650 Data Engineer jobs in the Philippines

About Us

MoneyHero Group (Nasdaq: MNY) is a market leading financial products platform in Greater Southeast Asia, reaching 9.8m monthly unique users and working with more than 270 commercial partners across five markets including Singapore, Hong Kong S.A.R., Philippines, Taiwan, and Malaysia.

About The Job

The Senior Data Engineer is responsible for overseeing the design, development, implementation, and maintenance of all data-related systems, infrastructure, and processes within an organization. They will lead a team of data engineers and work closely with data scientists, business analysts, and other stakeholders to ensure that data is properly collected, processed, stored, and made available for analysis and decision-making purposes.

The Data Engineer Will

• Develop and implement technical data architecture and engineering strategies to support the organisation's data-driven initiatives, including data warehousing, ETL processes, and data governance.
• Build and maintain scalable and reliable data pipelines, ensuring data quality and consistency across all systems.
• Create and maintain data models that align with business requirements, ensuring data integrity and optimal performance
• Manage, guide and support junior data engineers in the development and implementation of data-related solutions
• Collaborate with data scientists, business analysts, and other stakeholders to identify data-related needs and requirements, and develop and implement solutions.
• Monitor and troubleshoot data-related issues, providing timely resolution and support to minimize downtime and disruption.

In This Role, We Are Looking For Someone With

• At least 4 years of hands-on experience in data engineering building scalable pipelines and infrastructure
• Create and maintain data models that align with business requirements, ensuring data integrity and optimal performance
• Strong technical skills in data warehousing, ETL processes, and database management systems, such as SQL, Python and dbt.
• Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud ( BigQuery preferred)
• Knowledge of data security and privacy regulations, such as GDPR and HIPAA
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders
• Analytical and problem-solving skills, with the ability to identify and resolve data-related issues and implement effective solutions
• Bachelor's degree in computer science, engineering, or a related field

What can you expect from us?

Impact
: We are actively empowering and connecting people to a better financial future. Join us if you want to help us achieve our mission.

Work
: We have a team of over 350 talented individuals in 4 markets who are hyper passionate about building innovative financial solutions and making an impact on people's lives.

Culture
: We take our work seriously but don't hesitate to keep things light. We can only create magic when we have a little bit of fun.

Thrive
: We launched in 2014, and now help over 10 million monthly users make the best financial decisions. Accelerate your career and become a pioneer in your field with a leading fintech company that seeks to push the boundaries of your imagination and is committed to growing your career.

Reputation
: We are backed by world-class organizations and companies and have raised over US$110 million from investors including Experian, Pacific Century Group, IFC - a member of the World Bank Group

EEO Statement

MoneyHero Group is an equal opportunity employer. We value, support and respect all individuals and is committed to maintaining an inclusive and diverse working environment. Decisions in hiring are based on business needs, requirements of the job and individual qualifications and shall not be influenced by any consideration of race, ethnic or national origin, religion, sex (including gender identity and/or expression), age, sexual orientation, marital status, parental status, disability, genetic information, political affiliation or other applicable legally protected characteristics.

Key Responsibilities

• Lead data integration design and implementation across multiple systems and into DW

• systems using SnapLogic and Coalesce and between Fivetran and SnowFlake

• Architect high-performance, reusable Data Integration workflows including data extraction, transformation, quality improvement as needed, and enrichment/curation

• Facilitate seamless handoffs and collaboration protocols with global teammates and stakeholders

• Participate in planning meetings, sprint reviews, and architecture discussions with global teams

• Champion best practices in pattern-based, metadata driven approach (as appropriate), efficient and optimized data integration design and implementation, proper documentation, data governance, and cross-regional knowledge sharing

• Mentor junior engineers across the region and support continuous learning within the team

• Identify and resolve performance bottlenecks and integration issues across geographies

Required Skills & Experience

• 5+ years in data engineering, with 2+ years in technical leadership role

• Strong experience with SnapLogic

• Expert in SQL

• Understanding of DW ETLELT tools and experience with Coalesce (nice to have), FiveTran (Nice to have) Proven track record in global team collaboration, especially across APAC and Western time zones

• Hands-on experience with Python, and major cloud platforms (AWS, Azure, or GCP)

• Deep understanding of integration frameworks, REST APIs, and real-time data streaming

• Exceptional communication skills with cultural agility and stakeholder empathy

Preferred Qualifications

• Relevant certifications in ETL/ELT tools, cloud architecture, or data engineering such as: Google Cloud Professional SnapLogic Certification Coalesce Academy Certification Fivetran Partner Certification Snowflake certification (SNoPro)

• Familiarity with large-scale IT project delivery in distributed environments

• Experience supporting handoffs between India and North America/Europe-based teams

Unleash Your Talent with US

Hi there, our future 
Data Engineer
 Happy to see 
YOU
 here.

