Social Health Insurance Fund

Senior Data Engineer (AI)

In short

Senior Data Engineer role building the data layer for a unified AI platform at a national Social Health Insurance Fund in Astana, covering DWH integrations, ETL/ELT pipelines, data marts, and RAG-ready document indexing. Requires 4+ years of data engineering experience with strong SQL, Python, Airflow/Dagster/Prefect, and relational DBMS skills, plus understanding of MLOps/LLMOps, data quality, lineage, and access management. On-site position in Astana, Kazakhstan.

Senior Data Engineer
NJSC "Social Health Insurance Fund"
1,500,000 to 2,000,000 KZT Gross per month
Astana, on-site
Responsibilities:
•Build the data layer for the Fund's unified AI platform.
•Integrate DWH, internal systems, documents, and other sources.
•Develop ETL/ELT pipelines, data marts, and data quality controls.
•Prepare training datasets, ML features, and production data delivery pipelines with MLOps/LLMOps.
•Prepare and index regulatory and internal documents for RAG.
•Organize data access, storage, and auditing.
Requirements:
•4+ years as a Data Engineer.
•Proficient in SQL and Python.
•Experience designing DWH, data marts, and integrations.
•Experience building ETL/ELT pipelines with Airflow, Dagster, Prefect, or similar.
•Knowledge of PostgreSQL, ClickHouse, MS SQL, Oracle, or similar DBMS.
•Experience with APIs, message queues, file storage, and unstructured documents for search/RAG.
•Understanding of data quality, lineage, metadata, and access management.

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