Beranda Job Details
M
Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Data Engineer

Manulife
Quezon City, Metro Manila
Salary Estimate
PHP 120.000 – PHP 180.000
Live Update
28 Mei 2026
Deadline
28 Mei 2027

job description

Are you an expert in architecting robust data pipelines and looking to make a significant impact at a global financial powerhouse? Manulife is seeking a highly skilled Senior Data Engineer to join our dynamic team in Quezon City. In this role, you will play a pivotal part in designing, building, and maintaining the infrastructure that empowers our data-driven decision-making processes.

We offer a supportive and collaborative environment where innovation is encouraged, and career growth is a priority. You will work alongside top-tier talent to solve complex challenges in data engineering, cloud integration, and analytics. If you are passionate about building scalable data platforms and thrive in an organization that values employee well-being and professional development, we want to hear from you.

Responsibility

  • Design, develop, and optimize scalable ETL/ELT data pipelines using modern cloud-based technologies.
  • Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
  • Ensure data integrity, security, and compliance across all company data platforms.
  • Mentor junior engineers and promote best practices in data architecture and software engineering.
  • Maintain and monitor existing production data environments to ensure high availability and performance.
  • Drive the adoption of new technologies and methodologies to enhance data processing efficiency.
  • Troubleshoot and resolve complex data integration issues in a timely manner.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related quantitative field.
  • 5+ years of professional experience in data engineering or software development.
  • Advanced proficiency in SQL and at least one programming language (Python, Scala, or Java).
  • Extensive experience with cloud platforms (AWS, Azure, or GCP) and related big data tools (Spark, Databricks, Snowflake).
  • Deep understanding of data warehousing concepts, data modeling, and schema design.
  • Strong problem-solving skills and the ability to work independently in a fast-paced environment.
  • Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.

Required Skills

Data Engineering ETL Python SQL Cloud Architecture AWS Big Data Data Modeling Spark Databricks

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline..

Apply Now

Lowongan Terkait

Rekomendasi pekerjaan serupa untuk Anda

Lihat Semua