Total 3 software engineer job vacancies in Information Technology category in The Philippines

JOB SUMMARY:

We're looking for a Senior Data Engineer to design and build complex data systems independently. You'll tackle challenging technical problems - optimizing query performance at scale, architecting fault-tolerant pipelines, and building high-throughput data services with minimal guidance. This role is for experienced engineers who can take ambiguous requirements, propose solid technical solutions, and deliver production-ready systems end-to-end.

This role requires 5+ years of hands-on experience building data infrastructure in production environments. You'll work independently on substantial technical projects, make sound architectural decisions within your domain, and contribute to raising the technical bar through code reviews and knowledge sharing. You're expected to be self-sufficient in execution while collaborating effectively with engineering, analytics, and product teams.

KEY RESPONSIBILITIES:

• Data Infrastructure: Design, develop, and maintain robust data pipelines and storage systems.
• Data Quality: Ensure high data reliability, consistency, and accuracy across all data flows.
• Performance Tuning: Optimize data processing jobs and system performance at scale.
• Process & Mentorship: Improve data engineering workflows and mentor junior data engineers.
• Collaboration: Work with business analysts, data scientists and backend teams to deliver timely, usable data solutions.

JOB REQUIREMENTS:

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field.
• Experience: Minimum 5 years in data engineering or related backend engineering roles.
• Tech Stack: Proficient in Python or Java/Scala; experience with big data tools like Spark, Flink, Kafka, Airflow, and cloud platforms (AWS/GCP/Azure), good understanding of SQL.
• Data Modeling: Solid experience in building and maintaining data models, data warehouses, and ETL/ELT pipelines.
• System Design: Ability to design scalable, reliable data architectures that support analytics and real-time use cases.
• Data Governance: Familiar with best practices for data quality, security, lineage, and compliance.
• Cross-team Work: Strong communication skills and ability to work closely with product, engineering, and business analytics teams.

Soft Skills:

• Team Mindset: Contribute to shared goals and support team members with a collaborative approach.
• Ownership: Take initiative and full responsibility for delivering high-quality data solutions.
• Adaptability: Open to feedback, eager to learn new technologies, and flexible in changing environments.
• Communication: Communicate complex technical topics clearly to both technical and non-technical stakeholders.

What We Offer

• Technical Leadership Opportunities: Participate in high-impact projects and lead the design of critical systems.
• Continuous Growth: Access to mentorship, learning resources, and a clear career progression path.
• High-Performance Collaboration: Work with a talented team using modern development practices (Agile/CI-CD).
• Flexibility and Trust: An open culture that encourages innovation and autonomous decision-making.

JOB SUMMARY:

We're looking for a Data Engineer with strong software engineering fundamentals to build and scale our data infrastructure. You'll design high-performance systems that handle massive data volumes and high-concurrency workloads, optimize query engines for speed and reliability, and architect robust data pipelines. This role is for engineers who love solving distributed systems challenges and building production-grade infrastructure that processes terabytes of data daily.

This role is open to fresh graduates and early-career professionals (1–2 years of experience) who are eager to grow their skills in building scalable data systems.

Whether you’re just starting out or already have some experience, this is a great opportunity to develop your data engineering skills and contribute to impactful, data-driven decision-making.

KEY RESPONSIBILITIES:

• Design, develop and maintain data infrastructures, such as computation, query engine and services which can support massive data and high concurrency requests
• Clean, transform, and optimize raw data for storage and analysis
• Work with structured and unstructured data from various sources (databases, APIs, files, etc.)
• Plan data warehouse structure to ensure data quality, accuracy, consistency, and availability
• Optimise for the performance of the data pipeline and service to downstream
• Collaborate with business analysts, data scientists, and backend teams to provide appropriate tools
• Document data models, processes, and technical decisions

What You'll Learn:

• Real-world data engineering with modern tools like Apache Spark/Flink, Kafka, Airflow
• Working with SQL/NoSQL databases, data lakes, and cloud platforms (AWS, GCP, Azure)
• Building batch and streaming data pipelines
• Data modeling, warehousing
• Orchestration and monitoring of data workflows
• Developing high availability services
• Best practices in data governance, privacy, and security
• Collaboration in agile, cross-functional teams with product, engineering, and analytics

JOB REQUIREMENTS: