Data Engineering Manager — Real-Time Platform Leader

Peak6 Investments LLC

Manila

Hybrid

PHP 1,500,000 - 2,100,000

Full time

13 days ago

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Benefits offered by this job

Hybrid work schedule
Private health insurance
Life insurance
Training & development budget
Team lunches & perks

Job summary

Apex Fintech Solutions is hiring a Manager, Data Engineering to lead the Data Tools team responsible for governance and real-time data processing across our fintech platform. You will collaborate with cross-functional engineering teams and stakeholders to deliver scalable data solutions that empower trading and operational insights.

You will oversee strategic planning, architecture design, and hands-on data engineering work while mentoring engineers to achieve high performance in a fast-paced

Qualifications

  • Bachelor's degree in computer science, data engineering, or related field.
  • 6+ years hands-on data engineering experience, with 2+ years in people management.
  • Proven experience with Agile methodologies (Scrum/Kanban) and Jira/Confluence.

Responsibilities

  • Lead and manage the Data Tools engineering team, driving initiatives from conception to production for scalable, reliable data platforms.
  • Collaborate with product managers, data scientists, and leaders to define scope and deliverables across the data platform lifecycle.
  • Mentor and develop a high-performing team, fostering ownership, continuous improvement, and technical excellence.

Skills

Cloud-based data platforms
GCP
BigQuery
Snowflake
Real-time data processing
DevOps / CI-CD
Security & compliance
Leadership & mentoring
Data governance

Education

Bachelor's degree in CS/Data Engineering
6+ years data engineering experience
2+ years people management

Tools

Jira
Confluence
Git

Job description

Apex Fintech Solutions is hiring a Manager, Data Engineering to lead the Data Tools team responsible for governance and real-time data processing across our fintech platform. You will collaborate with cross-functional engineering teams and stakeholders to deliver scalable data solutions that empower trading and operational insights.

You will oversee strategic planning, architecture design, and hands-on data engineering work while mentoring engineers to achieve high performance in a fast-paced

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