209 Data Solutions jobs in the Philippines

Do you want to take the first step in making Filipinos' lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation G ka ba? Join the G Nation today

Roles And Responsibilities
Does (
The tasks / responsibilities that the role performs to address requirements in Key Result Areas)

• Design and build dimensional data models in accordance to industry standards and best practices
• Work closely with stakeholders to gather and understand requirements
• Translate business requirements into data solutions and specification
• Collaborate with delivery teams (data engineering, reports and dashboard developers) to ensure data is accurately processed and loaded
• Create and maintain comprehensive documentation (entity relationship diagram, mappings, data dictionary, etc.)
• Implement data quality checks and validation processes
• Perform periodic analysis of query and reports performance, and recommend optimization solutions
• Ensure data models support fast query execution, even with complex joins or large datasets
• Provide technical guidance and mentorship to junior members of the team
• Build complex queries on large volumes of data using SQL
• Create and update documentation, and help maintain the team document portal
• Standardize different queries and optimize them to speed up query times
• Ensure data security practices in the deployed pipelines
• Identify automation opportunities and implement automation projects
• Maintain uptime for different automation tasks

Displays (
The Knowledge, Skills, and Behaviors indicating how tasks / responsibilities will be performed
)

• Strong understanding of dimensional data modeling concepts, data warehousing principles and architectures
• Possesses technical, analytical, and soft skills to allow the design of efficient and scalable data models, reports and dashboards
• Deep understanding of SQL for querying, reporting, and optimizing performance
• Familiarity with traditional and modern cloud-based databases
• Comprehension to understand and convert business questions and reporting needs into efficient data solutions
• Appetite to stay updated with with evolving data practices, tools, and technologies indata modeling and warehousing
• Willingness to work with different stakeholders across the organization
• Ability to work closely with data architects, data engineers, and developers to identify data related problems and solutions
• Leadership skills to help establish the team's ways-of-working, processes, deliverables, and documentation
• Strong collaboration skills
• Agile mindset with 'fail fast, learn fast' attitude
• Detail-oriented to verify the integrity of gathered data and reports
• Experience in analytics and data warehousing concepts, terminologies, and architecture
• Good oral and presentation skills are a must
• Coordinates and supports the Data Engineering team on the updates of the data sources

Delivers (
The specific outputs / tangible results produced by the role; resources responsible for
)

• Dimensional data models
• Entity relationship diagram
• Data dictionary and metadata documentation
• Data mapping documents
• Performance tuning artifacts
• ETL specifications
• Prototypes and sample reports
• Validation and test scenarios
• Data change management documentation
• Governance and security artifacts

*QUALIFICATIONS
(Minimum requirements in terms of experience and background, skills and competencies for sourcing purposes)*

• Experience working with SQL (Oracle, Sybase, etc.) and cloud-based (Google BigQuery, Alibaba Cloud, etc.) databases required
• Experience in Google Looker Studio, Google Sheets, Excel required
• Experience in Google Suite (GSheet, GDocs, etc.) required
• Experience in diagramming tools (ERWin, Lucid, etc.) required
• Experience in JIRA and Confluence preferred

What We Offer
Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package

Company Description

We are SGS – the world's leading testing, inspection and certification company. We are recognized as the global benchmark for quality and integrity. Our 93,000 employees operate a network of 2,600 offices and laboratories, working together to enable a better, safer and more interconnected world.

Job Description

Primary Responsibilities

• Responsible for managing vendor setup and overseeing the material ordering process within the system, up to the finalization of orders.

Specific Responsibilities

• At all times, complies with SGS Code of Integrity and Professional Conduct.
• Communicate effectively with internal stakeholders and external vendors or contractual partners, primarily through written correspondence, but also verbally when necessary
• Facilitate vendor setup through SharePoint and coordinate with vendors to secure all necessary information
• Procure office supplies, punch out items, and other non-listed materials and consumables as needed
• Maintain internal communication with the team based in Katowice
• Handle order processing, follow-ups, and routine procurement tasks.
• Provides reports documenting reviews and changes where required.
• Maintains the integrity of the contents of database necessary for credible statistical reports.
• Attends and participates in team and company meetings.
• Provides suggestions on process improvements.
• Reports to Management any breach of integrity, solicitation for, or offer of, an improper payment or advantage coming to his/her knowledge.
• Performs other duties as may be assigned by Operations Manager to achieve operations efficiency. Examples of other tasks are as follows: to supervise or Member of Special Projects or Work Group

• Complies with the Quality, Health and Safety, Environment and Energy (QHSEE) policies and collaborating objectives including, but not limited to:

• Demonstrates strong undertaking to SGS QHSEE policies, procedures and work instructions by participating in meetings, projects and events, completes required training, intervenes in unsafe situations, refuses unsafe work, and complies fully with all applicable laws and regulations related to HSEE

• Reacts appropriately and immediately to emergency situations and assists other staff members in maintaining readiness to behave to emergencies within the workplace
• Disposes or directs the disposal of waste generated as a part of daily work performed in a safe manner and in compliance with the disposal regulations and requirements, and in accordance with SGS Environmental Management System requirements
• Reports all incidents, including near misses and hazards, that may affect the achievement of QHSEE objectives in accordance with SGS Incident Reporting and Management requirements
• Efficiently uses all equipment, including safety equipment, and company owned property in the manner intended and reports any damaged / lost equipment to Line Supervisor
• Maintains a safe and tidy worksite according to the organization's 5S program and guidelines
• Maintains awareness of the safety and health related hazards and environmental aspects and proposes action plans to control the risks to Line Supervisor or QHSEE Coordinators
• Participates in incident investigations and risk assessments as deemed necessary by SGS management
• Fulfills the requirements needed in the success of the QHSEE Management System
• Recognizes the potential consequences of not following the established policies, procedures, and guidelines, including not fulfilling the organization's compliance obligations
• Performs other related duties as may be assigned either in upholding of departmental goals or for his/her personal or professional training, education or development as programmed by his/her Line Supervisor.
• May include any combination of duties as needed in a project.

Qualifications

Profile

• Must have at least a university and/or college degree
• A minimum of one-year experience in office or administrative functions, preferably with a focus on finance or human resources support is a plus
• Previous experience in SAP is preferred
• Experience using business systems such Oracle, iProcurement, and SharePoint is a plus
• Demonstrated commitment to data quality and operational excellence

Experience / Knowledge

• Background in commercial or administrative roles (e.g., office clerk, administrative assistant, etc.)
• Computer literate (familiar with MS Window applications).
• Must type at least 35 words per minute with an accuracy rate of at least 90%.
• Audit and proof-reading exposure preferred.
• Detail and results oriented.
• Able to coordinate and motivate.
• Able to build certainty, respect and confidentiality.
• Acts quickly and conclusively; able to make tough calls.
• Able to perform effectively in high-pressure environments
• Willing to work weekends, holidays, and mid-shift hours (2:00 PM – 11:00 PM), in alignment with the German holiday calendar.

Languages

• Must possess good oral and written communications skills
• Proficient in English at C1 level
• German language skills are an advantage

Additional Information

• Willing to be assigned in Alabang
• Hybrid Set up
• Can work on weekends and on rotation shift basis (Morning, Mid or Night Shift).
• Fresh Graduates are welcome to apply
• Follow Germany calendar holidays

As a Data Solutions Manager, you will be responsible for collecting, analyzing, and interpreting

large datasets to provide actionable insights and support data-driven decision-making within

the organization. Your role involves employing statistical methods, data visualization

techniques, and programming skills to extract meaningful patterns and trends from various

sources of data.

You are brilliant with data, reports and can handle multiple deadlines simultaneously. You are

motivated to go above and beyond for clients, and have a strong understanding of the AdTech

landscape with expertise in video and social platforms. You build collaborative relationships

with Sales and Campaign Management teams, and capitalize on the knowledge sharing

amongst the global CSM cohort to ensure we uphold best practice client servicing standards.

Core Responsibilities

• Data Licensing Support:

○ Put together and deliver Youtube channel lists based on specific guidelines and

parameters.

○ Perform quality audits on YT channel data and lists.

○ Works closely with and supports the Product Manager for any tasks as needed.

• Content Strategy Analysis Support:

○ Perform quality audits on YT channel data and lists.

○ Manage several projects at the same time, delivering results in a timely manner.

○ Provide insights and/or recommendations as needed to help improve the content

review process and tool.

○ Works closely with and supports the Product Manager for any tasks as needed.

Qualifications
Experience required:

• A Bachelor degree in any field you & passionate about.
• At least 1-2 years of experience in an analyst, quality control, or project management

role

• Strong Google Sheets or MS Excel fundamentals.
• Fluency in English.
• Outstanding analytical skills
• Ability to detect patterns, data inconsistencies, etc.
• Strong attention to detail
• Ability to thoroughly and accurately complete tasks/projects in a timely manner.
• Able to multitask and prioritize.
• Technology focused mindset - ability to pick up and learn new technology as needed.

Dependable - ability to work independently to complete a set of assigned tasks in a

timely manner.