Here at Integrated OS, you'll be part of a team of passionate individuals who are committed to delivering exceptional offshoring services. Bringing in an array of skills and talents from different areas of business from Finance, Human Resources, Information Technology, Customer Service, and Marketing to Sales and Operations.

From humble beginnings, we have built our company from our first team member onwards. Initially, we were lending support to an Australian print manufacturer - The Lamson Group.

Since then, we have continued to uphold our core values and culture and developed a deeper understanding of how people need help to succeed in their goals. And YOU might be a part of this amazing growth as our team keeps growing above all expectations

What you'll do:

As our 
Data Engineer
, you'll play a key role in the development, maintenance, and optimisation of our data infrastructure. You'll work hands-on with SQL Server, design efficient queries, manage APIs and system integrations, and support cloud data workflows in Azure. Your contributions will directly support business functions across departments, enabling more informed decisions and enhanced operational efficiency.

Key responsibilities for this role include:

Data and SQL Development

• Write and optimise T-SQL queries for data extracts and reporting purposes.
• Create, update, and maintain SQL Server database objects, including stored procedures, views, and functions.
• Collaborate with the BI & Solutions Manager to support Power BI reports by ensuring timely and accurate data availability.

Systems Integration & Automation

• Design, build, and maintain integrations between business systems using APIs and webhooks.
• Support existing integration processes and proactively identify opportunities for automation or improvement.
• Troubleshoot and resolve integration failures in a timely manner.

Azure Data & Cloud

• Monitor and maintain Azure Data Factory pipelines feeding our Azure Data Warehouse.
• Assist with troubleshooting data flow and transformation issues.
• Support cloud-based data infrastructure and contribute to its continual improvement.

Project & Support Collaboration

• Work closely with the IT and business stakeholders across departments including HR, Operations, Enrolments, and Finance.
• Translate business requirements into technical solutions in a structured and scalable manner.
• Participate in cross-functional projects, contributing to technical design, development, and testing.

Successful candidates must have:

• Strong T-SQL development skills and experience working with SQL Server.
• Practical experience with system integrations (APIs, webhooks, JSON, etc.).
• Understanding of or exposure to Azure Data Factory and data pipeline concepts.
• Experience working with Power BI.
• A strong understanding of data warehouse architecture and ETL processes.
• Experience with scripting languages (e.g., Python, PowerShell), any programming language (e.g., PHP, C#).
• Familiarity with DevOps tools.
• Previous experience in the childcare, education, or not-for-profit sectors.
• Familiarity with data flow design, development best practices and version control.
• Proactive problem-solving approach and attention to detail.
• A strong communicator who can interpret technical and business requirements effectively.
• Willingness to learn, adapt, and grow with the organisation.

Work Arrangements:

• Schedule:
  6:00 AM - 3:00 PM PHT
• Work Setup:
   Work-Onsite
• Office Location:
   Parkway Corporate Center, Alabang, Muntinlupa City

What's in it for YOU?

At 
Integrated OS
, we create career opportunities where you can thrive, grow, and make an impact.

• Competitive Salary & Benefits:
   Be rewarded for your expertise and dedication.
• Career Growth & Development:
   Work alongside international clients and gain valuable experience.
• Work-Life Balance:
   Our innovative activities, open communication channels, and commitment to inclusivity make every day exciting and rewarding
• Collaborative & Supportive Environment:
   Be part of a passionate team that values innovation and teamwork.

Your seat awaits Be part of our thriving team and
CLICK APPLY

• College Graduate
• Advanced Excel proficiency (pivot tables, advanced formulas, data analysis tools)
• Strong VBA programming experience
• MS SQL Server knowledge (queries, stored procedures, database connections)
• Understanding of ODBC/OLE DB connections
• Experience: 2–3 years in Excel development/support or similar technical role.
• Knowledge of SQL Server Management Studio
• Familiarity with data visualization tools
• Previous experience supporting business users in a corporate environment

Location: BGC, Taguig

Work Setup: Hybrid

Work Schedule: Midshift

Job Type: Full-time

Pay: Php50, Php55,000.00 per month

Work Location: In person

Company Description

Encora Solutions is a comprehensive provider of job, internship, and activities information, offering specialized recruitment services. The company assists organizations through headhunting and connects job seekers with confirmed placement opportunities. Encora Solutions also supplies professional teams for both time-bound and long-term projects. The company operates under its main unit and its sub-units, "Encora Resources" and "Encora Events."

Role Description

This is a full-time, hybrid role for a Data Engineer located in Taguig, with some work-from-home flexibility. The Data Engineer will design, develop, and maintain data pipelines to streamline data collection, processing, and storage. Day-to-day tasks include data modeling, implementing ETL processes, managing data warehousing solutions, and conducting data analytics to support business insights. Collaboration with cross-functional teams to enhance data-driven decision-making is also a key responsibility.

Qualifications

• Experience in Data Engineering and Data Modeling
• Proficiency in developing and managing Extract Transform Load (ETL) processes
• Knowledge of Data Warehousing solutions
• Skills in Data Analytics to derive business insights
• Excellent problem-solving skills and attention to detail
• Ability to work independently and in a hybrid team environment
• Bachelor's degree in Computer Science, Information Technology, or related field
• Relevant certifications or experience in similar roles would be advantageous

The Opportunity
Our partner is a leading organization in the food and grain processing industry, backed by one of the world's largest diversified food and retail groups. With operations spanning over 50 countries and a global workforce of more than 130,000 employees, they are driven by a mission to deliver safe, nutritious, and affordable food products.

As they continue to elevate their digital and data-driven capabilities, they are seeking a highly skilled
Data Engineer & Visualisation Specialist
to join their team. This role blends deep technical expertise in data engineering with a strong sense of design and storytelling through data.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to seamlessly integrate data from diverse sources.
• Architect and implement robust data models and data warehouses to enable advanced analytics and business reporting.
• Create dynamic, user-friendly dashboards and visualizations with tools like Power BI, Tableau, or similar tools.
• Partner with cross-functional teams to gather business requirements and translate them into impactful data solutions.
• Ensure high standards of data quality, integrity, and security across all data assets and platforms.
• Continuously optimize and fine-tune data workflows to enhance performance, scalability, and cost-efficiency.

Skills, Requirements & Qualifications

• Hands-on experience in data engineering, with strong command of SQL, Python, and cloud environments such as Azure, AWS, or GCP.
• Familiarity with ETL/ELT pipeline design, orchestration tools, and version control.
• Expertise in building data visualizations and dashboards using Power BI, Tableau, or similar platforms.
• In-depth understanding of data architecture, data warehousing best practices, and data governance principles.
• Exceptional communication skills, with the ability to distill complex datasets into clear, engaging narratives for technical and non-technical audiences.

ASW Offers

• Be part of a Great Place to Work certified company that's going places We're heading to Hong Kong this September for our exciting company trip, and we'd love for you to join the adventure.
• Thrive in a dynamic, inclusive, and supportive culture that celebrates collaboration, diversity, and shared success across borders.
• Enjoy competitive compensation that recognises your skills and contributions.
• Work with global clients and stakeholders, gaining valuable international exposure.
• Comprehensive medical benefits to support your well-being, covering your family member(s).
• Generous paid leave entitlements, because life outside work matters too.
• Exciting team outings, company events, and travel opportunities, like our annual overseas trips, unforgettable parties, and more.
• Collaborate with colleagues across Malaysia, Vietnam, the Philippines, and Australia, expanding your global perspective.
• Ongoing training and career development tailored to your role and the industry.

Work Setup: Hybrid (2x a week onsite)

Work Location: BGC, Taguig

Work Schedule: Dayshift

Responsibilities:

• Design and develop data pipelines that will ingest the data from the respective source systems into the data warehouse
• Support and optimize existing data pipelines to ensure that the downstream SLAs are met
• Responsible in attending agile ceremonies as part of the Agile Tribe set-up and delivering the different demands of the Tribe related to data ingestions to the data warehouse platform
• Ensures data quality within the data warehouse tables
• Ensures the data engineering standards and practices are followed like code version history, readability, functionality, extendibility, test runs, deployments, and post deployment support
• Manage data storage, computing unit requirements, and data security within the data warehouse
• Gather data requirements coming from Tribe demands

Qualifications:

• Strong SQL and ETL development experience, preferably related to Data Warehousing, Business Intelligence, or other Data Delivery projects.
• Proficiency in optimizing data pipelines in order to meet SLA requirements and save cost
• Experience in Big Data, Hadoop, EMR, Hive, and cloud environments is a plus
• Proficiency in Python, R, Java, Scala is a plus
• Proficiency in data modeling, data integrations, data quality, and data architecture is a plus

Job Summary:

We are looking for a technically skilled and solution-oriented GCP Data Engineer to strengthen our cloud data infrastructure. This role is central to building and maintaining automated, scalable data pipelines using Google Cloud services. You will work closely with our Analytics Engineers, IT , and DevOps teams to ensure robust data operations, event-driven workflows, and well-governed infrastructure.

Your contributions will directly support centralized reporting, system integrations, and the automation of complex data processes across KCC.

