Senior Data Engineer (Mid Shift/ WFH)
Builds and maintains production data pipelines on AWS and Snowflake — CDC, data-quality checks, medallion architecture, workflow orchestration, and Terraform-based CI/CD — supporting analytics and external data products for an investment-management platform. Hired via Shore360, an Australian-owned staffing/BPO firm; mid-shift, work-from-home.
- Compensation
- Not disclosed
- Location
- Taguig, Philippines
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Degree in Computer Science, Engineering, IT, or related discipline, or equivalent practical experience
- Typically 5+ years of experience in data engineering or delivering production-grade cloud data solutions
- Strong proficiency in Python and SQL
- Hands-on AWS experience, particularly S3, DMS, Lambda, and Step Functions
- Practical Snowflake experience: SQL, Python, Tasks, RBAC, data cataloguing, data quality management
- Experience implementing CDC pipelines and handling schema changes
- Experience developing automated data quality checks and controls
- Familiarity with medallion architecture and dimensional data modelling
- Knowledge of API development and secure data delivery using API Gateway, Lambda, and REST APIs
- Familiarity with CI/CD, Terraform, Git, and CloudWatch
- Experience using AI-assisted engineering tools with validation of outputs and data safeguarding
- Strong problem-solving skills and attention to detail
- Excellent written and spoken English with asynchronous communication skills for a distributed team
- Strong understanding of data privacy, security, and governance, particularly in financial services
Nice to have
- Experience in financial services or investment management, especially with asset manager, fund, or investment data
- Previous experience working in a remote or distributed team
- Experience with analytical or AI-assisted solutions within Snowflake
Full description
About the job Senior Data Engineer (Mid Shift/ WFH)
About Shore360:
Shore360 is a 100% Australian-owned BP firm based in the Philippines, providing customized staffing and administrative support for international companies, handling recruitment, HR, IT, and office facilities so clients can focus on core business, offering transparent pricing, dedicated teams, and flexible setups.
About the Role
We are seeking a Data Engineer to join a growing digital solutions team. The successful candidate will build, maintain, and optimise an AWS and Snowflake data platform that supports internal analytics and external data products.
This role involves developing reliable data pipelines, implementing data quality controls, managing data workflows, and ensuring secure and efficient data delivery. Working closely with the Data Architect and distributed teams, the Data Engineer will help translate platform standards into scalable, production-ready solutions.
The ideal candidate has strong technical expertise in Python, SQL, AWS, and Snowflake, along with excellent communication skills, attention to detail, and a commitment to data quality, security, and operational reliability.
Key Responsibilities
- Build, maintain, and optimise production-grade data pipelines for data ingestion, transformation, and delivery using AWS and Snowflake.
- Implement Change Data Capture (CDC) pipelines and manage schema evolution across application databases and external data sources.
- Develop and maintain workflow orchestration, including error handling, retries, monitoring, alerting, and operational documentation.
- Implement automated data quality checks and controls to ensure data accuracy, consistency, and reliability.
- Design and maintain medallion architecture, including bronze, silver, and gold data layers, to support analytics and business intelligence.
- Optimise data storage, partitioning, query performance, and cloud resource usage across AWS and Snowflake.
- Develop and maintain secure, versioned APIs and data feeds for internal and external consumers.
- Contribute to CI/CD pipelines, infrastructure as code using Terraform, and environment management.
- Support data catalogue development, including data lineage, access controls, ownership, and business glossaries.
- Collaborate with the Data Architect and other stakeholders to implement platform standards and support data consumption requirements.
- Maintain technical documentation, data flow records, and operational runbooks.
- Apply AI-assisted development tools responsibly to improve productivity, code quality, and delivery efficiency while protecting sensitive information.