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Data & AI - Data Engineer

Cfgi
Location
Singapore
Posted
1 month ago
Department
Finance & Accounting Advisory
What they actually want (must-haves)
  • Approximately 5–10 years of strong, current, hands-on data-engineering experience building and operating production data pipelines and platforms.
  • Experience delivering data work end-to-end to a production standard, including designing, building and operating governed data pipelines and platforms.
  • Client-facing or executive-stakeholder delivery experience, including the ability to explain data design and technical trade-offs clearly to both technical colleagues and non-technical stakeholders.
Nice to have
  • Healthcare and life-sciences data experience involving clinical, claims or real-world-evidence data.
  • Experience with the interoperability standards and clinical ontologies that structure healthcare data.
  • Familiarity with Fast Healthcare Interoperability Resources (FHIR), itself a Health Level Seven standard, and legacy Health Level Seven version 2 messaging.
  • Familiarity with healthcare terminologies and ontologies such as Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), the International Classification of Diseases (ICD-10 and ICD-11), Logical Observation Identifiers Names and Codes (LOINC), RxNorm for medicines, and the Medical Dictionary for Regulatory Activities (MedDRA) for pharmacovigilance.
  • Experience with the Observational Medical Outcomes Partnership (OMOP) Common Data Model for harmonising real-world evidence across sources.
What the job really is

The Data Engineer role at CFGI in Singapore involves building and operating the data foundation essential for client artificial intelligence solutions. This includes designing and managing data ingestion pipelines, ensuring data quality and governance, and collaborating with AI engineers and data scientists to prepare data for analytics. The position requires hands-on experience in data engineering and offers opportunities to influence the team's data architecture and standards as it grows.

Things to weigh
  • Role involves significant ownership of data architecture and standards in a new team, which may be appealing for those seeking influence but could be challenging without established processes.
  • The position is hybrid with occasional travel, which may not suit everyone.
  • No specific salary range or benefits mentioned in the posting.
  • Work-authorisation sponsorship may be supported but is subject to approval, which could impact candidates needing sponsorship.
Job score2.8/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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