78 Data Engineer jobs in the Philippines

"Must have requirements:
- At least 1-3 years experience with Data Engineering/Processing br>- Experienced with Javascript programming, Python, and SQL
- Hands on experience with Big Data or Cloud Data tools (Databricks, Hadoop, Azure Data Factory, AWS, PySpark)
- Exposure with Big Data or Cloud Data projects
Good to have:
- Exposure with AI or Machine Learning
- Experience with data engineering trainings or bootcamps"

DIRECT HIRING
br>What you'll be doing:
Develop, optimize, and maintain data pipelines and data architectures.
Perform root cause analysis on internal and external data issues, providing solutions to address business questions and identify improvement opportunities.
Build processes supporting data transformation, metadata management, dependency management, and workload orchestration.
Collaborate with product teams, data analysts, and other stakeholders to ensure data quality and alignment with business requirements.
Work with relational and NoSQL databases to develop solutions that manage large, complex datasets.
Optimize ETL processes and work with data governance teams to ensure regulatory compliance.
Monitor and improve data pipeline performance, scalability, and reliability.
Troubleshoot and resolve data-related issues, ensuring timely and accurate data availability.
Create and maintain documentation for data pipelines, architectures, and systems.
Ensure data governance practices are followed, including data validation, data lineage, and quality checks.

What we're looking for:
Must have a Bachelor’s degree in Computer Science, Statistics, Information Systems or related quantitative field. < r>3+ years of experience in a Data Engineer or Data Operations role.
Proficiency in SQL and experience with relational databases (e.g. Postgres, MySQL) and NoSQL databases
Hands-on experience building and optimizing data pipelines, data workflows and data architectures.
Experience working with cloud-based data platforms, particularly AWS services such as Redshift, EC2, RDS, and S3.
Familiarity with data integration tools such as AWS Glue, Informatica, and Talend.
Experience with scripting languages like Python, Java, etc. for data engineering tasks.
Strong understanding of data governance, data quality, and data security principles.
Excellent problem-solving, analytical skills, and the ability to interpret complex data sets.
Excellent communication skills to collaborate with cross-functional teams and non-technical stakeholders.
Strong project management and organizational skills, with the ability to manage multiple tasks effectively.
Self-motivated, proactive, and comfortable working independently and in teams.
Strong focus on data-driven decision-making and continuous improvement of data processes
Willing to work onsite (4x a week onsite, once a week remote) from our client's office in Pasay on a day shift under an initial 6-month contract, with the possibility of an extension.
Willing to start work immediately.

Job Title & Qualification: Cloud Data Engineer; 3 years of solid experience as a Data Engineer with expertise in cloud technology
br>Salary Range: Php 60, 000 to Php 80, 000 (depending on experience)

Nature of Engagement: Project-based for 6 months with a possibility of extension

Work Schedule: Hybrid (3 to 4 days a week onsite); 1-2 days work from home;

Work Location: UP Ayala Technopark, QC

Start-Date: June 2, 2025

Others: US Holidays will be observed instead of PH holidays

**Position Snapshot**
Location: Meycauayan, Bulacan, PH / Rockwell, Makati, PH
Company: Nestlé Business Services AOA, Inc.
Full-time
**Position Summary**
Joining Nestlé means you are joining the largest food and beverage company in the world. At our very core, we are a human environment - passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future.
Our Team in Nestlé Business Services is in charge of delivering world class business support to our colleagues and clients in Nestlé globally. We are committed to deliver with passion, reliability, innovation, discipline, and excellence. Are you ready to join us?
**A Day in the Life of a Data Engineer:**
As a Data Engineer at Nestlé, you will play a vital role in designing and executing data workflows for our Data Visualization Team. Your responsibilities will encompass various aspects of data management, including ETL (Extract, Transform, Load), data ingestion, wrangling, transformation, cleansing, and loading data into our data warehouse.
**Key Responsibilities:**
+ **ETL Process Execution:** Perform the Extract, Transform, Load (ETL/ELT) processes for data sources and datasets in a timely and accurate manner:
+ Ingest data from specific data sources into the data warehouse.
+ Transform datasets into usable formats for data visualization and analysis.
+ Clean and wrangle data to ensure quality and usability.
+ Assist the team in extracting and loading datasets from the data warehouse.
+ **Back-End Data Support:** Provide support for back-end data and database concerns, ensuring the seamless operation of our data warehouse infrastructure.
+ **Data Warehouse Maintenance:** Maintain the data warehouse and its infrastructure, ensuring optimal performance and reliability.
+ **Compliance Assurance:** Ensure all processes comply with Nestlé's Compliance Standards and Framework.
+ **Additional Responsibilities:** Perform other tasks as assigned in relation to your developmental plan or as required by management.
**What Will Make You Successful:**
+ Minimum of 1 year of experience in Data Analytics or a related field; fresh graduates are encouraged to apply.
+ Degree in Physics, Mathematics, Computer Science, or other related fields.
+ Proficiency in SQL and Python is required.
+ Experience with data ingestion, storage, and transformation, preferably using Azure and Snowflake.
+ Familiarity with Power BI is a plus.
If you're passionate about data and ready to contribute to Nestlé's mission of enhancing the quality of life and shaping a healthier future, this role could be a great fit for you!

