Data Engineer

About the role

Nas.com is building an AI‑first business platform and is looking for a mid‑level Data Engineer to join its growing data team in Singapore. You will design, build and maintain scalable data pipelines and warehouse architectures that power product decisions, marketing performance and business insights.

Key responsibilities

• Design, develop and operate ETL/ELT pipelines that ingest data from multiple sources into a cloud data warehouse.
• Create and optimise data models and warehouse layers (staging, core/foundation, business) to support analytics and BI.
• Write efficient SQL transformations for large‑scale datasets.
• Collaborate with product, marketing and analytics teams to define data requirements and ensure data quality.
• Implement attribution models (e.g., last‑click, multi‑touch) within the warehouse.
• Maintain data accuracy and consistency across marketing and product analytics.

Required profile

• 3+ years of experience as a Data Engineer or in a similar data‑focused role.
• Hands‑on experience with modern cloud data warehouses such as BigQuery, Snowflake or Redshift.
• Strong SQL expertise with a focus on data transformation and modelling.
• Proven ability to build reliable ETL/ELT pipelines.
• Understanding of data modelling techniques (star schema, dimensional modelling) and warehouse architecture.
• Experience implementing attribution models in a data environment.

Required skills

• BigQuery, Snowflake, Redshift
• SQL
• ETL / ELT pipeline development
• Data modelling (star schema, dimensional modelling)
• dbt, Airflow (or similar orchestration tools)

What we offer

• Ownership culture with direct access to the CEO and leadership team.
• Opportunity to work with cutting‑edge AI technologies in a fast‑growing startup.
• Collaborative environment of intelligent, execution‑driven engineers.