoperability and proven best practices that result in higher project success rates.

Today, Questronix’s solutions suite include Data Center & IT infrastructure, IT Service Management, Security, Business Continuity, Hybrid Cloud Solutions, Mobility Solutions, Enterprise Resource Planning, Business Analytics, Enterprise Asset Management, Enterprise Content Management, Information and Data Management, Business Process Management and Industry Specific Solutions.

Approaching its 34th year in business, Questronix Corporation continuously strives to improve and evolve coupled by its enduring drive to deliver Filipino excellence and workmanship to its clients. As such, it has earned prestigious awards and recognitions – a proud testimony to its achievements that have firmly etched its name in the IT corporate landscape.

Questronix Corporation

Job Description:

<ul>
	<li>Design, develop, maintain, and execute automated test scripts for Mobile and API.</li>
	<li>Develop reusable automation frameworks and test components to improve test coverage and execution efficiency.</li>
	<li>Automate functional, regression, integration, API, and end-to-end testing activities.</li>
	<li>Integrate automated test suites with CI/CD pipelines to support continuous testing and deployment processes.</li>
	<li>Analyze automated test results, investigate failures, and coordinate with development teams to resolve identified defects.</li>
	<li>Maintain test automation scripts and frameworks as application functionality and requirements evolve.</li>
	<li>Participate in test planning, requirements review, code review, and Agile/Scrum ceremonies.</li>
	<li>Prepare automation reports, test execution results, defect documentation, and other QA artifacts.</li>
	<li>Identify opportunities to improve test coverage, reduce manual testing effort, and increase overall software quality</li>
</ul>

Test Automation Engineer

Job Description:

<ul>
	<li>Develop and maintain mobile applications using React Native based on approved business and technical requirements.</li>
	<li>Build reusable, scalable, and maintainable front-end components following established development standards and design guidelines.</li>
	<li>Integrate applications with RESTful APIs, backend services, authentication mechanisms, and third-party services.</li>
	<li>Perform unit testing, debugging, performance optimization, and resolution of application defects.</li>
	<li>Participate in code reviews, technical discussions, Agile ceremonies, and collaboration with Business Analysts, UX/UI Designers, Backend Developers, QA Engineers, and Solution Architects.</li>
	<li>Support application deployment, production issue investigation, and post-deployment validation as required.</li>
	<li>Prepare and maintain technical documentation, source-code documentation, and development-related artifacts.</li>
	<li>Follow the client's security, coding, SDLC, change-management, and deployment standards.</li>
</ul>

ReactNative Developer

Job Description:

<ul>
	<li>Design, develop, maintain, and enhance backend applications and enterprise services using Java and Spring Boot.</li>
	<li>Develop scalable RESTful APIs and microservices supporting business and enterprise application requirements.</li>
	<li>Integrate backend services with databases, external systems, messaging platforms, APIs, and third-party services.</li>
	<li>Implement application security, authentication, authorization, validation, logging, error handling, and secure coding practices.</li>
	<li>Perform unit testing, integration testing, debugging, performance optimization, and defect resolution.</li>
	<li>Participate in technical design discussions, code reviews, Agile ceremonies, and solution implementation activities.</li>
	<li>Support application deployment, production troubleshooting, incident resolution, and root-cause analysis.</li>
	<li>Prepare technical documentation, API specifications, deployment documentation, and other required SDLC artifacts.</li>
</ul>

Java Developer | Springboot

<ol>
	<li style="display: block;"> </li>
	<li>Collect, clean, and preprocess data from various sources to ensure accuracy and consistency.</li>
	<li>Perform exploratory data analysis to identify trends, patterns, and correlations.</li>
	<li>Develop and maintain dashboards, reports, and visualizations to communicate key insights to stakeholders.</li>
	<li>Collaborate with stakeholders to define business requirements and develop analytical solutions to address their needs.</li>
	<li>Conduct statistical analysis and predictive modeling to support decision-making processes.</li>
	<li>Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis and visualization.</li>
	<li style="display: block;"> </li>
</ol>

Data Analyst | Emerging Technologies

Peroptyx is a provider of location-based machine learning (ML) training data and model evaluation solutions to leading global consumer technology brands.

