Senior GCP Data Engineer - Remote & Flexible Hours

Lingaro Group Philippines; Metro Manila; Remote; PHP 1,674,000 - 3,571,000; Part time

Benefits offered by this job

Established global technology partner

Flexible collaboration model and hours

Diverse, inclusive community

Autonomy in how you work

Job summary

Lingaro Group Philippines is seeking a senior data engineering contractor to design, build, and optimize a GCP data ecosystem for client projects. You’ll model data, implement pipelines in BigQuery and Cloud Functions, and work closely with clients to translate requirements into scalable solutions.

Responsibilities include data storage architecture, performance tuning, and troubleshooting across data lakes and warehouses, with the flexibility of up to 50% workload and equipment supplied by

Qualifications

• 8+ years of experience as a Data Engineer or similar
• Proficient in Python and SQL
• Deep knowledge of GCP services (BigQuery, Cloud Functions, Dataflow)
• Experience building data pipelines and data modeling for analytics
• Familiarity with data quality checks and data governance

Responsibilities

• Design, model and develop the GCP data ecosystem for client projects
• Gather, analyze and document business/technical requirements with clients
• Model data and build robust data pipelines and storage solutions
• Optimize data lakes/warehouses for performance and cost
• Troubleshoot data processing and infrastructure issues and monitor system health

Skills

GCP Data Engineering

Python

SQL

Data Modeling

Education

Bachelor's in CS/IT or related

Tools

BigQuery

Apache Airflow

Dataplex

Looker / BI

Job description

Lingaro Group Philippines is seeking a senior data engineering contractor to design, build, and optimize a GCP data ecosystem for client projects. You’ll model data, implement pipelines in BigQuery and Cloud Functions, and work closely with clients to translate requirements into scalable solutions.

Responsibilities include data storage architecture, performance tuning, and troubleshooting across data lakes and warehouses, with the flexibility of up to 50% workload and equipment supplied by