Data Engineer

Satellite Office partners with some of the world’s leading brands to build high-performing offshore teams based in the Philippines. Our people work directly with international clients in roles that are meaningful, challenging, and rewarding. Whether you’re in customer service, IT, digital marketing, finance, or creative design, you’ll be empowered to do your best work, and build a career you can be proud of.

At Satellite Office, we’re committed to creating a workplace unlike any other, fostering growth through engaging employee programs, continuous learning and development, team-building experiences, company-wide celebrations, and world-class office spaces.

Why You'll Love Working Here :

🌟 You’re Valued.

You won’t just be a number. You’ll be part of a close-knit, collaborative team where your contributions matter.

🚀 You’ll Grow.

From day one, you’ll have access to learning opportunities, mentoring, and support to help you reach your full potential.

🎉 You’ll Belong.

We’re proud of our vibrant and inclusive culture, filled with team-building events, company-wide celebrations, wellness programs, and more.

🏢 You’ll Work in Style.

Our world-class offices are located in premium business hubs like BGC and Ortigas. Modern, comfortable, and designed to bring out your best.

💼 You’ll Work with Global Brands.

We match you with top international clients where you’ll work directly with their teams and make a real impact.

Whether you’re starting a new chapter or growing in your profession, Satellite Office is where you’ll find more than just a job. You’ll find a career you can be proud of.

We are looking for a skilled Data Engineer to design, build, and manage our data infrastructure. You will be responsible for constructing robust data pipelines that collect, process, and store data from various sources, enabling data-driven decision-making for our business units. Experience with modern cloud data platforms is highly valued.

Key Responsibilities :

• Design, construct, install, and maintain large-scale data processing systems and pipelines.
• Integrate data from disparate sources (APIs, databases, files) into a centralized data warehouse or lake.
• Develop and maintain ETL / ELT processes to ensure data is accurate, reliable, and accessible.
• Build and optimize data models for reporting and analytics tools (e.g., Power BI, Tableau).
• Work with data scientists and analysts to assist in data ingestion and preparation needs.
• Ensure data governance, security, and compliance standards are met.
• Monitor data systems performance and implement optimizations.

Qualifications :