Customers benefit from unique data security and identity innovations which minimise bias and errors in ML training data and model evaluation solutions delivered from 26 countries.

The Peroptyx platform integrates personalized authentication, onboarding, use-case education, performance analytics and compensation experiences for its global community of domain expert data analysts - who ensure Peroptyx always delivers higher quality training data and feedback to accelerate ML model performance improvement.

Peroptyx Data Annotation and Model Evaluation solutions are designed for Product and Data Science leaders who place high fidelity, location-based training data at the heart of their AI.

Peroptyx Limited

For thousands of years, maps have provided humans with the knowledge they need to make decisions. As a Maps Evaluator, you will have the opportunity to provide ground truth for your town, city or country.

At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications. Your research capabilities will validate and ensure that the navigation of certain routes are accurate and safe.

As part of this role, you will verify that business names and opening hours are correct. You will check that the distance from a starting point to an end destination is listed accurately, resulting in better user experiences.

With this job you can plan your days around this highly flexible working schedule, work weekends or late evenings, all from the comfort of your own office. The flexibility of our roles minimizes the impact on your daily routine. So, whether you are a student looking to earn as you learn, a retiree looking for a new challenge, a part-time/full time professional or a work from home parent, Peroptyx has the right role for you!

Benefits:

<ul>
	<li>Work up to 20 hours per week.</li>
	<li>Earn a competitive rate of pay.</li>
	<li>Develop your research skills.</li>
	<li>Avoid the long commute.</li>
	<li>Work from the comfort of your home office.</li>
	<li>Enjoy the flexibility of setting your own working hours!</li>
</ul>

Apply Online Today!

This is a freelance, independent contractor position.

Data Analyst No Experience Required

NCS Philippines, in partnership with Globe and part of the NCS Group, a leading Asia-Pacific technology services firm and subsidiary of the Singtel Group, is a workplace where people and innovation come together to create meaningful impact. 

Employees at NCS Philippines work on a wide range of projects across digital, data, cloud, platforms, and cybersecurity, supporting enterprises and government agencies in solving real-world challenges. With access to NCS’ regional network of over 15,000 professionals across 55 specialisations, teams gain valuable exposure to global best practices while contributing to local impact. 

The company fosters a culture rooted in collaboration, continuous learning, and growth. Employees are empowered to expand their capabilities, explore emerging technologies, and build solutions that go beyond technical delivery – creating tangible value for clients and communities. 
Through strong partnerships, a diverse talent base, and opportunities for regional collaboration, NCS Philippines enables their people to grow their careers while being part of something bigger: advancing communities through technology and shaping the future of digital innovation.



NCS Philippines Inc. 

We are seeking a Data Architect to design, govern, and evolve our enterprise data landscape with a strong focus on modern data lakehouse architecture. This role is responsible for building scalable, secure, and analytics-ready data platforms that support reporting, advanced analytics, and AI/ML initiatives. The ideal candidate combines strategic architectural thinking with deep hands-on experience in cloud-based data ecosystems.

Key Responsibilities 
 
Data Architecture &amp; Platform Design

Define and own the enterprise data architecture and target-state data landscape

Design and implement data lakehouse architectures supporting structured and unstructured data

Lead modernization from legacy data warehouses to lakehouse-based platforms

Establish architecture standards, patterns, and best practices

Data Integration &amp; Processing

Architect batch and real-time data ingestion pipelines

Design scalable data processing frameworks using distributed compute

Integrate data from transactional systems, APIs, and third-party sources

Ensure data reliability, performance, and cost efficiency

 
Governance, Quality &amp; Security

Define and enforce data governance, quality, and lineage standards

Architect secure data access models including role-based access control

Ensure data privacy and regulatory compliance through design

Implement metadata management and auditing capabilities

 
Analytics Enablement

Enable BI, analytics, and AI/ML workloads through optimized data models

Support self-service analytics and standardized semantic layers

Partner with data engineers, analysts, and business stakeholders

 
Technical Leadership

Provide architectural guidance and design reviews

Mentor data engineers and technical teams

Translate business requirements into scalable data solutions

Data Architect  [Data Lakehouse]

<ul>
	<li>Provides expert knowledge of master data in support of Business, Operations, and Technology teams. </li>
	<li>Manages change control processes and systems related to Formula Control. </li>
	<li>Manages processes to maintain current and historical formulation and raw material information files. </li>
	<li>Develops standards, guidelines, and processes to consistently address master data issues such as data standards and data synchronization</li>
	<li>Develops procedures and processes in compliance with current identified and ISO standards while maintaining the integrity and security of the formulations.</li>
	<li>Provides expert knowledge of master data in support of Business, Operations, and Technology teams.</li>
	<li>Develops standards, guidelines, and processes to consistently address master data issues such as data standards and data synchronization.</li>
	<li>Supports in driving efforts for the adoption of the Data Governance policies, master data management principles and policies and their implementation, work closely with different teams to drive adoption, and overcome individual and organizational resistance to change.</li>
	<li>Contributes to research and efforts to understand and document how data should be best managed and used in the MDM based on laws and best practices</li>
	<li>Works with data owners when issues are escalated</li>
	<li>Evaluates escalated issues for potential solutions to resolve</li>
	<li>Determines if an unresolved issue requires further escalation</li>
	<li>Works with all resources to ensure that business rules are implemented properly to support business needs</li>
	<li>Other job-related activities that may be assigned from time to time.</li>
</ul>

Data Engineer {Data Governance}

We are seeking a Senior Data Architect to design, govern, and evolve our enterprise data landscape with a strong focus on modern data lakehouse architecture. This role is responsible for building scalable, secure, and analytics-ready data platforms that support reporting, advanced analytics, and AI/ML initiatives. The ideal candidate combines strategic architectural thinking with deep hands-on experience in cloud-based data ecosystems.

Key ResponsibilitiesData Architecture &amp; Platform Design

Define and own the enterprise data architecture and target-state data landscape

Design and implement data lakehouse architectures supporting structured and unstructured data

Lead modernization from legacy data warehouses to lakehouse-based platforms

Establish architecture standards, patterns, and best practices 
 

Data Integration &amp; Processing

Architect batch and real-time data ingestion pipelines

Design scalable data processing frameworks using distributed compute

Integrate data from transactional systems, APIs, and third-party sources

Ensure data reliability, performance, and cost efficiency

 
Governance, Quality &amp; Security

Define and enforce data governance, quality, and lineage standards

Architect secure data access models including role-based access control

Ensure data privacy and regulatory compliance through design

Implement metadata management and auditing capabilities

 
Analytics Enablement

Enable BI, analytics, and AI/ML workloads through optimized data models

Support self-service analytics and standardized semantic layers

Partner with data engineers, analysts, and business stakeholders

 
Technical Leadership

Provide architectural guidance and design reviews

Mentor data engineers and technical teams

Translate business requirements into scalable data solutions

Data Architect  {Data Landscape & Lakehouse}

General Responsibilities:

The Data Engineer will focus on using various methods to design and implement an overall data infrastructure that will support current and future business needs. The data engineer is also tasked in creating data pipelines that transform raw data for analytical and operational processes.

Duties and Responsibilities:

-Design and build scalable big data infrastructure and solutions, leveraging available cloud resources 
-Design, create and maintain ETL processes and data pipelines for functions such as but not limited to reporting and machine learning 
-Collaborate with different cross functional teams to determine and satisfy business data requirements taking into account various technology stacks 
-Optimize and automate existing current business processes and procedures 
-Create and present ad hoc reports to key stakeholders

Data Engineer

Job Description:

<ul>
	<li>Design, develop, and maintain data integration and ETL processes using IBM DataStage based on business and technical requirements.</li>
	<li>Develop, optimize, and maintain ETL jobs for extracting, transforming, and loading data across enterprise systems and databases.</li>
	<li>Design and optimize database queries, data structures, and data processing solutions using Oracle Database 19c.</li>
	<li>Perform data validation, troubleshooting, performance tuning, and error handling to ensure data accuracy, integrity, and reliability.</li>
	<li>Monitor and support scheduled ETL jobs, investigate data processing issues, and implement appropriate corrective action</li>
</ul>

The ATR Asset Management Group (ATRAM or ATRAM Group) operates through ATR Asset Management, Inc. (ATRAM MF) and the ATRAM Trust Corporation (Formerly Maybank ATR Kim Eng Capital Partners, Inc. - Trust).
 
