Senior 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 Client
The client is a pioneer in medical recruitment, is seeking an experienced Tech Lead to drive their mission to enhance doctors' well-being. This is an opportunity to contribute your unique skills and expertise to create technology that truly matters, impacting lives on a daily basis
About the Role
The Data Engineer is a critical member of a small, high-performing data team. This person is responsible for the full data journey — from source systems through to the semantic data layer that powers analytics across the organization. They work closely with domain-partnered analysts to ensure data is structured, reliable, and genuinely useful for the business questions it needs to answer.
The right person starts from business context and works toward technical solutions — independently translating ambiguous requests into well-formed data that makes the business legible. They are as comfortable talking to a stakeholder about what a metric means as they are optimizing a Snowflake query.
What you'll do- Work with stakeholders and analysts to understand how the business operates and translate that understanding into well-structured, consistent data models
- Ensure data models reflect business processes and terminology — not just technical schema
- Extend and evolve the data model in a consistent, forward-looking manner that preserves coherent patterns across the platform
- Set and uphold the standard for how data is engineered from source to core layer — the craft, the patterns, and the business logic translation; be opinionated abouthow things get built, not just whether they work
- Work collaboratively across the full data stack with domain-partnered analysts; the DE takes the lead source-side, analysts take the lead consumption-side, and bothcontribute across the full stack as needed — accountability naturally increases with proximity to your area of the stack
- 5+ years of experience in data engineering, analytics engineering, or a closely related field
- Proven track record of building and maintaining data models that are used and trusted by analysts and business stakeholders
- Strong SQL skills; able to write, optimize, and review complex transformation logic
- Strong Python skills; able to work confidently across pipeline logic, scripting, and infrastructure-as-code in a production environment
- Hands-on experience with dbt (Core or Cloud) in a production environment
- Experience with Snowflake as a data warehouse platform
- Practical AWS data engineering experience (e.g., S3, Lambda, Glue, Step Functions, or similar)
- Solid understanding of ELT patterns, data modelling concepts (including dimensional modelling), and data testing approaches
- Proficiency with core development tooling: Git, GitHub, CI/CD pipelines, linters
- Familiarity with workflow orchestration and scheduling concepts
- Experience building or contributing to semantic layers for BI tools
- Experience with Airflow or comparable orchestration tooling
- Snowflake cost management and query/compute optimization experience
- Experience with data governance frameworks and practices
- Demonstrated, practical use of AI-assisted development tools (e.g., Claude Code, GitHub Copilot) embedded into daily engineering workflow — active use, not just awareness
- Demonstrated ability to work independently in a self-directed environment without requiring day-to-day task assignment from a Scrum Master or team lead.
- Proven experience navigating ambiguous business and technical challenges, with the initiative to identify, engage, and collaborate with the appropriate stakeholders to gather, define, and refine project requirements.
- Strong stakeholder management and communication skills, with the ability to translate business needs into actionable technical solutions.
- Solid experience in solution architecture, data modeling, and data warehouse design, with a strong understanding of scalable and maintainable data solutions.
- Ability to conceptualize, design, and implement effective solutions for complex or loosely defined business problems.
- Strong technical execution skills combined with architectural thinking to support end-to-end data engineering and analytics initiatives.
Our Hiring Process
We utilize AI tools to enhance hiring efficiency and ensure a fair evaluation. Consequently, candidates will engage with an AI Interviewer, supervised by Human Talent Acquisition Experts who will support your entire application journey.
Our AI Expectations: While we encourage you to use AI for CV refinement and research, we require that all interviews and assessments be completed through your own authentic effort. The use of real-time AI assistance during interviews or to complete skills tests is strictly prohibited to ensure a fair and genuine evaluation of your capabilities.
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.