Data Engineer

RELX International; Manila; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

RELX International is seeking a data engineer in Manila to design, develop, test, and maintain ETL/ELT pipelines that ingest data from GA4, paid media, and social platforms. You will support API and batch-ingestion workflows, manage incremental loads, and integrate data into the AWS data lake.

Applicants should have 2–5 years in data engineering, strong SQL/Python skills, and hands-on AWS experience. The role involves data governance, documentation, and collaboration with Sr.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2-5 years of experience in data engineering or related roles.
• Proficient in SQL and Python.

Responsibilities

• Develop, test, and maintain ETL/ELT pipelines ingesting data from third-party sources.
• Build and support API and batch-ingestion workflows with pagination, retries, and incremental loads.
• Ingest data into the AWS data lake and transform into reusable datasets.

Skills

SQL

Python

ETL/ELT pipelines

Data quality

Data governance

Troubleshooting

Agile

Communication

Education

Bachelor’s degree in Engineering, Computer Science, IT or related field

Tools

AWS

PostgreSQL

MS SQL Server

Oracle

JSON/CSV/Parquet

Git

Airflow

Databricks/PySpark

Job description

Job Description

ACCOUNTABILITIES

• Develop, test, and maintain ETL/ELT pipelines that ingest structured and semi-structured data from third-party sources, including GA4, paid media, social media, and other marketing platforms.
• Build and support API and batch-ingestion workflows, including pagination, rate-limit handling, retries, and incremental loads.
• Integrate web traffic, campaign, engagement, and related business data into the AWS data lake.
• Transform source data into consistent, reusable datasets using established standards for data types, normalization, deduplication, and validation.
• Monitor scheduled pipelines and troubleshoot data-quality, performance, schema, and processing issues.
• Implement data-quality checks and communicate failures, risks, and blockers to the appropriate team members.
• Work with AWS data services such as S3, Glue, Athena, and CloudWatch, or equivalent cloud technologies.
• Use Git-based development practices, including branches, pull requests, peer reviews, and controlled deployments.
• Perform unit testing and source-to-target validation for pipeline changes.
• Maintain technical documentation for data sources, mappings, transformations, business rules, and operational procedures.
• Collaborate with Sr. Engineers, reporting analysts, and business stakeholders to translate requirements into technical tasks.
• Implement established data-governance, privacy, consent, access, and retention requirements.
• Participate in Agile planning, estimation, demonstrations, and retrospectives.
• Responsibly use approved enterprise AI tools while validating generated code and protecting company and customer data.

QUALIFICATIONS

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related discipline, or equivalent practical experience.
• Typically 2-5 years of experience in data engineering, database development, software engineering, analytics engineering, or a related role.
• Working proficiency in SQL and Python.
• Experience developing or supporting ETL/ELT pipelines.
• Hands-on experience with AWS or another cloud-based data platform.
• Experience working with relational databases such as PostgreSQL, Microsoft SQL Server, or Oracle.
• Experience processing structured and semi-structured formats such as JSON, CSV, and Parquet.
• Familiarity with API ingestion, authentication, pagination, batch processing, incremental loading, and data validation.
• Familiarity with Git, pull requests, code reviews, testing, and deployment workflows.
• Ability to investigate data issues and communicate progress, risks, and blockers clearly.
• Ability to collaborate with technical and business stakeholders in a global environment.
• Strong problem-solving, organizational, documentation, and communication skills.
• Ability to work 8 hours of overlap with [Eastern/Central] US business hours
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

PREFERRED QUALIFICATIONS

• Experience with GA4 data models or APIs.
• Familiarity with marketing attribution, campaign tracking, and UTM structures.
• Experience working with paid-media or social-media APIs.
• Familiarity with AWS S3, Glue, Athena, and CloudWatch.
• Familiarity with Databricks, PySpark, Airflow, or similar data-processing and orchestration technologies.
• Experience working in an Agile environment.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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