Data Engineer - WFH

Lennor Group

1d • Remote

About The Position

Our brand, Lennor Metier Consulting, a DOLE-licensed headhunting and recruitment agency in the Philippines, is proud to partner with a leading service provider in Australia in their search for a Data Engineer based in the Philippines. This role requires hands-on experience to design, build, and maintain scalable data pipelines and data platforms across multi-cloud environments (Google Cloud Platform and AWS). The Data Engineer will work closely with analytics, BI, and product teams to ensure data is reliable, secure, and analytics-ready.

Requirements

• Minimum 5 years of experience as a Data Engineer or similar role
• Strong proficiency in SQL and data modelling
• Hands-on experience with GCP (e.g. BigQuery, Cloud Storage, Dataflow) and AWS (e.g. S3, Redshift, Glue, Lambda)
• Experience building and maintaining batch and/or streaming data pipelines
• Solid understanding of data warehousing concepts and architectures
• Experience working in Agile or iterative delivery environments
• Strong problem-solving skills and attention to detail
• Experience with Python or similar scripting languages

Nice To Haves

• Exposure to workflow orchestration tools (e.g. Airflow)
• Experience supporting BI or reporting tools (e.g. Looker Studio, Tableau, Power BI)
• Familiarity with DevOps or CI/CD practices for data platforms
• Experience working in regulated or data-sensitive environment

Responsibilities

• Design, develop, and maintain scalable and reliable data pipelines across GCP and AWS
• Build and optimise ETL/ELT processes for structured and semi-structured data
• Develop and manage data models optimised for analytics and reporting use cases
• Integrate data from multiple sources including APIs, databases, cloud storage, and third-party platforms
• Ensure data quality, consistency, performance, and reliability
• Collaborate with BI, Analytics, and Engineering teams to support reporting and insights
• Implement and maintain data security, access controls, and governance standards
• Monitor data pipelines, troubleshoot issues, and improve system performance
• Contribute to documentation, best practices, and continuous improvement initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1-10 employees