Data Reliability Engineer, Leading Banking Technology

Michael Page
Hong Kong, HK
On-site

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Ensured data availability and accuracy
  • Implemented end-to-end monitoring
Typical background
Experience in data engineeringBackground in finance

Transferable backgrounds

  • Coming from data science
  • Coming from data analytics

Skills & requirements

Required

Data ReliabilityEtl/elt PipelinesData QualitySchema EvolutionData LineageKubernetes

Preferred

Ci/cd PipelinesEnterprise Job Schedulers

Stack & domain

SQLPythonJavaKubernetesData LakeCollaborationProblem-solvingBankingFinance

About the role

Original posting from Michael Page

  • 2 years contract, highly renewable; Support APAC front, back office team
  • SQL, Python, Java, Kubernetes, Data Lake

About Our Client

Based in Hong Kong, you will ensure the availability, accuracy, and timeliness of data used across trading, risk, and operational teams. You will act as the first line of intervention in the Asia timezone, ensuring smooth daily operations and preventing data-related disruptions.

Job Description

  • Diagnose, mitigate, and resolve data incidents including pipeline failures, delayed loads, schema changes, and data quality issues.
  • Conduct root cause analyses, run post‑incident reviews, and maintain detailed runbooks and playbooks.
  • Implement end‑to‑end monitoring covering pipeline health, data quality checks, schema evolution detection, and data lineage.
  • Develop and optimize ETL/ELT pipelines across diverse sources, incorporating business logic, security, and retention requirements.
  • Collaborate with business analysts, Dealers, Back Office teams, and global technology colleagues to understand requirements and resolve data-related challenges.
  • Support proof-of-concept initiatives as new data technologies evolve.
  • Stay current with industry best practices to enhance reliability, automation, and efficiency.

The Successful Applicant

  • Min. 5+ years' experience in modern data engineering or data operations in finance sector.
  • Proven experience supporting and maintaining production data pipelines.
  • Strong SQL skills and practical experience with Java or another object-oriented language.
  • Experience building pipelines for data warehouse, data lake, or lakehouse architectures.
  • Familiarity with enterprise job schedulers such as Control‑M or similar.
  • Experience with CI/CD pipelines andKubernetes (preferably Red HatOpenShift).
  • Familiarity with ArgoCD, Helm, or Kustomize.
  • Strong Python skills.

What's On Offer

  • Competitive monthly salary and package
  • Additional benefits, including OT pay and traning
  • Opportunity to work in a large organization
  • Chance to contribute to impactful projects in the technology department.
  • Collaborative work environment

If you are looking to advance your career as a Data Reliability Engineer in the public sector, this is an excellent opportunity. Apply now to join this exciting temporary role in Basel!

Contact: Samantha Yiu

Quote job ref: JN-012026-6932761

Source: Michael Page careers

Similar roles