You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.

At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.

When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients lives.

Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Operate, monitor and continuously improve production data workloads serving SLHK. Manage schedules and SLAs, execute controlled changes, lead first‑line incident response, and support data quality checks with complete evidence.

Key Qualifications:

Should have at least 8+ years of experience
3-6 years in DataOps/ETL operations hands‑on with enterprise schedulers (e.g., Control‑M) and production support.
Working SQL and Cloud data familiarity exposure to Data Quality, Lineage and Metadata processes is a plus.

Key Responsibilities:

Scheduling & Monitoring - Own daily/weekly schedules in the enterprise scheduler maintain calendars/dependencies implement health checks and alerts (e.g., Control‑M).
Incident & Problem Management - Triage and restore service capture RCA and prevention actions maintain runbooks/knowledge base.
Change & Release Execution - Execute deployments/config changes under change controls with complete evidence and rollback plans.
Data Quality Operations Support - Run DQ checks and reconciliations, file evidence, and track remediation with DG/DQ leads.
Service Reporting - Publish job success/latency/SLA compliance automate to reduce manual toil.

Job Category:

IT - Application Development

Posting End Date:

29/11/2026

Data Operations Senior Engineer