
Data Engineer
6 days ago
About the Role
We're looking for a highly skilled Data Engineer to join a pioneering analytics and AI engineering team for a New Zealand-based company.
This role offers the opportunity to work on cutting-edge big data and cloud solutions that power insights used around the world.
You'll help design and build end-to-end data systems and services—from ingestion pipelines to APIs—using AWS, Java/Python, and modern data frameworks. You'll collaborate closely with talented engineers, data specialists, and product managers in a fast-paced and supportive environment.
Key Responsibilities
- Design, develop, and maintain data pipelines and ETL/ELT processes for large-scale analytics and reporting systems.
- Build and optimize data infrastructure for scalability, performance, and cost-efficiency using AWS and related tools.
- Develop and maintain RESTful APIs and data services to support analytics platforms.
- Work with cross-functional teams to translate business requirements into robust data-driven software solutions.
- Implement Infrastructure as Code (Terraform) and ensure automation through CI/CD pipelines (GitHub Actions).
- Collaborate with product and operations teams to ensure high availability, security, and data quality across environments.
- Support ongoing improvements, documentation, and adherence to best practices in software and data engineering.
Qualifications
- 3+ years of experience in data engineering or software development roles.
- Proficiency in AWS services (e.g., Glue, Lambda, Kinesis, EMR, Redshift) and cloud-native architectures.
- Strong programming experience in Java and/or Python.
- Solid background in SQL, data modeling, and working with structured/unstructured data.
- Experience with streaming and batch data pipelines (e.g., Kafka, Flink, Spark).
- Familiarity with Terraform, Docker, and microservices architecture.
- Knowledge of CI/CD, testing frameworks, and Git-based workflows.
- Excellent communication and collaboration skills; proactive and detail-oriented.
Why Join Us
Day-shift schedule – enjoy work-life balance while collaborating with New Zealand-based teams.
Pioneering account – be part of the first core PH team with direct visibility and impact.
Career growth – strong potential for promotion and skill advancement.
Exposure to global-scale systems – work on real-time data and IoT analytics impacting international users.
Job Types: Full-time, Permanent
Benefits:
- Additional leave
- Health insurance
- Life insurance
- Opportunities for promotion
- Paid training
- Pay raise
- Promotion to permanent employee
- Work from home
Application Question(s):
- May I know the reason why you are now actively looking for a job, and how much was your last basic pay, including allowances and benefits?
- What is your expected salary?
- Are you willing to report onsite 3 days a week in Pasig and 2 days WFH?
- How soon can you start working with us?
- Please provide your active email address?
Experience:
- Software/Data Engineering: 3 years (Required)
- Java Programming (backend services): 3 years (Required)
- Cloud Platforms (AWS or Azure): 3 years (Required)
- Big Data / ETL/ELT Pipelines (batch/streaming): 3 years (Preferred)
- Microservices & Containerization: 2 years (Preferred)
- SQL (T-SQL / ANSI SQL, query tuning, performance opt):: 1 year (Preferred)
- CI/CD Pipelines (GitHub Actions or similar):: 1 year (Preferred)
- Snowflake, dbt, Apache Iceberg:: 1 year (Preferred)
Work Location: In person
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