Key Responsibilities:

• Design, implement, and maintain data pipelines using
  BigQuery, Cloud Storage, and Datastream (CDC)
  .
• Build
  event-driven workflows
  using Cloud Functions or Python) for transformation, alerting, and integration.
• Automate infrastructure provisioning and configuration using
  Terraform
  .
• Develop and manage
  CI/CD workflows via GitHub Actions
  to streamline deployments.
• Write and maintain
  advanced SQL queries
  for data transformation and validation.
• Monitor and troubleshoot workflows and serverless functions for performance and reliability.
• Collaborate with Analytics, IT, and DevOps to ensure scalable and maintainable data architecture.
• Document pipelines, infrastructure components, and operational logic clearly and consistently.

Skills/Competencies:

• Proficiency with
  BigQuery
  and writing complex SQL.
• Hands-on experience with
  GCP services
  : Datastream, Cloud Functions, Cloud Storage, Pub/Sub, IAM.
• Experience with
  Terraform
  and infrastructure as code.
• Working knowledge of CI/CD principles; preferably GitHub Actions.
• Familiarity with Git-based collaboration and PR workflows.
• Ability to diagnose and resolve pipeline or function-level issues independently.
• Clear communicator who can document and explain technical processes.
• Strong problem-solving skills and a mindset for automation and scalability.

Qualifications:

• 3+ years of experience in cloud data engineering, preferably on GCP.
• Proven track record of deploying production-grade ETL/ELT pipelines.
• Proficiency in
  Python or
  for scripting and Cloud Functions.
• Experience working with modern data tools (bonus: Airbyte, dbt, Looker, Dataform).
• Familiarity with monitoring/logging tools like Cloud Monitoring, Stackdriver, or Prometheus.
• Understanding of cloud security, IAM, and access governance.
• GCP certifications (e.g.,
  Professional Data Engineer
  , Cloud DevOps Engineer) are a plus.

Work Arrangement:

• Location:
  Philippines preferred. We encourage applicants based near our office for hybrid work (2–3 days/week in office), but are open to fully remote arrangements for strong candidates.

What We Offer:

Join a fast-moving team building cloud-native data infrastructure from the ground up. Your work will directly shape our event-driven architecture and enable advanced analytics across the enterprise.

Overview:

As a Data Engineer, you will play a critical role in transforming raw data into valuable insights that drive our business decisions. You will design, develop, and maintain data pipelines and infrastructure across hybrid cloud environments, while also building robust reporting and visualization solutions.

Responsibilities:

1. Data Pipeline Development: Design, build, and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
2. Hybrid Cloud Infrastructure: Manage and optimize data infrastructure across hybrid cloud environments, leveraging cloud-native services and on-premises resources.
3. Data Quality: Ensure data quality through implementation of data validation, cleansing, and standardization processes.
4. Reporting and Visualization: Develop interactive reports and dashboards using tools like Power BI, Tableau, or Looker to provide actionable insights to stakeholders.
5. Data Governance: Adhere to data governance policies and procedures, including data security, privacy, and compliance regulations.
6. Data Modeling: Design and implement data models (e.g., dimensional, normalized) to optimize data storage and retrieval.
7. Automation: Automate data pipelines and processes using scripting languages (e.g., Python, SQL) and automation tools.
8. Collaboration: Work closely with data analysts, scientists, and business users to understand their requirements and deliver relevant data solutions.

1. Experience: Proven experience as a Data Engineer or similar role with a focus on data pipelines, cloud infrastructure, and reporting.
2. Technical Skills: Strong understanding of data engineering concepts, tools, and technologies (e.g., SQL, Python, ETL tools, cloud platforms).
3. Cloud Platforms: Experience with major cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., data warehouses such as BigQuery/Redshift, data lakes, data pipelines).
4. Data Modeling: Proficiency in data modeling techniques (e.g., dimensional, normalized) and data warehouse design.
5. Reporting and Visualization: Expertise in using reporting and visualization tools (e.g.,  Looker, Power BI, Tableau) to create interactive dashboards.
6. Problem-Solving: Ability to troubleshoot complex data-related issues and find innovative solutions.
7. Communication: Excellent communication skills to collaborate effectively with cross-functional teams.
8. Certifications: Preferred certifications (e.g., AWS Certified Data Engineer, Azure Certified Data Engineer, GCP Certified Professional Data Engineer).

Additional Skills (Preferred):

1. Experience with data warehousing and data lake technologies (e.g., Google BigQuery, Amazon Redshift, Snowflake, Databricks)
2. Knowledge of data analytics and machine learning concepts
3. Familiarity with data governance and compliance frameworks (e.g., HIPAA, GDPR, CCPA)