Hey, mabuhay! 👋

Thanks for dropping by. We know looking for the right job can feel like being stuck in EDSA traffic, so we’ll keep it moving and get straight to the point.

With over 8 million downloads and a powerful network of thousand of dedicated biker-partners, we are a leading ride-hailing platform operating across the Philippines. Our vision is to end poverty in the Philippines through revolutionary transportation solutions. We aim to provide our customers with convenient, reliable, and safe rides, impacting millions of lives positively every single day.

Now, we're looking for a Junior Data Engineer. As a Junior Data Engineer, you will play a crucial role in building and maintaining the data foundations that support analytics, reporting, and machine learning initiatives. This role is responsible for helping transform raw data from multiple sources into reliable, high-quality, and business-ready datasets that enable better decision-making across the organization. Working closely with data engineers, data analysts, and ML engineers, the Junior Data Engineer will support the development of data pipelines, data quality processes, and monitoring practices in a cloud-based environment. This role is ideal for someone eager to grow in data engineering, contribute to production-grade data solutions, and continuously learn modern tools, processes, and best practices.

Responsibilities:

• Develop, maintain, and optimize ETL/ELT data pipelines using SQL and Python
• Collect and integrate data from multiple sources, including batch and near real-time systems
• Transform raw data into clean, validated, and business-ready datasets for analytics and machine learning use cases
• Implement data quality checks, validation, and QA processes to ensure data accuracy and reliability
• Write, test, and maintain SQL and Python code to support scalable and dependable data workflows
• Monitor data pipelines and assist in incident investigation, incident management, troubleshooting, and resolution
• Collaborate with data analysts, ML engineers, and other stakeholders to support evolving data requirements
• Contribute to documentation, knowledge sharing, and continuous improvement of data engineering practices
• Adhere to company policies and procedures
• Achieve or exceed targets and key objectives assigned by your Immediate Superior
• Accept other associated responsibilities and projects as the need arises.

At Angkas, we believe in giving our people the trust and flexibility to work in a way that helps them and their teams perform at their best. Whether you’re working onsite, remotely, or in a hybrid setup, we provide the flexibility, you bring the drive. ⚡

Let’s get this show on the road!🚦

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, Information Systems, or prior experience in software development

• At least 1 year of Experience

Technical Skills

• Basic experience with cloud platforms (GCP preferred)

• Working knowledge of SQL and Python

• Exposure to ETL/ELT concepts and data pipeline development

• Familiarity with version control (Git)

• Basic understanding of DevOps practices, such as:

• CI/CD pipelines

• Infrastructure as Code (e.g., Terraform)
• Awareness of agile software development methodologies

Operational Knowledge

• Familiarity with incident management concepts, such as monitoring, alerting, and issue escalation in production systems
• Willingness to learn monitoring, alerting, and production support practices

Soft Skills

• Clear and effective communication skills
• Ability to collaborate with cross-functional teams
• Adaptable and eager to learn new tools and technologies
• Good problem-solving mindset and attention to detail

Nice to Have (Optional)

• Experience with BigQuery, Airflow, or similar orchestration tools

Benefits

Work your way – Enjoy flexibility and the freedom to thrive in your role.

Work-life balance – Build a career without sacrificing your personal life.

Free perks – Fuel up with free meals and stay active with gym access.

Grow fast – Unlock career advancement and promotion opportunities.

Get rewarded – Earn a competitive salary with opportunities for pay increases.

Start-up energy – Be part of a fast-moving, innovative team where your ideas matter.

Global vibes – Collaborate with a diverse, multicultural team in an agile workplace.

Tech-driven culture – Work with modern tools and cutting-edge technology that keep you ahead of the game.