Tasks About the Opportunity We are looking for an experienced Senior Data Engineer to join a fast-growing technology company building data-driven solutions at scale. In this role, you will design and maintain robust data infrastructure, process high-volume real-time data streams, and collaborate with cross-functional teams to support analytics and machine learning initiatives. 📍 Location: Philippines (Remote) 💰 Salary: Negotiable 📈 Seniority: Senior Level (5-10 years of experience)

Key Responsibilities

Design, build, and maintain scalable data pipelines for both real-time and historical data processing. Develop and optimize databases, data warehouses, and ETL workflows handling large-scale time-series data. Process and manage high-volume data streams (thousands of records per second). Collaborate with Product, Customer Success, Installation, and Technical Support teams to ensure data quality and business alignment. Implement monitoring, alerting, and logging systems to ensure platform reliability. Support Data Science teams by improving data accessibility and facilitating model deployment. Troubleshoot and optimize data infrastructure performance.

Requirements

Must-Have Skills Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience as a Data Engineer. Strong experience designing and scaling data infrastructure. Hands-on experience working with time-series data. Expert-level SQL skills, especially PostgreSQL and PL/pgSQL. Ability to analyze and optimize database query execution plans. Experience with ETL and data pipeline tools such as Airflow, Metaflow, or similar platforms. Experience with TimescaleDB or other time-series databases. Strong Python programming skills. Understanding of data warehousing concepts and best practices.

Preferred Qualifications

Excellent problem-solving skills. Self-driven, proactive, and quick learner. Experience supporting data science and machine learning workflows.

Benefits

What We Offer Fully remote working environment. Opportunity to work with cutting-edge data technologies. Collaborative international team. Competitive compensation package. Performance-based incentives. Comprehensive benefits package. Strong focus on learning, development, and career growth. Flexible and autonomous working culture. Recruitment Process HR Interview Hiring Manager Interview Take-home Assignment Culture Fit Interview