Data Engineer

 About Penbrothers 

Penbrothers is an HR & remote talent management partner and one of the fastest-growing companies in the Philippines. We provide talented Filipinos with global opportunities in high-growth startups and dynamic companies, from the comfort of their own homes.

 

About the Role

We are looking for a Data Engineer to design and build our data infrastructure on Google Cloud Platform, following a Medallion (Bronze, Silver, Gold) architecture. This role will own the pipelines, transformation logic, and governance layer that turn raw data from our core business systems into clean, trusted, analytics-ready datasets — and will be expected to work at a modern pace by using AI coding tools as a core part of the development workflow.

 

• Design, build, and maintain scalable ELT/ETL pipelines across the Bronze (raw), Silver (cleansed/conformed), and Gold (business-ready) layers of our BigQuery-based Medallion architecture.
• Own ingestion patterns from core business systems (e.g., CRM, ATS, helpdesk, ERP/finance platforms) into the Bronze layer, using batch loads and, where needed, streaming ingestion (Cloud Storage, BigQuery, APIs, etc.)
• Build, test, and maintain dbt models (staging → intermediate → marts) that transform Bronze data into governed Silver and Gold datasets, with documentation and automated tests for every model.
• Implement data quality controls: schema drift detection, deduplication, null/referential checks, and quarantine/error-handling routines across all layers.
• Use Dataplex / Data Catalog to classify, tag, and govern datasets, and to maintain data lineage and metadata documentation for audit and compliance purposes.
• Write and maintain Python-based pipeline code (Cloud Functions, Cloud Run jobs, Airflow/Cloud Composer DAGs), using AI coding assistants to accelerate development, while still applying sound engineering judgment, testing, and peer review to anything AI-generated.
• Orchestrate, schedule, and monitor pipeline dependencies and SLAs, and respond to pipeline failures or data incidents.
• Partner with BI/Analytics and business stakeholders to define and design the Gold-layer data models that power dashboards, KPIs, and self-serve reporting.
• Build and maintain CI/CD pipelines for data workflows (Cloud Build / GitHub Actions) and manage BigQuery datasets, IAM, and infrastructure using version-controlled, infrastructure-as-code practices (e.g., Terraform).
• Monitor and optimize BigQuery cost and performance (partitioning, clustering, slot/reservation usage, query tuning).
• Apply data governance, access control, and data-boundary safeguards appropriate to a multi-client environment where data segregation and compliance matter.
• Document data models, pipeline architecture, and operational runbooks; contribute to team engineering standards and code review practices.

What You Bring:

• 2+ years of hands-on experience in data engineering, building and operating production data pipelines.
• Strong proficiency in SQL and Python, with demonstrated experience designing ETL/ELT pipelines.
• Demonstrated, active use of AI coding assistants (e.g., Claude, GitHub Copilot, Cursor) for writing, debugging, and optimizing Python and SQL code — able to prompt effectively and critically review AI-generated output rather than accepting it blindly.
• Solid grounding in data modeling concepts: dimensional modeling, star schema design, slowly changing dimensions, etc.
• Knowledge of Data Visualization tools like Looker, Looker Studio, Power BI, or a similar Data Viz tool.
• Strong analytical and troubleshooting skills; comfortable resolving ambiguity across multiple source systems.
• Strong English communication skills, both written and verbal, for cross-functional collaboration.

Nice to have:

• Hands-on experience with the Google Cloud Platform data stack: BigQuery, Cloud Storage, Dataplex/Data Catalog, Pub/Sub, Cloud Composer (Airflow), and Cloud Functions or Cloud Run.
• Experience integrating SaaS platforms (e.g., HubSpot, NetSuite, Zoho, Salesforce) into a cloud data warehouse.
• Experience with version control and CI/CD for data workflows (Git, BitBucket, or Cloud Build).
• Experience with data quality/testing tooling (dbt tests, GCP Dataplex, or similar).
• Direct experience implementing or working within a Medallion (Bronze/Silver/Gold) or comparable layered data architecture.
• Practical, production experience with dbt (Core or Cloud) — model layering, testing, documentation, and Git-based workflows.
• Working knowledge of data governance, access control, and metadata/lineage management.
• Exposure to streaming/event-driven data pipelines (Pub/Sub, Dataflow).
• Terraform or other infrastructure-as-code experience.
• Google Cloud certification (Professional Data Engineer or equivalent).

 

Our Hiring Process & AI Disclaimer: We use AI tools to streamline our application process—including an initial conversation with an AI Interviewer. All hiring decisions are made entirely by humans: our Talent Acquisition team guides your full candidate journey and makes all evaluation decisions.

You are welcome to use AI for CV refinement and research, but real-time AI assistance during interviews or skill assessments is strictly prohibited to ensure an authentic evaluation. 

Read our full AI Disclaimer to learn more

 

What You’ll Get

At Penbrothers, we are obsessed with creating positive employee experiences. Here you’ll find an environment that nurtures learning and provides opportunities for growth. You’ll have the opportunity to make an impact on fast-growing startups and dynamic companies. 

·   Meaningful work & Growth: We take every opportunity to stretch ourselves and deliver an excellent client experience. 

·   Employee as our biggest asset: We are genuinely invested in our people’s career and welfare.

·   Global reach & local impact: Get to work with high-growth startups and dynamic companies from the comfort of your own home. 

·   Powering global startups: We’ve created 1,400 Filipino jobs that empower global start-ups to focus on growth.