AI Data Governance/ Engineer/ Scientist

• Position : AI DATA ENGINEER / SCIENTIST/ GOVERNANCE
• Quantity : 02 ( 1 Senior - 1 Middle)
• Type : Full-time
• Location : 5nd Floor, TTC Building, No.19 Duy Tan St., Dich Vong Hau Ward, Cau Giay Dist,. Hanoi Capital, Vietnam
• Working Location: Hanoi/HCMC/Danang

ABOUT US

 Astek is a global player in engineering and technology consulting, founded in France in

1988. Today, we are +7500 engineers across over 30 countries in the world.

 With expertise in many industrial and tertiary sectors, we support our international

clients in the intelligent deployment of their products and services, and in the

implementation of their digital transformation.

 Astek Vietnam is established in 2022 to increase group’s capability to support our

clients’ operation around the globe, leveraging Vietnam talented engineers.

 More information about our group: https://astekgroup.fr/

JOB DESCRIPTION & REQUIREMENTS

Key responsibilities:

• Think of it this way: the AI Engineer builds the system that searches the library. You build the library.

• What You'll Do

• Design and maintain data catalogues for AI projects using platforms such as DataHub, OpenMetadata, Apache Atlas, Collibra, or cloud-native equivalents (AWS Glue Data Catalog, Azure Purview, GCP Dataplex).

• Define metadata schemas and taxonomy standards — type, version, jurisdiction, validity period, confidence tier — so retrieval systems know not just what a document is, but when it applies and how much to trust it.

• Assess data quality across client and internal assets using tools like Great Expectations, dbt tests, or Soda; flag stale, superseded, or ambiguous records before they reach the AI layer.

• Build and maintain data lineage so every AI-generated output can be traced back to its source, version, and validity period — making outputs auditable, not just accurate.

• Design automated ingestion workflows and nightly quality checks that keep catalogues current without constant manual intervention.

• Partner with engineering teams to connect RAG pipelines and agentic retrieval systems to catalogue APIs, and with strategy teams to map client data estates before a project begins.

• Qualifications

• A background in data governance, information management, knowledge management, or records management — with genuine interest in how that work enables AI delivery.

• Hands-on experience with at least one data catalogue platform (DataHub, OpenMetadata, Collibra, Alation, Apache Atlas, or a major cloud equivalent) and familiarity with metadata standards such as JSON-LD, Dublin Core, or domain-specific ontologies.

• Strong SQL skills; working Python for data profiling, quality scripting, and metadata automation; and comfort with dbt or OpenLineage for lineage tracking.

• Understanding of vector databases and RAG architecture — enough to know how metadata quality directly affects retrieval precision.

• Experience in regulated or high-stakes data environments where provenance and auditability genuinely matter: financial services, insurance, government, healthcare, or similar.

• A collaborative, low-ego disposition. The Data Librarian’s work is structural and often invisible. The glory goes to the AI system. You are fine with that.

• Bonus: A formal background in library or information science. Experience with knowledge graphs (Neo4j, RDF, SPARQL). Prior consulting or agency delivery experience.

• Company Values / Culture: Collaboration, adaptability, curiosity, low-ego teamwork, clear communication and continuous learning.

Relevant Work Experience:

 Fluency in English communication is A MUST

 Bachelor’s degree and above in Data Engineer, Data governance, Data Scientist, and other related fields

 Be opened minded, have the ability to learn fast and willing to do attitude

 Having experience in Business Intelligence is an advantage

BENEFITS

● Attractive salary: Nego. Performance based award.

● Young and dynamic working environment.

● Continuous development of hard and soft skills through work and professional training.

● Opportunity to approach newest technology trends.

● Salary reviews 1 times/year or on excellent performance

● Company’s labor policy completely pursuant to Vietnamese labor legislation

plus other benefits offered by the company (Company trip, Holiday, etc.)

CONTACT

ASTEK VIETNAM

• Contact Person : Ms. Dzung Nguyen
• Phone Number : 0969988029
• Email : [email protected]
• Website : https://astekgroup.fr/?lang=en