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Senior Data Engineer (GenAI)

Kwun Tong Permanent Work from Home or Hybrid View Job Description
The role will play a pivotal role in building, scaling, and optimizing the company's enterprise data platform. This position is central to powering analytics, reconciliation, governance, and data-driven decision-making across the organization.
  • Great work life balance platform with WFH policy and 20 days ALs.
  • Join a high‑impact team building the firm's next‑gen enterprise data platform.

About Our Client

Our client is a medium-sized organization specializing in the insurance industry, with a strong focus on innovation and advanced technology. The company fosters a forward-thinking environment to deliver top-tier solutions to its clients.

Job Description

  • Take ownership of day-to-day operations of data platforms and pipelines, including capacity management, stability tuning, upgrades, deployments, and recovery drills to ensure high availability and low latency.
  • Design and manage multi-source data ingestion, including external exchanges, internal systems, and third-party sources, while ensuring robust protocol parsing and retry mechanisms.
  • Build and implement rule-based and statistical data quality checks (e.g., completeness, uniqueness, time alignment, anomaly detection, error handling).
  • Develop automated remediation flows, reconciliation processes, and historical backfilling capabilities.
  • Establish monitoring and alerting frameworks to guarantee production-grade, trustworthy datasets.
  • Enforce data access controls, encryption, auditing, and data classification to comply with internal governance and external regulatory standards, including PII management.
  • Plan and maintain scalable ETL/ELT pipelines, covering scheduling, caching, partitioning, modeling, schema evolution, and data lineage for both batch and real-time streams.
  • Apply Infrastructure-as-Code, data versioning, data tests, and CI/CD practices to improve platform predictability and reduce operational risks.
  • Contribute to embedded GenAI and LLM-powered data applications supporting analytics, reconciliation, and enterprise productivity use cases.
  • Collaborate with analytics and product teams to operationalize AI-driven data solutions.

The Successful Applicant

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Extensive experience in data engineering, data platform architecture, or AI/ML engineering.
  • Strong hands-on experience with modern cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
  • Practical experience building BI data foundations and supporting GenAI/LLM architectures.
  • Proficiency in SQL, workflow orchestration tools (e.g., Airflow), streaming technologies (e.g., Kafka), and modern pipeline design methodologies.
  • Solid understanding of data warehouse development lifecycles and dimensional modeling principles.
  • Familiarity with GitLab and CI/CD pipelines.
  • Strong debugging, performance optimization, and problem‑solving skills.
  • Working knowledge of data governance, data lineage, privacy, and security frameworks.

What's on Offer

  • Competitive salary and benefits package.
  • 20 days of annual leave with WFH policy.
  • Permanent position with career growth opportunities.
  • Exposure to cutting-edge technologies within the insurance industry.
  • Collaborative and supportive work environment.



If you are ready to take the next step in your career as a Senior Data Engineer, apply now to join an innovative team in the insurance sector.

Contact
Lewis Liu
Quote job ref
JN-032026-6963272
Phone number
+85225306126

Job summary

Function
IT
Specialisation
IT Data Analysis
What is your area of specialisation?
Insurance
Location
Kwun Tong
Job Type:
Permanent
Consultant name
Lewis Liu
Consultant phone
+85225306126
Job Reference
JN-032026-6963272
Work from Home
Work from Home or Hybrid

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.