Must have skills

• data analyst
• content strategy
• campaign management
• data visualization

Do you want to take the first step in making Filipinos' lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation G ka ba? Join the G Nation today

You will be responsible for the following:

Does (The tasks / responsibilities that the role performs to address requirements in Key Result Areas)

• Design and build dimensional data models in accordance to industry standards and best practices
• Work closely with stakeholders to gather and understand requirements
• Translate business requirements into data solutions and specification
• Collaborate with delivery teams (data engineering, reports and dashboard developers) to ensure data is accurately processed and loaded
• Create and maintain comprehensive documentation (entity relationship diagram, mappings, data dictionary, etc.)
• Implement data quality checks and validation processes
• Perform periodic analysis of query and reports performance, and recommend optimization solutions
• Ensure data models support fast query execution, even with complex joins or large datasets
• Provide technical guidance and mentorship to junior members of the team
• Build complex queries on large volumes of data using SQL
• Create and update documentation, and help maintain the team document portal
• Standardize different queries and optimize them to speed up query times
• Ensure data security practices in the deployed pipelines
• Identify automation opportunities and implement automation projects
• Maintain uptime for different automation tasks

Displays (The Knowledge, Skills, and Behaviors indicating how tasks / responsibilities will be performed )

• Strong understanding of dimensional data modeling concepts, data warehousing principles and architectures
• Possesses technical, analytical, and soft skills to allow the design of efficient and scalable data models, reports and dashboards
• Deep understanding of SQL for querying, reporting, and optimizing performance
• Familiarity with traditional and modern cloud-based databases
• Comprehension to understand and convert business questions and reporting needs into efficient data solutions
• Appetite to stay updated with with evolving data practices, tools, and technologies indata modeling and warehousing
• Willingness to work with different stakeholders across the organization
• Ability to work closely with data architects, data engineers, and developers to identify data related problems and solutions
• Leadership skills to help establish the team's ways-of-working, processes, deliverables, and documentation
• Strong collaboration skills
• Agile mindset with 'fail fast, learn fast' attitude
• Detail-oriented to verify the integrity of gathered data and reports
• Experience in analytics and data warehousing concepts, terminologies, and architecture
• Good oral and presentation skills are a must
• Coordinates and supports the Data Engineering team on the updates of the data sources

Delivers (The specific outputs / tangible results produced by the role; resources responsible for )

• Dimensional data models
• Entity relationship diagram
• Data dictionary and metadata documentation
• Data mapping documents
• Performance tuning artifacts
• ETL specifications
• Prototypes and sample reports
• Validation and test scenarios
• Data change management documentation
• Governance and security artifacts

We are looking for:

• Experience working with SQL (Oracle, Sybase, etc.) and cloud-based (Google BigQuery, Alibaba Cloud, etc.) databases required
• Experience in Google Looker Studio, Google Sheets, Excel required
• Experience in Google Suite (GSheet, GDocs, etc.) required
• Experience in diagramming tools (ERWin, Lucid, etc.) required
• Experience in JIRA and Confluence preferred

Job brief

We are seeking a visionary
Head of
Data Architecture
for a global company building AI platforms from scratch to lead the design and execution of our enterprise-wide data backbone. This leader will unify data across CAD, Finance, Operations, and GTM functions, ensuring our organization has a trusted, scalable foundation for analytics, AI, and business decision-making.

Responsibilities

• Design, implement, and own the enterprise-wide data architecture that connects critical business domains (CAD, Finance, Operations, GTM).
• Lead the development and maintenance of data models, pipelines, lineage, quality frameworks, adnd governance standards.
• Ensure the delivery of reliable, well-documented datasets to enable AI, ML, and advanced analytics use cases.
• Establish and enforce best practices for data management, scalability, and cloud-native architectures.
• Collaborate with cross-functional stakeholders to translate business needs into data solutions.
• Build, lead, and mentor a high-performing team of data engineers and architects.

Requirements

• Proven track record of designing and scaling enterprise-level, cloud-native data platforms beyond reporting and BI.
• Hands-on expertise with Snowflake or BigQuery, along with modern orchestration and transformation tools (e.g., dbt, Airflow) in AWS, GCP, or Azure environments.
• Demonstrated impact through enabling AI/ML and advanced analytics initiatives
• Strong leadership presence: ability to recruit, develop, and inspire data engineering talent.
• Excellent communication and collaboration skills, with experience working across executive, technical, and operational teams.

We are seeking a visionary Head of  Data Architecture  for a global company building AI platforms from scratch to lead the design and execution of our enterprise-wide data backbone. This leader will unify data across CAD, Finance, Operations, and GTM functions, ensuring our organization has a trusted, scalable foundation for analytics, AI, and business decision-making. 

