20 jobs in KCC Malls

Data Engineer (Cloud & Modern Data Stack Focus)

Job Summary

We are looking for a technically skilled and forward-thinking Data Engineer to strengthen our cloud-based analytics and data platform capabilities. This role will focus on designing, building, and optimizing scalable pipelines and transformation workflows within a modern data stack, with Google Cloud Platform, dbt, and Airbyte experience considered strong advantages.

This position is critical in helping build and scale a modern cloud-native data environment, ensuring that data is ingested, transformed, validated, and delivered accurately and efficiently. You will work closely with business stakeholders, Analytics Engineers, IT, and DevOps teams to improve the reliability, usability, and scalability of core analytical and operational data.

Key Responsibilities

• Design, develop, and maintain data pipelines and transformation workflows within cloud-based analytics environments.
• Build and manage reliable ELT pipelines that move data from operational systems, APIs, files, and third-party platforms into centralized cloud reporting and analytics environments.
• Work closely with teams supporting Google Cloud Platform and modern data stack tools to understand source structures, business logic, and reporting dependencies.
• Develop and optimize SQL queries and transformation logic for data processing, reconciliation, modeling, and validation.
• Support the integration of source systems into the broader enterprise cloud data architecture. Collaborate with Analytics Engineers to ensure scalable, reusable, and future-proof data models.
• Investigate data discrepancies, reconcile mismatches, and troubleshoot issues related to ingestion, transformation, and reporting outputs.
• Maintain clear technical documentation covering pipeline logic, source mappings, dependencies, and operational procedures.
• Contribute to data quality and governance efforts by helping define control points, validation checks, testing standards, and reconciliation logic.
• Design, manage, and provision IAM roles and access policies across cloud data platforms to ensure secure, controlled, and compliant access to datasets, pipelines, and supporting services.

Skills / Competencies

• Strong SQL skills, including joins, aggregations, transformations, performance tuning, and troubleshooting.
• Hands-on experience with ELT development across cloud-based analytics environments.
• Experience working with cloud data warehouses, ingestion tools, and transformation frameworks.
• Good understanding of data structures, modular transformation logic, and pipeline design.
• Familiarity with Google Cloud Platform / BigQuery / dbt / Airbyte / Dataform is a strong advantage.
• Ability to understand how raw source data should be transformed and modeled for reporting and analytics.
• Strong analytical and problem-solving skills with high attention to detail.
• Good communication skills and the ability to work across technical and business teams.
• Comfortable working in environments where automation, standardization, and scalability are as important as coding.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
• 3+ years in data engineering, ELT development, cloud analytics engineering, or modern data platform environments.
• Strong working knowledge of SQL and cloud-based data warehouses.
• Experience with Google Cloud Platform, BigQuery, or similar cloud data platforms.
• Experience with dbt, Airbyte, Dataform, or related modern data stack tools is a strong plus.
• Experience in retail, finance, supply chain, e-commerce, or other operationally intensive industries is advantageous.

Data Engineer (On-Premise & ERP Integration Focus)

Job Summary

We are looking for a technically strong and solution-oriented Data Engineer to support the integration, transformation, and operationalization of data from on-premise systems into our broader analytics environment. This role will focus on enterprise source systems, legacy databases, and operational reporting structures, with Oracle ERP knowledge considered a strong advantage.

This position is critical in helping bridge traditional enterprise systems and modern reporting needs, ensuring that data is extracted, transformed, validated, and delivered accurately and efficiently. You will work closely with business stakeholders, Analytics Engineers, MIS, and ERP-focused teams to improve the reliability, usability, and scalability of core operational data.

