Senior Data Engineer — Scalable AI & Analytics Pipelines

Faculty Digital PTE LTD; Kuala Lumpur; On-site; MYR 180,000 - 280,000; Full time

Job summary

Faculty Digital PTE LTD in Malaysia, Kuala Lumpur, is seeking a Senior Data Engineer with at least 6 years of experience to design, build, and maintain data pipelines and platforms powering analytics and AI initiatives.

You will work with SQL, Python, and cloud data warehouses (BigQuery, Snowflake, or Redshift), mentor juniors, and ensure data governance while collaborating with cross-functional teams.

Qualifications

• Minimum of 6 years of professional data engineering experience.
• Strong proficiency in SQL with at least 4 years hands-on.
• 3 years of Python for data processing and automation.
• Hands-on with cloud data warehouses (BigQuery, Snowflake or Redshift).
• Experience with Airflow and dbt.
• Excellent communication in English; Chinese/Cantonese helpful.
• Familiarity with Agile/Scrum methodologies.

Responsibilities

• Design, build, and maintain batch and streaming data pipelines across enterprise sources.
• Model and transform data for analytics, including warehouse schemas and quality tests.
• Configure customer data platforms, covering ingestion, identity resolution, and activation.
• Build data foundations behind client AI and personalization use cases.
• Set up monitoring, alerts, and data lineage to catch failures early.
• Collaborate with cross-functional teams to translate business questions into data requirements.
• Lead and mentor junior data engineers in the team.
• Ensure data handling meets client governance, security, and privacy requirements.

Skills

SQL

Python

Data pipelines

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Airflow

dbt

BigQuery

Snowflake

Redshift

Job description

Faculty Digital PTE LTD in Malaysia, Kuala Lumpur, is seeking a Senior Data Engineer with at least 6 years of experience to design, build, and maintain data pipelines and platforms powering analytics and AI initiatives.

You will work with SQL, Python, and cloud data warehouses (BigQuery, Snowflake, or Redshift), mentor juniors, and ensure data governance while collaborating with cross-functional teams.