Data Engineer (AU, FinTech, Hybrid)

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

Must-Have

• 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

ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.

#ConnectOSCareers #JoinConnectOS #ConnectOSTech

Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age', race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.