In 2009, the ATRAM Group decided to expand its presence in the fast-growing domestic asset management industry by forming a dedicated business group called ATR Asset Management Group (ATRAM or ATRAM Group).  This group, comprised of ATRAM MF  and ATRAM - Trust, manages portfolios consisting of mutual funds, trust assets, insurance portfolios, and real estate for proprietary and third party clients.

Why join us?

We are the leading Digitally-powered Asset and Wealth Management ﬁrm serving institutional clients and retail customers,  providing innovative products and unique customer experiences delivered through technology-enabled platforms. Our goal is to secure our clients’ ﬁnancial future
 
ATRAM offers a professional, fair and progressive work environment. In addition, ATRAM strongly supports career development and work-life balance for its employees.

ATR Asset Management (ATRAM)

<ul>
	<li>Ensure accurate and timely transaction processing by preparing settlement instructions, client acknowledgements, proofs of payment, bank enrollment forms, and consolidated payment schedules; handling KYC documentation and LOI filing; and coordinating with branches and banks for submissions, approvals, and document pick‑ups.</li>
	<li>Maintain complete and organized data and records through consistent uploading, tracking, and filing of all transaction documents (ARs, proofs of withdrawal, SSIs, etc.) in required systems such as JIRA, ensuring data integrity and easy audit retrieval.</li>
	<li>Strengthen process quality, compliance, and risk controls by adhering to regulatory and company policies, proactively minimizing errors that could lead to penalties, and contributing to ongoing process improvement initiative</li>
</ul>

Data Encoder

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

General Responsibilities:

The Lead Data Engineer is responsible for designing, developing, and optimizing data infrastructure to ensure reliable pipelines, scalable architecture, and high-quality data for analytics and business needs. The role includes leading a team of data engineers, collaborating with cross-functional stakeholders, and implementing best practices in data transformation, validation, governance, and cloud-based solutions.

Duties &amp; Responsibilities:

<ul>
	<li>Lead and mentor a team of data engineers, fostering collaboration, innovation, and continuous improvement.</li>
	<li>Define and enforce data engineering standards, coding practices, and architectural guidelines.</li>
	<li>Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.</li>
	<li>Design and maintain high-performance ETL/ELT pipelines and workflows.</li>
	<li>Build and optimize data lake, data warehouse, and streaming data solutions.</li>
	<li>Ensure systems support structured, semi-structured, and unstructured data sources.</li>
	<li>Develop data transformation and preparation processes to deliver clean, reliable, analytics-ready datasets.</li>
	<li>Implement validation, anomaly detection, and automated quality checks to ensure accuracy and consistency.</li>
	<li>Define and execute data remediation strategies to resolve issues with minimal business disruption.</li>
	<li>Implement and manage cloud-based data platforms (AWS, Azure, or GCP).</li>
	<li>Apply modern frameworks (e.g., Spark, Kafka, Airflow, DBT) for efficient data processing.</li>
	<li>Oversee data modeling, schema design, and database optimization (SQL/NoSQL).</li>
	<li>Ensure accuracy, consistency, and availability of data across platforms.</li>
	<li>Implement governance, lineage, validation frameworks, and security best practices.</li>
	<li>Monitor, troubleshoot, and optimize pipelines to meet SLAs and performance benchmarks.</li>
	<li>Stay current with emerging data engineering and analytics technologies.</li>
	<li>Recommend improvements to systems, tools, and processes to enhance scalability, reliability, and quality.</li>
	<li>Other job-related activities that may be assigned from time to time</li>
</ul>

Lead Data Engineer

First Datacorp (FDC) has proudly served the industry for over 40 years, delivering innovative and world-class solutions and services across various domains. Our expertise spans Modern Workplace, Infrastructure Modernization, Data and AI, Customer Experience, Governance and Risk Management, Enterprise Automation, and Enterprise Security.

Our vision is to be the foremost Filipino Information Technology company creating and delivering innovative and world-class solutions and services for the Philippines and beyond.

We believe that a strong IT governance and information backbone is key in our goal to improve and grow our clients’ businesses. As an Information Technology partner with a successful track record and a long-term vision, we can provide the building blocks in shaping your adaptive and agile business.

We are a team of highly qualified professionals with world-class IT technologies to help address your business challenges.

First Datacorp

This is a project-based role with a full onsite work set up in Makati City.

Perform Data Center Operations such as physical checking of all devices to check if there are unusual alerts (amber, red blinking), temperature, humidity, fire alarm, ups and other assets inside the Data Center and UPS room

Perform daily health checks of the following per defined schedules and produce status reports in the defined formats:

Data Center

Security

File Server

RPA Bot

Test Call

Network

Meraki Bandwith (Branches)

Apps/Web

Job Tracker

Windows Scheduled Tasks

Windows Services

System Utiliization

Monitor the performance and capacity of computer systems (including hardware, software, network and telephony connectivity, telco provider and environmental alerts or malfunctions) using a variety of tools to ensure efficient performance. This includes main (data center and other pertinent areas) and branch offices (data cabinet and other devices), disaster recovery facility, and cloud-hosted systems.

Monitor system availability and performance of local and regional core and digital applications, including the components such as but not limited to SQL jobs, task schedulers, APIs, alerts, windows services.

Monitor all data center assets and data cabinets in branches for tracking information.

Configure monitoring setup of computer systems and components, including addition and deletion of managed endpoints in monitoring systems.

Perform daily health checks as per defined schedules and produce status reports in the defined formats.

Perform issue analysis and troubleshooting of detected issues and alerts, following the standard operating procedures provided by the higher level of support (with possibility to shift left to ITOC).

Data Center Operator

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group. 
 
Duties &amp; Responsibilities:

<ul>
	<li>Develops automated data pipelines based on recommended solution by Data Engineering Lead using official ETL tools determined by Data Engineering Head</li>
	<li>Creates automated data pipeline design documentation, Source-to-Target spreadsheets, and technical design specifications.</li>
	<li>Provides technical expertise, troubleshoots, guides and supports during design, development, testing, production and post-production.</li>
	<li>Understands the source system, captures and documents business rules.</li>
	<li>Analyzes and proposes changes to maximize code reusability and maintain business value.</li>
	<li>Develops, implements and maintains highly efficient and scalable automated data pipeline processes.</li>
	<li>Provides expert technical knowledge and solutions pertaining to Data integration.</li>
	<li>Identify opportunities to optimize the automated data pipeline including environment setup, implement monitoring, quality and validation processes to ensure data accuracy and integrity.</li>
	<li>Provides inputs into data governance organization to drive the data governance charter.</li>
	<li>Ensures compliance to internal standards and guidelines.</li>
	<li>Conducts unit testing and component integration testing for solutions developed</li>
	<li>Reviews business and technical requirements and ensures the data integration platform meets requirements.</li>
	<li>Applies industry best practices for automated data pipeline design and development.</li>
	<li>Implementation of an end-to-end complex automated data pipeline system using common Big Data Tools such as (but not limited to) Apache Spark, Talend, Kafka, Airflow, NiFi i and Hadoop Tools.</li>
	<li>Implements monitoring and measurement of data quality as defined by business rules.</li>
	<li>Ensures adherence to architectural governance standards and practices.</li>
	<li>Develops best practices, standards of excellence, and guidelines for programming teams.</li>
	<li>Ensures compliance to the DevSecOps practice.</li>
	<li>Conducts System Testing - execute job flows, investigate system defects, resolve defects and document results</li>
	<li>Provides a level of effort estimates for new initiatives and change controls in order for projects to be evaluated, budgeted and tracked for success.</li>
</ul>

Kalibrr Job Search

HR Admin Officer

Test Automation Engineer

ReactNative Developer

Java Developer | Springboot

Data Analyst | Emerging Technologies

Data Analyst No Experience Required

Data Architect [Data Lakehouse]

Data Engineer {Data Governance}

Data Architect {Data Landscape & Lakehouse}

Data Engineer

Data Engineer

Data Encoder

Lead Data Engineer

Data Center Operator

Sr. Data Engineer