Data Engineer AU FinTech Hybrid

Schedule: Monday to Friday (7am to 4pm PHT)

About the Role ConnectOS is seeking a highly capable Data Engineer to design, build, and optimize scalable data infrastructure that supports real-time insights and data-driven decision-making across the organization. This role focuses on modern data stack technologies, including Snowflake, dbt, and ETL tools, and requires strong ownership in building and maintaining end-to-end data pipelines and warehouse solutions.

What will you do?

Data Pipeline Engineering

• Design, build, and maintain scalable ETL/ELT pipelines using modern data tools
• Develop robust and efficient data transformations using Python and SQL
• Integrate and manage data ingestion using tools such as Fivetran or similar
• Implement data validation, testing, and quality frameworks
• Monitor, troubleshoot, and optimize pipeline performance
  
  

• Design and maintain enterprise data warehouse solutions (Snowflake)
• Build and manage dbt models (staging, intermediate, marts)
• Develop scalable data models and schemas aligned with business requirements
• Optimize query performance and data access patterns
• Maintain data documentation, lineage, and governance practices
  
  

• Implement and manage Role-Based Access Control (RBAC)
• Ensure compliance with data security and governance standards
• Maintain secure data access and handling practices
  
  

• Build and manage scalable data solutions on cloud platforms (AWS preferred)
• Utilize services such as:
• AWS S3, RDS
• AWS Lambda
• Step Functions
• Contribute to infrastructure design for reliable data systems

• Implement CI/CD pipelines for data workflows
• Leverage Infrastructure as Code (IaC) where applicable
• Automate deployment, monitoring, and operational processes
  
  

• 5-6+ years of hands-on experience as a Data Engineer
• Proven track record in designing and maintaining data pipelines and warehouses
• Strong expertise in:
• Snowflake (advanced SQL, data modeling, performance tuning)
• dbt (data modeling, testing, transformations)
• ETL/ELT tools (e.g., Fivetran or similar)
• Proficiency in Python and SQL
• Experience implementing data quality frameworks and validation checks
• Strong understanding of data security and RBAC
• Ability to work independently and deliver high-quality solutions

• Experience with:
• AliCloud (MaxCompute)
• Debezium or real-time data ingestion tools
• Exposure to analytics tools such as:
• QuickSight, Datawind, or similar platforms
• Experience with MySQL / MariaDB or other relational databases
• Hands-on experience in AWS cloud services
• Knowledge of real-time or streaming data architectures

• Strong problem-solving and analytical thinking
• Excellent communication and collaboration skills
• Ability to work in a fast-paced, cross-functional environment
• Self-driven with strong ownership mindset
• Fluent/Proficient in English language
• Mandarin is a plus
  
  

• Remote work arrangement
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA