Senior Data & AI Platform Engineer

VBP

. Own end-to-end production data pipelines from design and development through deployment, monitoring, troubleshooting, and ongoing maintenance .

Posted 9/29/2026full-timeCebu City • PhilippinesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining end-to-end data pipelines using Python, GCP, and AWS, with a strong focus on PostgreSQL solutions and data security practices. Capable of translating business requirements into technical solutions while ensuring high accountability and ownership in a collaborative environment.

Highest-signal resume keywords

Python DevelopmentData EngineeringPostgreSQL SolutionsGCP and AWS ExperienceData Pipeline Troubleshooting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentAPI IntegrationPostgreSQLCloud SolutionsData IngestionDatabase MigrationsJSONB StructuresData SecurityAccess ControlDocument Processing

Soft Skills

Technical OwnershipCollaborationProblem Solving

Tools & Technologies

GCPAWSCloud RunCloud FunctionsCloud SQLPub/SubBigQueryCloud SchedulerDocument AIMCP Servers

Industry Keywords

Data PrivacyFinancial DataProduction Data PipelinesIntegration ProblemsSensitive Information

Tech Stack

Tools & technologies

AWSBigQueryCloudGoogle Cloud PlatformPostgresPythonSQL

About the role

Key responsibilities & impact

Own end-to-end production data pipelines from design and development through deployment, monitoring, troubleshooting, and ongoing maintenance
Build and maintain Python-based data ingestion pipelines from third-party APIs and sources including client data, documents, and call transcripts
Consolidate data into a centralized PostgreSQL environment
Design, develop, and maintain cloud-based data solutions using GCP and/or AWS, including Cloud Run, Cloud Functions, Cloud SQL, Pub/Sub, BigQuery, Cloud Scheduler, and Document AI
Investigate and resolve production pipeline failures, data issues, and integration problems
Develop and maintain advanced PostgreSQL solutions, including complex or large views, JSONB structures, migrations, roles, grants, and database-level access controls
Build and support document-processing and AI/LLM pipelines processing large volumes of client documents
Implement production LLM features and methods for evaluating AI-generated output quality and accuracy
Build or maintain MCP servers/tools enabling AI applications to interact with business data
Design secure, scoped, fail-closed APIs for accessing sensitive financial information
Apply privacy, security, access controls, and auditability when handling sensitive Australian client financial data
Work with Pivot Wealth's Sydney-based stakeholders, advisers, brokers, and engineering team to translate business requirements into technical solutions
Operate with high technical ownership and accountability in a small engineering environment

Requirements

What you’ll need

5+ years of Python experience is preferred, but strong hands-on skills and relevant Data Engineering experience matter more than tenure
Strong professional experience in Data Engineering, particularly the development and ownership of production data pipelines
Experience developing data ingestion & integrations using third-party APIs, rather than relying primarily on low-code/no-code integration tools
Hands-on cloud experience with GCP and AWS
Strong experience with PostgreSQL, ideally including JSONB, complex or large views, database migrations, roles and grants, and SQL/database access controls
Demonstrated experience owning, troubleshooting, and resolving data pipeline issues in production
Experience building and maintaining complex end-to-end data pipelines, including API, document, or similar ingestion workflows
Strong understanding of data security, privacy, authentication, authorization, and access control, particularly when dealing with sensitive information

Benefits

Comp & perks

500K per incident HMO coverage + Dental & Optical benefits
2-week paid Christmas vacation
Electricity and Data subsidies
25K Educational Assistance
Training and equipment will be provided
Fixed Schedule of Mon-Fri from 7 AM to 4 PM