Key Responsibilities

• Design, develop, and maintain data extraction and transformation processes from on-premise systems, databases, and enterprise applications.
• Build and manage reliable ETL/ELT pipelines that move data from operational systems into centralized reporting and analytics environments.
• Work closely with teams supporting Oracle ERP and other enterprise applications to understand source structures, business logic, and reporting dependencies.
• Develop and optimize SQL queries, stored procedures, and transformation logic for data processing, reconciliation, and validation.
• Support the integration of legacy and on-premise systems into the broader enterprise data architecture.
• Collaborate with Analytics Engineers to ensure source-aligned, scalable, and future-proof data models.
• Investigate data discrepancies, reconcile mismatches, and troubleshoot issues related to extraction, transformation, and reporting outputs.
• Maintain clear technical documentation covering source mappings, transformation logic, interfaces, and operational procedures.
• Contribute to data quality and governance efforts by helping define control points, validation checks, and reconciliation standards.

Skills / Competencies

• Strong SQL skills, including joins, aggregations, stored procedures, performance tuning, and troubleshooting.
• Hands-on experience with ETL/ELT development across on-premise or hybrid environments.
• Experience working with enterprise source systems, operational databases, and legacy application environments.
• Good understanding of data structures, interface design, and transformation logic.
• Familiarity with Oracle ERP / Oracle EBS / Oracle databases / PL/SQL is a strong advantage.
• Ability to trace business processes back to source systems and understand how data should be transformed for reporting and analytics.
• Strong analytical and problem-solving skills with high attention to detail.
• Good communication skills and the ability to work across technical and business teams. Comfortable working in environments where documentation, reverse engineering, and system understanding are as important as coding.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
• 3+ years of experience in data engineering, ETL development, system integration, or enterprise reporting environments.
• Strong working knowledge of SQL and relational databases.
• Experience with on-premise systems, ERP integrations, or enterprise data interfaces.
• Experience with Oracle ERP, Oracle databases, PL/SQL, or related enterprise technologies is a strong plus.
• Experience in retail, finance, supply chain, or other operationally intensive industries is advantageous.

Work Arrangement

Location: Philippines preferred. Onsite or hybrid working model preferred, with flexibility for remote arrangements depending on candidate profile and business needs. Candidate must be open to travel.

Data Engineer (Cloud & Modern Data Stack Focus)

Job Summary

We are looking for a technically skilled and forward-thinking Data Engineer to strengthen our cloud-based analytics and data platform capabilities. This role will focus on designing, building, and optimizing scalable pipelines and transformation workflows within a modern data stack, with Google Cloud Platform, dbt, and Airbyte experience considered strong advantages.

This position is critical in helping build and scale a modern cloud-native data environment, ensuring that data is ingested, transformed, validated, and delivered accurately and efficiently. You will work closely with business stakeholders, Analytics Engineers, IT, and DevOps teams to improve the reliability, usability, and scalability of core analytical and operational data.

Key Responsibilities

• Design, develop, and maintain data pipelines and transformation workflows within cloud-based analytics environments.
• Build and manage reliable ELT pipelines that move data from operational systems, APIs, files, and third-party platforms into centralized cloud reporting and analytics environments.
• Work closely with teams supporting Google Cloud Platform and modern data stack tools to understand source structures, business logic, and reporting dependencies.
• Develop and optimize SQL queries and transformation logic for data processing, reconciliation, modeling, and validation.
• Support the integration of source systems into the broader enterprise cloud data architecture. Collaborate with Analytics Engineers to ensure scalable, reusable, and future-proof data models.
• Investigate data discrepancies, reconcile mismatches, and troubleshoot issues related to ingestion, transformation, and reporting outputs.
• Maintain clear technical documentation covering pipeline logic, source mappings, dependencies, and operational procedures.
• Contribute to data quality and governance efforts by helping define control points, validation checks, testing standards, and reconciliation logic.
• Design, manage, and provision IAM roles and access policies across cloud data platforms to ensure secure, controlled, and compliant access to datasets, pipelines, and supporting services.

