Remote Data Operations Engineer: Build Reliable Pipelines

Lewis Personnel Management; Metro Manila; Remote; PHP 900,000 - 1,500,000; Full time

Job summary

Lewis Personnel Management is seeking a Data Operations Engineer to own data products supporting business and engineering needs. You will design and maintain data ingestion and transformation pipelines, manage schemas, and ensure data quality in a remote, collaborative environment.

You will work closely with engineering and customers, applying automation, testing, and best practices to improve reliability. The modern stack includes Elixir, Ruby, Python, dbt, Airflow, Broadway, PostgreSQL, and

Qualifications

• 2+ years of professional production experience with Elixir or Ruby for data projects.
• 2–3+ years in Data Engineering, Data Science, Data Analytics, or similar roles handling large-scale data.
• Hands-on experience with relational databases such as PostgreSQL or SQLite.

Responsibilities

• Manage source data through data generation, schema management, and source configuration.
• Design and maintain data ingestion pipelines that normalize and transform client data into standardized schemas.
• Implement data validation and quality processes to ensure reliable and consistent datasets.
• Monitor data pipelines and troubleshoot data-related issues in production.
• Work directly with customers to understand data requirements, resolve issues, and configure the platform accordingly.
• Collaborate with engineering and business teams to gather feedback and continuously improve data operations.
• Apply automation, testing, and operational best practices to improve reliability and efficiency.
• Maintain clear technical documentation and communicate project updates, questions, and issues effectively.
• Contribute to continuous improvement through experimentation, feedback, and iterative problem-solving.

Skills

Elixir or Ruby development

SQL & PostgreSQL

Data ingestion & pipelines

Job description

Lewis Personnel Management is seeking a Data Operations Engineer to own data products supporting business and engineering needs. You will design and maintain data ingestion and transformation pipelines, manage schemas, and ensure data quality in a remote, collaborative environment.

You will work closely with engineering and customers, applying automation, testing, and best practices to improve reliability. The modern stack includes Elixir, Ruby, Python, dbt, Airflow, Broadway, PostgreSQL, and