Chevron is accepting online applications for the position of **Data Engineer** located in **Makati City, Philippines** through **July 31** **, 2025** at 11:59 p.m. PH Time.
**Join our Team**
Chevron invests on its people to build technical and professional competencies through various training opportunities, development programs, mentoring/coaching engagements, and certification courses. All are applied through experiential learning and actual practice while solving real business problems, but in a safe, supportive, and "fail-fast" environment.
Technology will play a crucial role in unlocking ever cleaner and more affordable sources of energy. Chevron is seeking innovative, technology professionals with a desire to thrive in the global digital environment and help us lead the global energy transition?An IT career at Chevron offers you the opportunity to work in a technical environment with a global reach. We differentiate?ourselves through the application of cutting-edge technology, and by taking a collaborative approach that includes in-house expertise, proprietary solutions, and strategic partnerships. We also offer flexible work schedules and very competitive benefits.
**Job Description:**
A **Data Engineer** designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
**As a Data Engineer, you will:**
+ Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
+ Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).
+ Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.
+ Optimize data pipelines in the Azure environment for performance, scalability, and reliability.
+ Ensure data quality and integrity through data validation techniques and frameworks.
+ Develop and maintain documentation for data processes, configurations, and best practices.
+ Monitor and troubleshoot data pipeline issues to ensure timely resolution.
+ Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.
+ Manage the CI/CD process for deploying and maintaining data solutions.
**Requirements:**
+ Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
+ Proven experience (3+ years) as a Data Engineer or similar role dealing with data and ETL processes.
+ Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.
+ Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
+ Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
+ Experience with big data technologies (e.g., Spark).
+ Strong problem-solving skills and attention to detail.
+ Excellent communication and collaboration skills.
**Preferred Qualifications:**
+ Learning agility
+ Technical Leadership
+ Consulting and managing business needs
+ Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc. is accepted.
+ Experience building spark applications utilizing PySpark.
+ Experience with file formats such as Parquet, Delta, Avro.
+ Experience efficiently querying API endpoints as a data source.
+ Understanding of the Azure environment and related services such as subscriptions, resource groups, etc.
+ Understanding of Git workflows in software development.
+ Using Azure DevOps pipeline and repositories to deploy and maintain solutions.
+ Understanding of Ansible and how to use it in Azure DevOps pipelines.
**Working with us**
There are two Chevron companies operating in the Philippines: Chevron Holdings Incorporated (CHI) and Chevron Philippines Incorporated (CPI).
CHI is a shared services center providing transactional, processing, and consulting services in the areas of finance and accounting, information technology, supply chain management, human resources, downstream customer service and marketing. Established in 1998, CHI serves Chevron affiliates in six continents around the world. Over the years, it has grown to be one of the leading members of the shared services industry in the Philippines.
CHI has received various recognitions as a top employer: the 2022 Diversity Company of the Year; 2021 Asia's Best Employer Brand Award; 2021 Global Best Employer Brand Award; 2020 HR Asia Best Companies to Work for in Asia; 2019 Circle of Excellence, Top Employer Category at Asia CEO Awards, and the 2018 Wellness Company of the Year at the same Asia CEO Awards.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
At Chevron, we are committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We constantly strive to attract, develop, and retain diverse Filipino talent. Globally, Chevron Corporation has achieved a rating of 100 percent in the Human Rights Campaign Equality Index for the past 17 years. The Index ranks American companies based on their commitment to equality in the workplace.
**Benefits**
+ Competitive salary
+ Allowances, medical and optical reimbursements
+ Health care coverage for you and your eligible dependents
+ Robust employee centred programs for health and wellness
+ Time-off to promote healthy work-life balance or to care for your family
+ Annual corporate incentive bonus when the company meets established goals
+ Recognition & awards program
+ Long-term savings plan
+ Life insurance
+ Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups
+ Hybrid work model - work remotely from home several days a week
**Connect with us:**
Facebook ( ( Chevron ( Caltex
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in San Ramon, Calif. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.