Skills / Competencies

• Strong SQL skills, including joins, aggregations, transformations, performance tuning, and troubleshooting.
• Hands-on experience with ELT development across cloud-based analytics environments.
• Experience working with cloud data warehouses, ingestion tools, and transformation frameworks.
• Good understanding of data structures, modular transformation logic, and pipeline design.
• Familiarity with Google Cloud Platform / BigQuery / dbt / Airbyte / Dataform is a strong advantage.
• Ability to understand how raw source data should be transformed and modeled for reporting and analytics.
• Strong analytical and problem-solving skills with high attention to detail.
• Good communication skills and the ability to work across technical and business teams.
• Comfortable working in environments where automation, standardization, and scalability are as important as coding.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
• 3+ years in data engineering, ELT development, cloud analytics engineering, or modern data platform environments.
• Strong working knowledge of SQL and cloud-based data warehouses.
• Experience with Google Cloud Platform, BigQuery, or similar cloud data platforms.
• Experience with dbt, Airbyte, Dataform, or related modern data stack tools is a strong plus.
• Experience in retail, finance, supply chain, e-commerce, or other operationally intensive industries is advantageous.

Data Engineer (On-Premise & ERP Integration Focus)

Job Summary

We are looking for a technically strong and solution-oriented Data Engineer to support the integration, transformation, and operationalization of data from on-premise systems into our broader analytics environment. This role will focus on enterprise source systems, legacy databases, and operational reporting structures, with Oracle ERP knowledge considered a strong advantage.

This position is critical in helping bridge traditional enterprise systems and modern reporting needs, ensuring that data is extracted, transformed, validated, and delivered accurately and efficiently. You will work closely with business stakeholders, Analytics Engineers, MIS, and ERP-focused teams to improve the reliability, usability, and scalability of core operational data.

Key Responsibilities

• Design, develop, and maintain data extraction and transformation processes from on-premise systems, databases, and enterprise applications.
• Build and manage reliable ETL/ELT pipelines that move data from operational systems into centralized reporting and analytics environments.
• Work closely with teams supporting Oracle ERP and other enterprise applications to understand source structures, business logic, and reporting dependencies.
• Develop and optimize SQL queries, stored procedures, and transformation logic for data processing, reconciliation, and validation.
• Support the integration of legacy and on-premise systems into the broader enterprise data architecture.
• Collaborate with Analytics Engineers to ensure source-aligned, scalable, and future-proof data models.
• Investigate data discrepancies, reconcile mismatches, and troubleshoot issues related to extraction, transformation, and reporting outputs.
• Maintain clear technical documentation covering source mappings, transformation logic, interfaces, and operational procedures.
• Contribute to data quality and governance efforts by helping define control points, validation checks, and reconciliation standards.

Skills / Competencies

• Strong SQL skills, including joins, aggregations, stored procedures, performance tuning, and troubleshooting.
• Hands-on experience with ETL/ELT development across on-premise or hybrid environments.
• Experience working with enterprise source systems, operational databases, and legacy application environments.
• Good understanding of data structures, interface design, and transformation logic.
• Familiarity with Oracle ERP / Oracle EBS / Oracle databases / PL/SQL is a strong advantage.
• Ability to trace business processes back to source systems and understand how data should be transformed for reporting and analytics.
• Strong analytical and problem-solving skills with high attention to detail.
• Good communication skills and the ability to work across technical and business teams. Comfortable working in environments where documentation, reverse engineering, and system understanding are as important as coding.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
• 3+ years of experience in data engineering, ETL development, system integration, or enterprise reporting environments.
• Strong working knowledge of SQL and relational databases.
• Experience with on-premise systems, ERP integrations, or enterprise data interfaces.
• Experience with Oracle ERP, Oracle databases, PL/SQL, or related enterprise technologies is a strong plus.
• Experience in retail, finance, supply chain, or other operationally intensive industries is advantageous.

Work Arrangement

Location: Philippines preferred. Onsite or hybrid working model preferred, with flexibility for remote arrangements depending on candidate profile and business needs. Candidate must be open to travel.

Data Engineer (Cloud & Modern Data Stack Focus)

Job Summary

We are looking for a technically skilled and forward-thinking Data Engineer to strengthen our cloud-based analytics and data platform capabilities. This role will focus on designing, building, and optimizing scalable pipelines and transformation workflows within a modern data stack, with Google Cloud Platform, dbt, and Airbyte experience considered strong advantages.

