hirly
Sign inGet started free

Aift

Senior Data Engineer, Virtual Insurance

Taiwan

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Aift first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.6M live jobs from 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Data & ML
Seniority
Senior
Country
TW
Work mode
On-site / unstated
First seen by hirly
3 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

  • [Job Overview]
  • We are looking for an experienced Senior Data Engineer to join our engineering team and play a key role in building and scaling our enterprise data platform. You will design, develop, and maintain high-quality data warehouses and data-driven applications that power analytics, reconciliation, and business decision-making across the organization.
  • This role requires strong expertise in modern data architectures, pipeline engineering, and data quality management. The ideal candidate combines hands-on technical capability with a deep commitment to reliability, scalability, and governance in a regulated environment.
  • [Responsibilities]
  • · Data operations: own day-to-day operations of data platforms/pipelines capacity, stability, upgrades, deployments, and recovery drills to sustain high availability and low latency.
  • · Data collection: design/manage multi-source ingestion (exchanges, internal and external systems), protocol parsing, and robust retry mechanisms.
  • · Develop rule-based and statistical data quality checks (completeness, uniqueness, time alignment, anomaly detection, error handling).
  • · Implement automated remediation, reconciliation workflows, and historical backfilling.
  • · Establish monitoring and alerting frameworks to ensure trusted, production-grade datasets.
  • · End-to-End pipelines: plan and maintain scalable ETL/ELT including scheduling, caching, partitioning, modelling, schema evolution, and lineage to support both batch and real-time streaming.
  • · Enforce data access controls, encryption, auditing, and classification to comply with internal policies and external regulatory requirements (including PII management).
  • · Apply Infrastructure-as-Code, data versioning, data tests, and CI/CD to improve predictability and reduce manual risk.
  • · Contribute to embedded GenAI and LLM-powered data applications for enterprise analytics, reconciliation, and internal productivity use cases.
  • · Partner with analytics and product teams to operationalize AI-driven data solutions.
  • [Requirements]
  • · Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
  • · 5+ years of experience in data engineering, data platform architecture, or AI/ML engineering.
  • · Strong experience with modern cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
  • · Hands-on experience building BI data foundations and supporting GenAI / LLM architectures.
  • · Proficiency in SQL and workflow orchestration tools (e.g., Airflow), streaming platforms (e.g., Kafka), and pipeline design best practices.
  • · Solid understanding of data warehouse development lifecycles and dimensional modeling concepts.
  • · Familiarity with GitLab and CI/CD pipelines.
  • · Strong debugging, performance tuning, and problem-solving skills.
  • · Working knowledge of data governance, lineage, privacy, and security frameworks.
Original posting on Aift's site ↗

Listed on hirly, a job board. hirly is not the employer: Aift is hiring for this role.

Similar jobs

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job