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Job Details

Location
Singapore
Salary
Competitive Salary
Job Type
Permanent
Ref
BH-24138
Contact
Stephanie Tan
Posted
3 days ago
Industry: Industrial Automation & Technology
 
A leading organization in the industrial automation sector is seeking a skilled Data Engineer to support enterprise AI and data initiatives. This role focuses on developing scalable data infrastructure, migrating legacy systems, and enabling advanced analytics and machine learning use cases.
 
Key Responsibilities:
  • Design and implement ETL/ELT pipelines to support AI/ML models and business intelligence
  • Lead the migration of legacy data platforms to a modern Snowflake-based architecture
  • Ensure secure, high-performance infrastructure aligned with data governance policies
  • Collaborate with cross-functional teams including data scientists and business stakeholders
  • Support real-time data processing and integration of unstructured data sources
  • Contribute to AI model deployment by preparing datasets and ensuring seamless system integration

Technical Environment
  • Platforms: Snowflake, AWS (Glue, S3, RDS, Fargate), Azure
  • Tools: dbt, MLflow, LangChain, Docker
  • Languages: SQL, Python, Java
  • AI/ML: TensorFlow, PyTorch, LLM pipelines, vector databases

Qualifications:
  • More than 4 years of hands-on experience in data engineering
  • Experienced in Snowflake (SnowPro certification preferred)
  • Strong knowledge of cloud-based data architecture and data warehouse migration
  • Experience with ETL/ELT frameworks and MLOps tools
  • Familiarity with data security, governance, and performance optimization
  • Ability to collaborate effectively with technical and non-technical stakeholders
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field


Reg. No. R1874494
BeathChapman Pte Ltd
Licence no. 16S8112