This position is critical in helping build and scale a modern cloud-native data environment, ensuring that data is ingested, transformed, validated, and delivered accurately and efficiently. You will work closely with business stakeholders, Analytics Engineers, IT, and DevOps teams to improve the reliability, usability, and scalability of core analytical and operational data.

Key Responsibilities

• Design, develop, and maintain data pipelines and transformation workflows within cloud-based analytics environments.
• Build and manage reliable ELT pipelines that move data from operational systems, APIs, files, and third-party platforms into centralized cloud reporting and analytics environments.
• Work closely with teams supporting Google Cloud Platform and modern data stack tools to understand source structures, business logic, and reporting dependencies.
• Develop and optimize SQL queries and transformation logic for data processing, reconciliation, modeling, and validation.
• Support the integration of source systems into the broader enterprise cloud data architecture. Collaborate with Analytics Engineers to ensure scalable, reusable, and future-proof data models.
• Investigate data discrepancies, reconcile mismatches, and troubleshoot issues related to ingestion, transformation, and reporting outputs.
• Maintain clear technical documentation covering pipeline logic, source mappings, dependencies, and operational procedures.
• Contribute to data quality and governance efforts by helping define control points, validation checks, testing standards, and reconciliation logic.
• Design, manage, and provision IAM roles and access policies across cloud data platforms to ensure secure, controlled, and compliant access to datasets, pipelines, and supporting services.

Skills / Competencies

• Strong SQL skills, including joins, aggregations, transformations, performance tuning, and troubleshooting.
• Hands-on experience with ELT development across cloud-based analytics environments.
• Experience working with cloud data warehouses, ingestion tools, and transformation frameworks.
• Good understanding of data structures, modular transformation logic, and pipeline design.
• Familiarity with Google Cloud Platform / BigQuery / dbt / Airbyte / Dataform is a strong advantage.
• Ability to understand how raw source data should be transformed and modeled for reporting and analytics.
• Strong analytical and problem-solving skills with high attention to detail.
• Good communication skills and the ability to work across technical and business teams.
• Comfortable working in environments where automation, standardization, and scalability are as important as coding.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
• 3+ years in data engineering, ELT development, cloud analytics engineering, or modern data platform environments.
• Strong working knowledge of SQL and cloud-based data warehouses.
• Experience with Google Cloud Platform, BigQuery, or similar cloud data platforms.
• Experience with dbt, Airbyte, Dataform, or related modern data stack tools is a strong plus.
• Experience in retail, finance, supply chain, e-commerce, or other operationally intensive industries is advantageous.

Data Engineer (On-Premise & ERP Integration Focus)

Job Summary

We are looking for a technically strong and solution-oriented Data Engineer to support the integration, transformation, and operationalization of data from on-premise systems into our broader analytics environment. This role will focus on enterprise source systems, legacy databases, and operational reporting structures, with Oracle ERP knowledge considered a strong advantage.

This position is critical in helping bridge traditional enterprise systems and modern reporting needs, ensuring that data is extracted, transformed, validated, and delivered accurately and efficiently. You will work closely with business stakeholders, Analytics Engineers, MIS, and ERP-focused teams to improve the reliability, usability, and scalability of core operational data.

Key Responsibilities

• Design, develop, and maintain data extraction and transformation processes from on-premise systems, databases, and enterprise applications.
• Build and manage reliable ETL/ELT pipelines that move data from operational systems into centralized reporting and analytics environments.
• Work closely with teams supporting Oracle ERP and other enterprise applications to understand source structures, business logic, and reporting dependencies.
• Develop and optimize SQL queries, stored procedures, and transformation logic for data processing, reconciliation, and validation.
• Support the integration of legacy and on-premise systems into the broader enterprise data architecture.
• Collaborate with Analytics Engineers to ensure source-aligned, scalable, and future-proof data models.
• Investigate data discrepancies, reconcile mismatches, and troubleshoot issues related to extraction, transformation, and reporting outputs.
• Maintain clear technical documentation covering source mappings, transformation logic, interfaces, and operational procedures.
• Contribute to data quality and governance efforts by helping define control points, validation checks, and reconciliation standards.

