Data Engineer

RELX INC; Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

RELX INC is seeking a data engineer to develop, test, and maintain ETL/ELT pipelines ingesting data from GA4, paid media, and social platforms. You will build API/batch ingestion workflows, transform data for a consistent data lake, and monitor pipeline health.

You will work with AWS services (S3, Glue, Athena, CloudWatch), collaborate with engineers and analysts, and ensure data governance and quality across global stakeholders. 2–5 years in a related field is expected.

Qualifications

• Bachelor's degree 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.

Responsibilities

• Develop, test, and maintain ETL/ELT pipelines ingesting data from GA4, paid media, and social platforms.
• Build and support API and batch-ingestion workflows, including pagination, retries, and incremental loads.
• Integrate data into the AWS data lake (S3, Glue, Athena, CloudWatch).
• Transform source data into reusable datasets with standardization and deduplication.
• Monitor pipelines and troubleshoot data-quality, performance, and schema issues.
• Implement data-quality checks and communicate failures and blockers.
• Collaborate with Sr. Engineers, analysts, and stakeholders to translate requirements into tasks.
• Use Git-based development practices with branches and pull requests.
• Perform unit testing and source-to-target validation for pipeline changes.
• Maintain technical documentation for data sources, mappings, transformations, and rules.
• Collaborate with teams to adhere to data-governance, privacy, consent, access, and retention requirements.
• Participate in Agile planning, estimation, demos, and retrospectives.
• responsibly use approved enterprise AI tools while validating generated code and protecting data.

Skills

SQL

Python

Data engineering

Education

Bachelor's degree in Engineering/CS or related

Tools

AWS

PostgreSQL

MS SQL Server

Oracle

Parquet

Glue

Airflow

Databricks

PySpark

Git

S3

CloudWatch

Job description

Manila

Full time

R119223

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.

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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.

Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.

Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.