Senior Data Engineer_Hybrid_Dayshift_BGC_Up to 170K
At WeSource · Taguig, Metro Manila, Philippines
Salary: ₱170,000.00
- Full-time
- Senior
Where you’ll work
Hybrid, based in Taguig
“Taguig, Metro Manila, Philippines”
From the location.
“This is a Hybrid work following a Dayshift schedule.”
From the job description.
Hybrid means some days in the office. The listing says how many, and where.
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- First seen by us
- 15 October 2026
- Last checked
- 8 hours ago
Job description
From WeSource’s job post, as they wrote it.
We are hiring for a Senior Data Engineer for a client based in BGC.
This is a Hybrid work following a Dayshift schedule.
Salary is up to ₱170,000.00 based on experience.
Key Requirements:
* 7+ years of experience in data engineering or a similar role, preferably in the financial industry
* Bachelors or Masters degree in Computer Science, Information Technology,
* Engineering, or a related quantitative discipline from a top-tier university
Read the full description
* Certified in AWS Data Engineer Specialty or AWS Solutions Architect Associate
* Snowflake SnowPro Core Certification
* Strong understanding or hands-on experience with Enterprise Agile frameworks (e.g.,Kanban, SAFe, SCRUM)
* Solid understanding of ETL, data warehousing, BI (e.g., Qlik), and advanced data analytics concepts
* Deep knowledge of cloud-enabled technologies such as AWS RDS, AWS Fargate, etc.
* Experience with databases and data warehouses including Snowflake, PostgreSQL, and MS SQL
* Strong programming skills with advanced knowledge of Java and/or Python
* Practical experience with ETL tools such as AWS Glue
* Excellent critical thinking, analytical, and problem-solving skills
* Strong communication skills with a team-oriented mindset
Responsibilities:
Design
* Analyze internally and externally sourced raw data to generate BI and advanced analytics datasets based on stakeholder requirements
* Design data pipelines to curate sourced data into the in-house data warehouse
* Develop data marts to facilitate dataset consumption from the in-house data warehouse by business and IT stakeholders
* Design data model changes in alignment with in-house data warehouse standards
* Define and plan migration execution activities to transition data from existing database solutions to the in-house data warehouse
Engineer
* Perform regular housekeeping of raw data and data stored in the in-house data warehouse
* Build and maintain data pipelines and data platforms
* Develop data solution prototypes to support evolving business needs
* Explore methods to enhance data quality and reliability
* Identify and pursue opportunities to acquire higher-quality raw data
* Develop analytical tools to support BI and advanced analytics activities
* Execute data migration from existing databases to the in-house data warehouse
* Promote and champion data engineering standards and best-in-class methodologies
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