Skills / Competencies

• Strong SQL skills, including joins, aggregations, stored procedures, performance tuning, and troubleshooting.
• Hands-on experience with ETL/ELT development across on-premise or hybrid environments.
• Experience working with enterprise source systems, operational databases, and legacy application environments.
• Good understanding of data structures, interface design, and transformation logic.
• Familiarity with Oracle ERP / Oracle EBS / Oracle databases / PL/SQL is a strong advantage.
• Ability to trace business processes back to source systems and understand how data should be transformed for reporting and analytics.
• Strong analytical and problem-solving skills with high attention to detail.
• Good communication skills and the ability to work across technical and business teams. Comfortable working in environments where documentation, reverse engineering, and system understanding are as important as coding.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
• 3+ years of experience in data engineering, ETL development, system integration, or enterprise reporting environments.
• Strong working knowledge of SQL and relational databases.
• Experience with on-premise systems, ERP integrations, or enterprise data interfaces.
• Experience with Oracle ERP, Oracle databases, PL/SQL, or related enterprise technologies is a strong plus.
• Experience in retail, finance, supply chain, or other operationally intensive industries is advantageous.

Work Arrangement

Location: Philippines preferred. Onsite or hybrid working model preferred, with flexibility for remote arrangements depending on candidate profile and business needs. Candidate must be open to travel.

Data Engineer (Cloud & Modern Data Stack Focus)

Job Summary

We are looking for a technically skilled and forward-thinking Data Engineer to strengthen our cloud-based analytics and data platform capabilities. This role will focus on designing, building, and optimizing scalable pipelines and transformation workflows within a modern data stack, with Google Cloud Platform, dbt, and Airbyte experience considered strong advantages.

This position is critical in helping build and scale a modern cloud-native data environment, ensuring that data is ingested, transformed, validated, and delivered accurately and efficiently. You will work closely with business stakeholders, Analytics Engineers, IT, and DevOps teams to improve the reliability, usability, and scalability of core analytical and operational data.

Key Responsibilities

• Design, develop, and maintain data pipelines and transformation workflows within cloud-based analytics environments.
• Build and manage reliable ELT pipelines that move data from operational systems, APIs, files, and third-party platforms into centralized cloud reporting and analytics environments.
• Work closely with teams supporting Google Cloud Platform and modern data stack tools to understand source structures, business logic, and reporting dependencies.
• Develop and optimize SQL queries and transformation logic for data processing, reconciliation, modeling, and validation.
• Support the integration of source systems into the broader enterprise cloud data architecture. Collaborate with Analytics Engineers to ensure scalable, reusable, and future-proof data models.
• Investigate data discrepancies, reconcile mismatches, and troubleshoot issues related to ingestion, transformation, and reporting outputs.
• Maintain clear technical documentation covering pipeline logic, source mappings, dependencies, and operational procedures.
• Contribute to data quality and governance efforts by helping define control points, validation checks, testing standards, and reconciliation logic.
• Design, manage, and provision IAM roles and access policies across cloud data platforms to ensure secure, controlled, and compliant access to datasets, pipelines, and supporting services.

Skills / Competencies

• Strong SQL skills, including joins, aggregations, transformations, performance tuning, and troubleshooting.
• Hands-on experience with ELT development across cloud-based analytics environments.
• Experience working with cloud data warehouses, ingestion tools, and transformation frameworks.
• Good understanding of data structures, modular transformation logic, and pipeline design.
• Familiarity with Google Cloud Platform / BigQuery / dbt / Airbyte / Dataform is a strong advantage.
• Ability to understand how raw source data should be transformed and modeled for reporting and analytics.
• Strong analytical and problem-solving skills with high attention to detail.
• Good communication skills and the ability to work across technical and business teams.
• Comfortable working in environments where automation, standardization, and scalability are as important as coding.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
• 3+ years in data engineering, ELT development, cloud analytics engineering, or modern data platform environments.
• Strong working knowledge of SQL and cloud-based data warehouses.
• Experience with Google Cloud Platform, BigQuery, or similar cloud data platforms.
• Experience with dbt, Airbyte, Dataform, or related modern data stack tools is a strong plus.
• Experience in retail, finance, supply chain, e-commerce, or other operationally intensive industries is advantageous.

Data Engineer (On-Premise & ERP Integration Focus)

Job Summary

We are looking for a technically strong and solution-oriented Data Engineer to support the integration, transformation, and operationalization of data from on-premise systems into our broader analytics environment. This role will focus on enterprise source systems, legacy databases, and operational reporting structures, with Oracle ERP knowledge considered a strong advantage.

This position is critical in helping bridge traditional enterprise systems and modern reporting needs, ensuring that data is extracted, transformed, validated, and delivered accurately and efficiently. You will work closely with business stakeholders, Analytics Engineers, MIS, and ERP-focused teams to improve the reliability, usability, and scalability of core operational data.

Key Responsibilities

• Design, develop, and maintain data extraction and transformation processes from on-premise systems, databases, and enterprise applications.
• Build and manage reliable ETL/ELT pipelines that move data from operational systems into centralized reporting and analytics environments.
• Work closely with teams supporting Oracle ERP and other enterprise applications to understand source structures, business logic, and reporting dependencies.
• Develop and optimize SQL queries, stored procedures, and transformation logic for data processing, reconciliation, and validation.
• Support the integration of legacy and on-premise systems into the broader enterprise data architecture.
• Collaborate with Analytics Engineers to ensure source-aligned, scalable, and future-proof data models.
• Investigate data discrepancies, reconcile mismatches, and troubleshoot issues related to extraction, transformation, and reporting outputs.
• Maintain clear technical documentation covering source mappings, transformation logic, interfaces, and operational procedures.
• Contribute to data quality and governance efforts by helping define control points, validation checks, and reconciliation standards.

Skills / Competencies

• Strong SQL skills, including joins, aggregations, stored procedures, performance tuning, and troubleshooting.
• Hands-on experience with ETL/ELT development across on-premise or hybrid environments.
• Experience working with enterprise source systems, operational databases, and legacy application environments.
• Good understanding of data structures, interface design, and transformation logic.
• Familiarity with Oracle ERP / Oracle EBS / Oracle databases / PL/SQL is a strong advantage.
• Ability to trace business processes back to source systems and understand how data should be transformed for reporting and analytics.
• Strong analytical and problem-solving skills with high attention to detail.
• Good communication skills and the ability to work across technical and business teams. Comfortable working in environments where documentation, reverse engineering, and system understanding are as important as coding.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
• 3+ years of experience in data engineering, ETL development, system integration, or enterprise reporting environments.
• Strong working knowledge of SQL and relational databases.
• Experience with on-premise systems, ERP integrations, or enterprise data interfaces.
• Experience with Oracle ERP, Oracle databases, PL/SQL, or related enterprise technologies is a strong plus.
• Experience in retail, finance, supply chain, or other operationally intensive industries is advantageous.

Work Arrangement

Location: Philippines preferred. Onsite or hybrid working model preferred, with flexibility for remote arrangements depending on candidate profile and business needs. Candidate must be open to travel.

Job Summary

We are looking for a strong and business-minded Master Data & Governance Lead to drive the next phase of our master data transformation and help establish a high-quality, well-governed centralized data function. This role will play a critical part in leading Phase 2 of our STIBO MDM implementation, with a focus on pricing scenarios, location master, supplier master, and weight-based item capabilities, while also strengthening standards, procedures, and governance across the broader data organization.

This position is both strategic and hands-on. It will require leadership across project delivery, master data design, data quality, governance, team management, and stakeholder alignment. The role will work closely with business owners, IT, Digital, Data & Technology teams, and operational stakeholders to ensure that master data is structured, governed, and managed in a way that supports scalable business operations and future transformation initiatives.

Key Responsibilities

• Lead Phase 2 of the STIBO MDM implementation, including the design and rollout of pricing scenarios, location master, supplier master, and weight-based item capabilities.
• Partner with business and technical stakeholders to define master data requirements, governance rules, workflows, and operating procedures.
• Drive the development and enforcement of master data standards, policies, validation rules, and quality controls across core domains.
• Lead the centralized data team in maintaining high standards of data quality, process compliance, documentation, and operational discipline.
• Establish and improve governance structures, stewardship processes, approval flows, and ownership models for master data.
• Work closely with business units to align master data structures with operational needs, reporting requirements, and business processes.
• Manage delivery planning, stakeholder communication, issue resolution, and cross-functional coordination for the MDM workstream and related data initiatives.
• Monitor and improve master data quality by defining controls, identifying issues, and ensuring remediation processes are in place and followed.
• Support the design of sustainable operating models for centralized data management, including roles, responsibilities, standards, and service expectations.
• Ensure documentation is maintained for data definitions, business rules, governance procedures, workflows, and implementation decisions.
• Contribute to the broader Digital, Data & Technology transformation by helping build a disciplined, scalable, and trusted data function.

Skills / Competencies

• Strong experience in master data management, data governance, or enterprise data operations.
• Hands-on understanding of core master data domains such as product, supplier, pricing, and location.
• Experience working with MDM platforms, with STIBO experience considered a strong advantage.
• Strong understanding of data quality management, governance processes, stewardship models, and business rule design.
• Ability to lead both project delivery and operational governance in parallel.
• Strong stakeholder management and communication skills, with the ability to align technical and non-technical teams.
• Experience creating standards, procedures, controls, and operating models for centralized data functions.
• Strong analytical and problem-solving skills, especially in complex cross-functional environments.
• Leadership capability to manage teams, drive accountability, and raise the maturity of data practices across the organization.
• Comfortable working in transformation environments where structure is still being built and roles may span strategy, delivery, and operations.

Qualifications

• Bachelor’s degree in Information Technology, Business, Data Management, Engineering, Supply Chain, or a related field.
• 5+ years of experience in master data, data governance, enterprise systems, or related data leadership roles.
• Proven experience leading or significantly contributing to MDM implementations, governance initiatives, or enterprise data transformation projects.
• Experience working with complex business domains such as product, supplier, pricing, location, or retail operations.
• Experience managing stakeholders across business and technical functions.
• Experience leading teams or acting as a central point of accountability across delivery and governance workstreams.
• Experience in retail, supply chain, ERP, or similarly operationally intensive environments is highly advantageous.

Leasing staff is responsible for preparing lease paperwork/documents, creating marketing materials, screening prospective tenants, must have positive attitude, and ability to communicate well to provide an exceptional customer service and assisting tenants with their needs.

Requirements:

Excellent Communication skills both oral and written

Can do handle Sales Calls/ Negotiations

With leadership and decision-making skills

Must be organized and detail oriented; customer oriented is preferred

Qualifications:

Graduate of any Bachelor's Degree

Proficient in Microsoft Office (Excel, Word, PowerPoint)

Amenable to do field work

The People Group Manager is responsible for managing and overseeing all PG functions within the organization. This includes recruitment, employee relations, performance management, training and development, compensation and benefits, and compliance with labor laws.

The PG Manager plays a key role in fostering a positive workplace culture, supporting management, and ensuring the organization’s human resources strategies align with business objectives.

1. Recruitment and Staffing:

· Manage the full recruitment cycle, from job posting to candidate selection and onboarding.

· Develop and implement strategies to attract top talent, including working with external recruiters, job boards, and networking.

· Ensure compliance with legal requirements and company policies during recruitment and hiring processes.

· Conduct interviews and make hiring recommendations to department heads.

2. Employee Relations:

· Act as a liaison between employees and management to ensure a positive and productive work environment.

· Resolve employee conflicts, address grievances, and mediate disputes.

· Promote a culture of inclusion, respect, and collaboration.

· Provide guidance on employee performance, discipline, and behavior.

3. Performance Management:

· Develop and manage performance appraisal systems to ensure employee performance aligns with organizational goals.

· Provide coaching and support to managers and employees to improve performance.

· Address performance issues and recommend corrective actions when necessary.

