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}

Siemens is a technology company focused on industry, infrastructure, mobility, and healthcare innovation. With a strong presence globally and in the Philippines, Siemens combines the real and digital worlds to help customers accelerate digital transformation, improve sustainability, and create smarter solutions for industries and communities. Through innovative technologies in electrification, automation, and digitalization, Siemens empowers organizations to drive efficiency and shape a more sustainable future.

Siemens

You'll make a difference by:

<ul>
	<li>Providing Level 2 technical support for mission-critical applications, troubleshooting and resolving complex system issues during the maintenance and support phase in collaboration with internal technical teams and customers.</li>
	<li>Testing and validating system updates, supporting pre- and post-release testing of application, software, and firmware updates to ensure stability and performance.</li>
	<li>Investigating and resolving incidents and defects, conducting root cause analysis and implementing fixes to minimize operational disruption.</li>
	<li>Communicating technical findings and progress clearly to customers, ensuring transparency on issue status, resolution timelines, and corrective actions.</li>
	<li>Monitoring system health and performance, identifying risks proactively and supporting customers in maintaining system reliability.</li>
	<li>Assessing and coordinating support ticket escalation, prioritizing and collaborating with internal teams to resolve issues based on business impact.</li>
</ul>

 

Your defining qualities:

<ul>
	<li>Strong foundation in IT systems and infrastructure, with a degree in IT, Computer Science, Engineering, or equivalent hands-on experience.</li>
	<li>3–5 years of hands-on experience in Linux environments, including troubleshooting and system administration.</li>
	<li>3–5 years of experience working with SQL and databases, with the ability to support data analysis and issue resolution.</li>
	<li>Familiarity with virtualization and infrastructure technologies, such as VMware, servers, storage, firewall, and networking environments.</li>
	<li>Experience working in a structured technical support or service environment, managing tickets within defined service levels.</li>
	<li>Customer-oriented and adaptable mindset, with strong communication skills and willingness to support after-hours or on-call when required.</li>
</ul>

Systems Application Engineer: 1 Year Contract

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}

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

B4B Solutions Inc. is operating under the Clear Admin People brand, an outsourcing company based in Makati City. We offer remote admin services to business owners (dentists, labour hire operators, accounting firm, etc) in any states/territories in Australia. 

We call ourselves admin people because we put people first. We are invested in having a positive impact on everyone’s lives. 

Our management team is dedicated to empowering you to grow personally and professionally to be the very best you can be for years to come in an environment where the best idea wins, no matter where it comes from.

We also place great emphasis on characteristics rather than qualifications. We have established a recruitment framework called 6-Tool players to ensure we work with excellent people.

A 6-tool player possesses these six characteristics: Adult, Professional, Smart, Empathetic, Competitive, and has an insatiable Thirst for Learning.

B4B Solutions Inc.

Clear is looking for a Data Processor to work with our client, a UK-based start-up building a data-driven platform.

Role and Opportunity 

Your new role is to support the capture, processing, and structuring of reputation-related data across the client’s platform. While elements of the platform will be automated over time, the early stages require human-led data collection, validation, tagging, and preparation.

As part of the client’s “Data Collective,” you will focus on executing defined workflows to ensure data entering the platform is accurate, complete, and consistently structured. This role plays an important part in supporting the quality of downstream advisory and intelligence outputs.

Purpose

As a Data Processing Associate, you will:

<ul>
	<li>Support the accurate capture and processing of platform data</li>
	<li>Ensure data is complete, consistent, and correctly formatted</li>
	<li>Follow established workflows and quality standards to maintain data integrity</li>
</ul>

Your daily tasks may include:

<ul>
	<li>Pull data from designated sources such as news articles, reports, social media, and public information</li>
	<li>Extract relevant data points based on predefined criteria</li>
	<li>Clean, validate, and organise raw data into required formats</li>
	<li>Apply standard tagging and classification rules (e.g. sentiment, issue type, stakeholder group)</li>
	<li>Perform basic quality checks and flag inconsistencies or gaps</li>
	<li>Upload processed data into the client’s platform</li>
	<li>Track daily and weekly processing targets and follow process checklists</li>
	<li>Collaborate with team members during calibration and review cycles</li>
	<li>Contribute to team efforts and perform other data related tasks as requested by the client or assigned by management</li>
</ul>

Data Processor

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

MAKE YOUR BEST CAREER MOVE YET!

Join one of the fastest growing tech companies in the Philippines. Get to enjoy a fun-filled work culture that empowers you to do your best work!


ABOUT US

Sprout Solutions is a software-as-a-service (SaaS) company that aims to deliver the best automated HR and payroll solutions for the Philippines. We want to help all types of businesses grow with our suite of cloud-based HR and payroll software to streamline and simplify processes.