• Design, implement, and own the enterprise-wide data architecture that connects critical business domains (CAD, Finance, Operations, GTM).
•  Lead the development and maintenance of data models, pipelines, lineage, quality frameworks, adnd governance standards.
• Ensure the delivery of reliable, well-documented datasets to enable AI, ML, and advanced analytics use cases.
• Establish and enforce best practices for data management, scalability, and cloud-native architectures.
• Collaborate with cross-functional stakeholders to translate business needs into data solutions.
• Build, lead, and mentor a high-performing team of data engineers and architects.

• Proven track record of designing and scaling enterprise-level, cloud-native data platforms beyond reporting and BI.
• Hands-on expertise with Snowflake or BigQuery , along with modern orchestration and transformation tools (e.g., dbt, Airflow ) in AWS, GCP, or Azure environments.
• Demonstrated impact through enabling AI/ML and advanced analytics initiatives
• Strong leadership presence: ability to recruit, develop, and inspire data engineering talent.
• Excellent communication and collaboration skills, with experience working across executive, technical, and operational teams.

We are seeking an experienced and strategic Director of Data Architecture to lead the design and implementation of an enterprise-wide data backbone that seamlessly integrates data across CAD, finance, operations, and go-to-market functions. This role will be responsible for building and maintaining robust, scalable data infrastructure that supports our business intelligence, analytics, and AI capabilities.

KEY RESPONSIBILITIES

• Design and implement enterprise‑wide data backbone that unifies CAD, finance, ops, and GTM data.
• Own data models, pipelines, quality, lineage, and governance.
• Enable AI/analytics by delivering reliable, well‑documented datasets.

QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
• 10+ years of experience in data architecture, data engineering, or related fields, with at least 5 years in leadership roles.
• Proven track record of designing and implementing enterprise-scale, cloud-native data platforms beyond traditional reporting.

• Hands-on expertise with:

• Cloud platforms: AWS, GCP, or Azure.

• Data warehousing: Snowflake, BigQuery, or similar.

• Data pipeline/orchestration: dbt, Airflow, or equivalent.

• Experience enabling AI/ML or advanced analytics use cases through robust data foundations.

• Strong background in data governance, quality, and security frameworks.
• Demonstrated ability to recruit, mentor, and lead data engineering teams.
• Excellent communication and collaboration skills, with ability to influence technical and business stakeholders.

About the Position: Lead Consultant Data Architecture & Engineering (GDC) | Remote

Work Arrangement: Fully Remote

Schedule: Midshift

At least 5 years of relevant experience and at least 4 years of relevant leadership experience is needed.

Job Overview:

**Leadership Development** This role offers opportunities to enhance your technical leadership skills, including making technical decisions, mentoring junior team members, and building relationships with project, client, and company leadershipall while remaining actively involved in your technical domain.

**Technology Focus & Growth** Our primary focus is on Azure, providing numerous chances to develop your expertise within the Microsoft and Azure ecosystems in an environment dedicated to technical excellence and exceptional client experiences. Just six months with our team can equate to years of experience elsewhere.

**Partnerships & Opportunities** Our strong global partnership with Microsoft ensures access to innovative Azure projects and direct collaboration with the platforms creatorsan advantage not commonly found elsewhere.

**Compensation & Culture** We offer a competitive salary, allowances, standard benefits, and performance-based bonuses (quarterly and annually). Our company fosters a positive working environment and culture, with flexible options for remote work.

**Core Technical Skills Required:**

• Proven experience leading small to medium technical teams, including task delegation, technical escalation, support, and representing the team in Agile ceremonies and client meetings

• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments

• Experience in developing data architectures supporting diverse data formats: structured, semi-structured, and unstructured data

• Hands-on involvement in full lifecycle data warehouse projects

• Knowledge of data architecture necessary for data integration processes

• Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar

• Familiarity with Microsoft Azure Data Platform services like Azure Data Lake Storage, Azure Blob Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs

• Demonstrated ability to quickly learn, adapt, and apply new technologies

• Experience in data profiling and mapping source-to-target data transformations

• Ability to provision and configure Azure data services

**Detailed Technical Skills:**

• Python and SQL scripting

• SQL and PySpark

• General cloud architecture skillscapable of translating requirements into data pipeline solutions

• API development knowledge; candidates with API creation skills are preferred

**Preferred Skills, Experience, & Certifications:**

• Microsoft Fabric

• Microsoft Azure Cosmos DB, Data Flows, ExpressRoute, Azure Active Directory

• Experience designing migration strategies from on-premise environments to Azure

• Power BI and semantic data modeling

• AWS Glue and Azure Data Factory

• AWS S3 and Azure Blob Storage

• AWS Athena and Azure Databricks

• AWS Redshift and Azure Synapse Analytics

• AWS ECS and Azure AKS