· Coordinate regular performance reviews and goal-setting sessions.

4. Training and Development:

· Assess organizational training needs and implement development programs.

· Organize training sessions for employees to improve job skills, compliance, and leadership abilities.

· Develop leadership and succession plans to identify and grow future leaders within the company.

· Support continuous professional development and career progression.

5. Compensation and Benefits:

· Oversee employee compensation programs, ensuring they are competitive and aligned with industry standards.

· Manage employee benefits programs, including health insurance, retirement plans, and wellness initiatives.

· Recommends to management on salary structures, incentive plans, and benefits-related matters.

· Ensure timely and accurate administration of payroll and benefits-related processes

6. Compliance and Risk Management:

· Ensure the company complies with Department of Labor and Employment and other government standards.

· Stay updated on HR-related legislation and implement necessary changes to policies and procedures.

· Monitors HR records in accordance with legal and company requirements.

· Recommends to management on risk management and employment law issues.

7. HR Policies and Procedures:

· Develop, implement, and maintain company-wide HR policies and procedures.

· Ensure policies are communicated clearly to employees and are consistently enforced.

· Review and update employee handbooks and ensure HR practices are in line with organizational needs.

8. Employee Engagement and Retention :

· Implement initiatives to enhance employee engagement, satisfaction, and retention.

· Conduct employee surveys to gauge satisfaction and recommend improvements.

· Recognize and reward employees for their contributions to the company.

· Develop programs to foster a positive work-life balance and employee well-being.

9. HR Administration and Reporting:

· Maintain accurate HR records and documentation (e.g., employee files, contracts, performance reviews).

· Prepare regular HR reports for senior management on employee metrics, turnover rates, and other key data.

· Manage HR systems (HRIS) and ensure data accuracy.

Key Requirements:

• · Education: Bachelor’s degree in Human Resources, Business Administration, or related field. A master’s degree or professional HR certification is a plus.
• · Experience: Minimum of 5 years of HR experience, with at least 2 years in a managerial role.

Skills & Competencies:

• In-depth knowledge of HR policies, employment law, and best practices.
• Strong leadership and interpersonal skills.
• Ability to handle sensitive and confidential information.
• Excellent communication, problem-solving, and conflict-resolution skills.
• Proficient in HR software and Microsoft Office applications (Excel, Word, PowerPoint).
• Strong organizational and multitasking abilities.
• Use of email, communication chat applications (ie., viber, whatsapp, messenger) and digital communication platforms (ie., zoom, google meet, etc)"

Applications Lead is responsible for supervising and monitoring the development of their team members, drive digital transformation, create innovation opportunities, enable business units to improve productivity and customer experience, must have the skills in designing, developing, debugging, and deploying software solutions.

Qualifications:

• Graduate of Bachelor of Science in Information Technology (BSIT)/Bachelor of Science in Computer Science (BSComSci)/Bachelor of Science in Computer Engineering (BSComEng)
• With or without work experience
• Knowledgeable in Software, System Analysis, Design, Support, Development and Quality Assurance
• Able to do Business Analysis, Project Management and Solution Architecture
• Knows ORACLE, MICROSOFT, MYSQL or other open source database
• SAP, WINCOR, JDA, INFOR, Legacy Enterprise Resource Planning System
• WINDOWS/LINUX/UNIX or other Client-Server Operating Systems
• SQL, PL-SQL, VISUAL BASIC.NET , VISUAL C#, JAVA, PHP, PHYTON, RUBY, SHELL SCRIPTING

Leasing staff is responsible for preparing lease paperwork/documents, creating marketing materials, screening prospective tenants, must have positive attitude, and ability to communicate well to provide an exceptional customer service and assisting tenants with their needs.

Requirements:

Excellent Communication skills both oral and written

Can do handle Sales Calls/ Negotiations

With leadership and decision-making skills

Must be organized and detail oriented; customer oriented is preferred

Qualifications:

Graduate of any Bachelor's Degree

Proficient in Microsoft Office (Excel, Word, PowerPoint)

Amenable to do field work