Data Engineer

• Design, build and maintain pipelines across medallion layers, from raw ingestion through reporting datasets
• Own pipelines end to end, including failure handling, monitoring, refresh schedules and team-standard implementation
• Develop readable, tested and maintainable production transformations with idempotency, safe replay, incremental logic and appropriate data modelling
• Ingest data from operational systems through gateways or equivalent connectors, handling incremental loads, schema drift and late-arriving data
• Implement data-quality checks and maintain schema consistency across layers
• Trace defects to the layer where they entered and fix root causes
• Build and tune reporting datasets, models and measures
• Collaborate with analysts and application developers to deliver actionable reporting
• Use source control and deployment pipelines; review and deploy small changes without editing in place
• Monitor, triage and support production pipelines, automating repeated manual interventions
• Specify transformations and acceptance criteria, direct coding agents, and verify generated logic against real data before release
• Keep repository context, checks and tests current based on real failures

Senior Azure Data Engineer

• Manage and optimize PostgreSQL, SQL Server, and Oracle databases for performance, security, and availability
• Design and maintain database schemas, indexes, and partitions for scalability and efficiency
• Perform database monitoring, backup, recovery, and disaster recovery planning
• Implement access control, encryption, auditing, and other security best practices
• Troubleshoot database performance issues and optimize query performance
• Ensure compliance with data governance, security policies, and industry standards
• Participate in daily standups and prioritize tasks according to business needs
• Translate business requirements into actionable data engineering tasks
• Collaborate with cross-functional teams to align Power BI and data solutions with business objectives
• Mentor team members and drive best practices in data management and reporting
• Evaluate and apply AI and automation to improve delivery speed, testing, reliability, and operational efficiency

Senior Data Engineer, PostgreSQL DBA

• Deliver well-modeled, durable datasets for requests, projects, pros, and customers
• Partner with Finance so revenue models reconcile, retain their definitions under upstream change, and are auditable
• Partner with Supply Acquisition and Business Platforms teams on their roadmaps
• Improve reliability of core pipelines through dbt tests, CI, anomaly detection, and clear contracts
• Hire and grow mid-level and senior data engineers
• Develop technical leads who can own a domain end-to-end
• Set engineering standards for review, testing, and prioritization
• Make and defend modeling and architecture decisions as a technical manager

Manager, Data Engineering

• Own the architecture for ingestion, transformation, and analytics delivery across products
• Define scalable and reusable patterns for pipelines, storage layouts, workspace structures, data modelling, and analytics
• Build production-scale pipelines across the Medallion Architecture from Bronze to Silver to Gold
• Establish data engineering standards, schema conventions, transformation patterns, naming, monitoring, and reporting-readiness criteria
• Define how coding agents are used, including specification, validation, and controls
• Develop first working versions and production code with idempotency, safe replay, incremental logic, and clean layer separation
• Deploy pipelines through source control and CI/CD, with versioning, monitoring, drift detection, alerting, and tested recovery paths
• Own platform performance, reliability, recovery, and cost as data volume grows
• Implement data quality checks and validation at each layer boundary
• Maintain consistent metric definitions and collaborate on access control, row-level security, and privacy
• Architect semantic-layer models, data marts, and shared datasets for Power BI
• Guide analysts and report developers on modelling, performance, and reuse
• Lead a small team of data engineers by guiding solution design, reviewing work, resolving complex issues, and coaching on lineage, quality, and observability
• Establish practices for a reliable, reusable, and scalable data platform

Data Engineer jobs in Philippines

Senior Azure Data Engineer

Senior Data Engineer, PostgreSQL DBA

Manager, Data Engineering

Lead Data Engineer