Data Engineer - AI-Driven Investment Data Pipelines

Sofina; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Sofina, a global investment company, is seeking a Data Engineer to join the IT team. You will design data stacks, build AI-enabled workflows and create applications to support sourcing, evaluation and management of investments. This hands-on role spans data engineering, back-end and practical front-end work.

You will collaborate across teams and mentor others while delivering reliable data products. Strong Python, SQL, dbt and Dagster skills, plus experience with Snowflake or Fabric, are

Qualifications

• Several years of relevant working experience in data engineering and/or software engineering.
• Hands-on experience building data-intensive applications with ELT pipelines and both structured and unstructured data.
• Proficient in Python, SQL, dbt and Dagster; experience with modern data warehouses like Snowflake or Fabric.

Responsibilities

• Mentor and guide team members through collaboration, code reviews and documentation.
• Design, build and maintain end-to-end data pipelines for real-time and batch ingestion of venture, PE, and fund data.
• Transform raw enterprise content into structured representations for search, retrieval and LLM analysis.
• Partner with teams to expose enterprise knowledge to LLMs/agents/web apps for efficient workflows.
• Prototype data and AI products, gather feedback and turn prototypes into production tools.
• Own end-to-end quality, accuracy, freshness and performance of data products.

Skills

Python

SQL

dbt

Dagster

Snowflake

Fabric

Education

Bachelor's in CS/Engineering

Job description

Sofina, a global investment company, is seeking a Data Engineer to join the IT team. You will design data stacks, build AI-enabled workflows and create applications to support sourcing, evaluation and management of investments. This hands-on role spans data engineering, back-end and practical front-end work.

You will collaborate across teams and mentor others while delivering reliable data products. Strong Python, SQL, dbt and Dagster skills, plus experience with Snowflake or Fabric, are