Data Engineer

Posted:
5/13/2026, 4:13:13 PM

Location(s):
Metro Manila, Philippines ⋅ Manila, Metro Manila, Philippines

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Workplace Type:
On-site

Data Engineer


Experience: at least 5 years relevant experience 

Job Mode: Contract

Work Mode: Hybrid | 3x onsite per week in BGC 

                                                                                                                                            

Key Responsibilities

Daily Operations & Support

  • Perform monitoring, troubleshooting, and resolution of data pipeline issues across SQL, SSIS, Azure Data Factory, Databricks, and Azure Synapse.
  • Respond to market-raised support tickets and operational requests in a timely manner.
  • Execute routine data checks, validation tasks, and scheduled operational activities.

Development & Maintenance

  • Work on SQL queries for data extraction, validation, and minor optimization tasks.
  • Assist in SSIS package maintenance, debugging, and enhancements.
  • Participate in development tasks related to Azure Data Factory pipelines and mappings.
  • Support updates to Azure Storage structures, file validations, and data housekeeping tasks.
  • Python coding

Cloud Platform Operations

  • Perform basic administrative tasks in Azure Synapse workspace (monitoring, pipeline checks, SQL pool usage).
  • Monitor and troubleshoot Azure Data Factory pipeline executions and triggers.
  • Provide support in storage operations such as file movements, folder setup, and access checks.

.

 

 

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.