Systems Integration Engineer

Philippine Batteries Incorporated; Quezon City; In loco; PHP 900.000 - 1.300.000; Tempo pieno

Descrizione del lavoro

Philippine Batteries Incorporated seeks an experienced Data Integration Engineer to design and maintain integrations across SAP/ERP, POS, CRM, IoT, and other platforms. You will define ingestion patterns, build lakehouse ingestion, and ensure secure, monitored interfaces with reliable data delivery.

The role emphasizes incident response, data-freshness SLAs, and collaboration with IT, plant operations and vendors for secure connectivity and accurate data handover to the data engineering layer.

Competenze

• Bachelor's degree in Computer Science, IT, Computer/Electronics Engineering or related field.
• Three+ years in systems integration, ETL or data ingestion engineering; experience with SAP/ERP extraction, POS or retail systems, REST APIs, cloud storage and messaging, or industrial IoT/PLC-SCADA data capture.
• Preferred: Databricks Data Engineer Associate and cloud-platform certifications (Azure/AWS/GCP); optional SAP integration or industrial protocol training.

Mansioni

• Design and maintain integrations across SAP/ERP, POS, CRM, mobile and web platforms, cloud services, file sources, APIs, IoT, PLC/SCADA, CCTV/NVR estates.
• Define source-to-target contracts, ingestion patterns, batching and streaming approaches, and schema-change handling.
• Build ingestion into the Lakehouse in line with enterprise engineering standards.
• Implement monitoring, alerting, retry, backfill, reconciliation and recovery for every production interface.
• Maintain data-freshness service levels and publish interface health.
• Own incident response and root-cause analysis for integration failures, and maintain operational runbooks.
• Implement secure connectivity, credential management, encryption and least-privilege access per Cybersecurity policy.
• Implement reconciliation controls to prove completeness and data accuracy against the source.
• Coordinate with source-system owners, IT Infrastructure, Cybersecurity and vendors on access, change windows and support.
• Document enterprise source-system discovery and integration status; maintain interface monitoring, alerting, reconciliation controls and health reporting.
• Ensure data-freshness service levels and high-quality handover to the data engineering layer.
• Maintain source-system inventory and integration backlog.

Conoscenze

Python

SQL

Databricks

Spark

APIs

CI/CD

Formazione

Bachelor's degree in Computer Science, Information Technology, Computer or Electronics Engineering, or a related field

Strumenti

Databricks

Spark

Delta Lake

APIs

Infrastructure as Code

Monitoring & Logging

Descrizione del lavoro

• Design and maintain integrations across SAP and ERP, POS, CRM, mobile and web platforms, cloud services, file sources, APIs, IoT, PLC/SCADA, CCTV and NVR estates, and other operational technologies.
• Define source-to-target contracts, ingestion patterns, batching and streaming approaches, and schema-change handling.
• Build ingestion into the Lakehouse in line with enterprise engineering standards.

Reliability and operations

• Implement monitoring, alerting, retry, backfill, reconciliation and recovery for every production interface.
• Maintain data-freshness service levels and publish interface health.
• Own incident response and root-cause analysis for integration failures, and maintain operational runbooks.

Security and control

• Implement secure connectivity, credential management, encryption and least-privilege access in line with Cybersecurity policy.
• Implement reconciliation controls that prove completeness and accuracy against the source system.

Coordination

• Work with source-system owners, IT Infrastructure, Cybersecurity and vendors to agree access, change windows and support arrangements.
• Support enterprise source-system discovery and document what is and is not yet integrated.
• Production integrations with documented source-to-target specifications.
• Interface monitoring, alerting and reconciliation controls.
• Data-freshness service levels and published interface health reporting.
• Incident runbooks and post-incident reviews.
• Source-system inventory contributions and integration backlog.

Accountability and Success Measures

• Integration reliability and recoverability.
• Completeness and accuracy of ingested data against source.
• Secure and compliant connectivity.
• Timeliness against agreed data-freshness service levels.
• Quality of handover to the data engineering layer.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Computer or Electronics Engineering, or a related field.
• Three or more years in systems integration, ETL or data ingestion engineering. Experience with at least two of: SAP/ERP extraction, POS or retail systems, REST APIs, cloud storage and messaging, or industrial IoT and PLC/SCADA data capture.
• Preferred: Databricks Data Engineer Associate, cloud platform associate certification (Azure/AWS/GCP). Optional: SAP integration or industrial protocol training.

Technical Skills

• Python and SQL.
• Databricks and Spark; Delta Lake ingestion patterns.
• API integration, authentication patterns and file-based ingestion.
• Message and streaming technologies; change data capture.
• IoT and OT data acquisition, including PLC/SCADA historians (for manufacturing-assigned positions).
• Edge and video-source acquisition — CCTV and NVR estates, sensing devices, and persisting derived events rather than raw streams.
• Orchestration, CI/CD, version control and infrastructure-as-code basics.
• Monitoring, logging and reconciliation design.
• Operational discipline — treats production reliability as the primary output.
• Methodical troubleshooting under time pressure.
• Clear documentation habits.
• Collaborative working across IT, plant and vendor boundaries