Here at Sprout, we want people who are driven to make things better than they were before. We desire individuals who are brave and courageous to bring positive change, no matter how small or big it is. We are committed to revolutionize the Philippine economy by building world-class software with the power of local talent.


SPROUT CULTURE

Sprout’s mission is to transform the way HR works in emerging markets. As a company, we want to help the Philippines move forward through technology, doing what we do best. Despite that, we’re proud to say that Sprout has one of the most fun work cultures in the country!

We love getting things done, while also having some fun in between. Be part of an agile startup that is young, energetic, and committed to helping the Philippines move forward.


FUN THINGS WE DO

Weekly fun things:
Being fit and healthy is a top priority at Sprout! Healthy lunch Mondays, Muay Thai Tuesdays and Thursdays, Wellness Wednesdays – these are the things we do every week! We also have sports programs like basketball and badminton, as well as weekly free massage and Zumba sessions for all employees. We’re also proud to have a CEO who’s also a professional Muay Thai fighter – how cool is that?

Sproutings (Sprout Outings):
Here at Sprout we prioritize our employees’ well-being – that’s why we go on trips outside the city twice a year to unwind, relax, and bond together. All of us work hard for most of the year, which is why we love to explore the outdoors and chill out whenever we can!

Monthly gatherings:
To celebrate our company milestones and career achievements, we gather around every month over food and drinks. There’s a different theme every month which brings out talent and creativity in everyone!

--

JOIN US TODAY!

We’re excited to know you and see how you fit with Sprout!

Send in your application and we’ll get back to you soon. :)

Sprout Solutions

Job Scope

<ul>
	<li>Be the main point for daily data questions from internal teams</li>
	<li>Turn unclear business problems into measurable data requests</li>
	<li>Extract and analyze data using SQL and reporting tools</li>
	<li>Create dashboards that help teams track performance easily</li>
	<li>Coordinate and follow up on complex data requests until completed</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

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>

Sr. Data Engineer

LeapFroggr Inc. is a technology company that operates SeriousMD & NowServing. Together, SeriousMD & NowServing is a healthcare platform, whose sole mission is to "improve healthcare through technology."

Our company culture revolves around excellence, family and community, cooperation and sharing.

LeapFroggr Inc.

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Senior Data Scientist

About Ylopo

Ylopo, LLC is a rapidly growing marketing and technology company providing internet marketing services and proprietary lead generation and engagement software to successful real estate agents across the country. We are seeking an outgoing, tech savvy individual to join our growing team.

Why work for Ylopo?

At Ylopo we offer team members:

A full time, permanent work from home set up

A commitment to personal development
guidance and support at a high level through interfacing with our Executive Team to prioritize goals as a company,

Excellent leadership and mentoring for our entry-level to senior staff, and recognition of outstanding efforts,

Team building events, team lunches/ happy hours, and other company wide events

A supportive, caring environment dedicated to continuous learning and growth.
With over a decade of experience in the real estate industry Howard is now back alongside Juefeng Ge, former head of digital marketing for TigerLead and now co-founder and Chief Marketing Officer of Ylopo, to leverage the latest and most effective technological advancements in the field to help Ylopo’s clients generate more business and better promote their team, brand, and listings.

Ylopo LLC

The Data Feed Coordinator is responsible for coordinating the various components of Ylopo’s IDX data feed integrations, including compliance, billing, and reporting. This team member will correspond with various members of MLS boards and may interact with clients and/or brokers on occasion. This role will be email and phone based. This role reports to Erin Druskbasky [MLS Operations Manager].

Team members well-suited to this role will have a track record of being client-focused and providing exceptional service, both internally and externally within an organization. Attention to detail and exceptional organizational skills are a must. This role requires excellent communication skills, both through email/tickets and over the phone. Candidates do not have to have prior experience working at real estate, software or marketing companies, but should be willing to learn the intricacies of the Ylopo product and the nuances and compliance requirements of the many MLS boards we partner with. Most importantly, we’re looking for candidates who are quick-thinking, detail-oriented, patient, positive, and thoughtful.

 

Responsibilities:

<ul>
	<li>Manage IDX paperwork and reporting for Ylopo clients to ensure compliance with MLS boards</li>
	<li>Maintain existing documentation and build new documentation (Google Sheets/Docs/Excel Spreadsheets) based on internal organization of MLS boards and their related IDX feeds</li>
	<li>Review and report IDX feed technical issues to MLS boards and vendor contacts</li>
	<li>Respond (via phone/email/text) to all client and/or MLS board requests in a timely manner (2 hour TAT) to provide a high level of customer support</li>
	<li>Speak confidently and professionally with MLS board representatives, clients, and brokers</li>
	<li>Complete special projects and outbound calls as needed</li>
	<li>Serve as subject matter expert for Ylopo MLS/IDX data feed process</li>
	<li>Learn the ins and outs of Ylopo product</li>
</ul>

 

Specific Tasks:

<ul>
	<li>Review the daily IDX feed support queue; respond to tickets or assign tickets to appropriate team member for response</li>
	<li>Own IDX paperwork for various processes (e.g. brokerage change, domain name change, new IDX feed requests, license transfers)</li>
	<li>Follow up with MLS board(s) for paperwork approval</li>
	<li>Coordinate with billing team on IDX/MLS fees for various boards</li>
	<li>Manage responses related to IDX/MLS issues in internal slack channels</li>
	<li>Audit monthly/quarterly client lists for MLS compliance</li>
</ul>

Data Feed Coordinator

Clear is looking for a Senior Data Processing Analyst to work with our client, a UK-based start-up building a data-driven platform. 
 
Role and Opportunity

Your new role is to support the delivery of high quality, insight-ready data across the client’s platform while providing quality oversight to the wider Data Collective. This role handles more complex data scenarios and supports the development, calibration, and consistency of data processing workflows.

As the platform evolves, this role will play a key part in ensuring data accuracy, contextual judgement, and reliability, while supporting junior team members and improving processing standards.

Senior Data Processor

Our culture and everyday life at DHL are defined and powered by two key things: our people and the values we share. These values have a crucial role to play in the continued success of our business. What’s more, they help make DHL an empowering and rewarding place to build your career and realize your potential, develop new skills, and make an impact. This is your future, delivered.

WE DELIVER THE DIFFERENCE
Purpose and innovation are at the heart of our business. We are fully aware that it’s our job to help you make a difference in somebody’s life. Not just the lives of our customers and colleagues, but to communities around the world too. We’re delivering that difference by changing the way we work through harnessing the latest technology, embracing digitalization, and focusing on sustainability. At DHL, driving market success also means driving positive change. This is something we are all very proud of. And if you join us, you will be too. 

WE CARE
And that means everyone – in every team, at every level. So, what does it mean to care? We believe it means creating a friendly work environment, where an inclusive workforce with different skills, experiences, and viewpoints come together as one, work-oriented global team. Caring also means taking corporate social responsibility seriously and being committed to diversity, equity, and belonging.  We share the same mindset, we celebrate the unique contribution everyone brings, and we respect one another.

WE GROW TOGETHER
We never forget it’s our people who make us who we are. That’s why career development, where everyone can shine, matters to us. We provide a secure employment environment – giving our colleagues the time, freedom and a culture that encourages colleagues to think long-term by offering growth opportunities, professional training, and development programs in different areas of the business. We want you to build a rewarding, lifelong career with us.

DHL Express (Philippines) Corporation

<ul>
	<li>Prepare shipment records (or files) for customs clearance entry by ensuring that the information available in the shipment record reflects the available data to DHL (in DHL systems, including CIA images, and Customer Database Records).</li>
	<li>Assist with general administrative duties related to customs clearance such as the printing, collation, distribution and filing of customs clearance-related documentation.</li>
	<li>Assist in preparing, printing, collating, and distributing customs documents for clearance processing</li>
	<li>Support BTO shipment documentation and coordinate handover to brokers</li>
	<li>Validate and correct shipment data to ensure compliance with regulatory formats and requirements</li>
	<li>Verify shipment details against commercial documents and customer instructions</li>
	<li> Ensure accurate recording of multi-commodity shipments</li>
	<li>Create shipment records/files for missing or over-landed shipments using available documents</li>
	<li>Assign and distribute shipment records to appropriate teams for clearance processing</li>
	<li>Escalate incomplete or special-case shipments to Clearance Support Group for resolution</li>
	<li>Perform filing and archiving of cleared shipment documents</li>
	<li>Coordinate with internal departments (NCG, warehouse, accounting) and external agencies (Customs)</li>
	<li>Provide administrative and operational support as required by supervisors</li>
	<li>Demonstrate ability to influence processes and support decision-making despite no direct authority</li>
</ul>

Kalibrr Job Search

Data Architect [Data Lakehouse]

Data Engineer {Data Governance}

Systems Application Engineer: 1 Year Contract

Data Architect {Data Landscape & Lakehouse}

Data Analyst

Data Processor

Data Engineer

Data Analyst

Data Encoder

Lead Data Engineer

Sr. Data Engineer

Senior Data Scientist

Data Feed Coordinator

Senior Data Processor

Data Administration Agent