Data Engineer
**Position Title - Data Engineer**
**About Advanced Energy**
Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.
**Responsibilities:**
+ Work with business to understand their current state architecture and contributing data sources, technologies, interfaces, performance issues and system configurations.
+ Work closely with the team across the overall data warehousing program including data acquisition, data curation and data syndication.
+ Apply knowledge of the Microsoft platform tooling involved in successful Azure implementations.
+ Serve as the subject matter expert with respect to Azure, cloud applications and system administration best practices.
+ Experience designing data lakes, database schemas and data models for large scale data platform implementation on Azure.
+ Develop system integrations using, Azure Logic Apps, Integration services, Power Automate, PowerApps, etc.
+ Perform project management activities including project documentation, business requirements and project tracking.
+ Ensuring data quality and consistency through data cleaning, transformation, and integration processes.
+ Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance.
+ Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions.
+ Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information.
+ Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.
+ Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making.
+ Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities.
+ Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards.
+ Providing guidance and support for data governance, including metadata management, data lineage, and data cataloguing.
+ Tech Stack:
+ Python
+ SQL and NoSQL databases
+ Scala
+ Spark-SQL
+ Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
**Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, or a related field
+ Minimum of 5+ years of data and analytics field experience in the industries like manufacturing, engineering, supply chain with large-scale implementation experience.
+ 3-5 years in Data pipeline engineering role in Data and Analytics scope.
+ Working knowledge of Azure Analytics features such as Stream Analytics, Machine Learning and Application Insights.
+ Modelling and ETL knowledge with Erwin, Azure Databricks, Data Factory, SSIS and Azure Synapse.
+ Develop and maintain system integrations using, Azure Logic Apps, Integration Services, Power Automate, PowerApps, etc.
+ Microsoft Azure data platform experience with Power BI, Azure Data Lake, data warehouse and Data Factory.
+ Knowledge on migrating on-premises applications to Azure PaaS and Azure LaaS.
+ Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines
+ Should be well versed with Data Structures & algorithms
+ Excellent analytical and problem-solving skills.
+ Ability to work independently as a self-starter, and within a team environment.
+ Good Communication skills- Written and Verbal
As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.
**Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities.**
**We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012.**

Data Engineer
**Position Title - Data Engineer**
**About Advanced Energy**
Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.
**Position Summary**
We are seeking a talented data engineer with expertise in Power BI, Azure Data Factory, Databricks, Python, data warehousing, data lakes, and DevOps. The ideal candidate will have experience in AI and machine learning, with a passion for designing and implementing innovative solutions that drive business outcomes
**Responsibilities:**
+ Design, develop, and implement data engineering solutions using Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
+ Work collaboratively with data analysts, data scientists, and business stakeholders to understand requirements, identify opportunities for automation and optimization, and deliver innovative solutions.
+ Build and maintain efficient data pipelines, ensuring data quality and accuracy, and implement appropriate data governance and security controls.
+ Automate and streamline processes to enable faster and more efficient delivery of data-driven insights.
+ Develop and maintain DevOps processes for data engineering, including continuous integration and continuous delivery.
+ Stay up-to-date with emerging technologies and industry trends, identifying opportunities to incorporate new tools and techniques into our data engineering processes.
**Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, or a related field.
+ At least 3 years of experience in data engineering, with a focus on Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
+ Strong experience in DevOps processes, including continuous integration and continuous delivery.
+ Experience in AI and machine learning, with a proven track record of implementing data-driven solutions in a business context.
+ Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and business stakeholders.
+ Familiarity with Agile development methodologies and project management tools.
+ With passion for learning and staying up-to-date with emerging technologies and industry trends.
As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.
**Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities.**
**We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012.**

Responsibilities:

• Manage the design, development, implementation, and maintenance of the company's data sources.
• Establish and enforce data management policies to ensure the quality, integrity, and security of enterprise data.
• Design, develop, and implement ETL pipelines using various integration tools.
• Collaborate with Data Analysts to translate analytics requirements into scalable and efficient data model designs.
• Create and maintain robust data warehouse architectures to support organizational data needs.
• Ensure consistent data quality by performing routine testing and troubleshooting of ETL pipelines.
• Coordinate closely with the Application Development team to implement best practices in data processing and integration.
• Maintain comprehensive documentation of applied changes in production databases.
• Perform other tasks and projects as assigned by the Senior IT Manager.

Qualifications:

• Bachelors degree in Information Technology or a related field.
• Strong understanding and familiarity with ETL processes.
• Proficiency in data integration tools such as Oracle Data Integrator and Informatica.
• Expertise in SQL, Python, and other programming languages.
• Experience with Greenplum and Talend is a plus.
• Ability to work onsite and flexibility to extend working hours when needed.
• Proactive, detail-oriented, and capable of working effectively under pressure.

Responsibilities:

• Manage the design, development, implementation, and maintenance of the company's data sources.
• Establish and enforce data management policies to ensure the quality, integrity, and security of enterprise data.
• Design, develop, and implement ETL pipelines using various integration tools.
• Collaborate with Data Analysts to translate analytics requirements into scalable and efficient data model designs.
• Create and maintain robust data warehouse architectures to support organizational data needs.
• Ensure consistent data quality by performing routine testing and troubleshooting of ETL pipelines.
• Coordinate closely with the Application Development team to implement best practices in data processing and integration.
• Maintain comprehensive documentation of applied changes in production databases.
• Perform other tasks and projects as assigned by the Senior IT Manager.

Qualifications:

• Bachelors degree in Information Technology or a related field.
• Strong understanding and familiarity with ETL processes.
• Proficiency in data integration tools such as Oracle Data Integrator and Informatica.
• Expertise in SQL, Python, and other programming languages.
• Experience with Greenplum and Talend is a plus.
• Ability to work onsite and flexibility to extend working hours when needed.
• Proactive, detail-oriented, and capable of working effectively under pressure.