Senior Data Engineer - Client-Facing BI & Analytics

Monks; Kuala Lumpur; On-site; MYR 180,000 - 280,000; Full time

Job summary

Monks is seeking an experienced Senior Data Engineer (Marketing & BI) to lead data delivery across marketing, audience, and e-commerce for enterprise clients. The role blends client-facing delivery (70%) with internal capability building (30%), focusing on data modeling, analytics, and cloud data platform implementations.

You will work with BigQuery, Snowflake, Databricks, and Redshift, building dashboards with Looker Studio, Power BI or Tableau, and driving data quality and governance while

Qualifications

• 2+ years in client-facing delivery, consultancy or agency preferred.
• Expert SQL skills, primarily in an ETL/ELT context; BigQuery first, Python favoured.
• Strong dimensional modeling (star schemas) and warehouse design.
• Experience with BigQuery and at least one other cloud data platform (Snowflake, Databricks, Redshift).
• Clear documentation and cross-functional collaboration with stakeholders.

Responsibilities

• Lead requirements discovery and translate business questions into data/measurement solutions.
• Design data models (dimensional/star schemas) to support scalable reporting and self-serve analytics.
• Model data across cloud data warehouses (BigQuery/Snowflake/Databricks/Redshift) for marketing, web/app, and e-commerce sources.
• Articulate, design and develop BI dashboards using Looker Studio, Power BI or Tableau.
• Establish data quality, monitoring, documentation, and governance practices.
• Partner with analytics/measurement teams on tracking approaches (GA4/GTM).
• Present insights to senior stakeholders and influence roadmaps and prioritisation.
• Contribute reusable assets to the wider Monks APAC data capability.

Skills

SQL

ETL/ELT

Python

Dimensional modeling

BI dashboarding

Stakeholder management

Data warehousing

Tools

BigQuery

Snowflake

Databricks

Redshift

Job description

Monks is seeking an experienced Senior Data Engineer (Marketing & BI) to lead data delivery across marketing, audience, and e-commerce for enterprise clients. The role blends client-facing delivery (70%) with internal capability building (30%), focusing on data modeling, analytics, and cloud data platform implementations.

You will work with BigQuery, Snowflake, Databricks, and Redshift, building dashboards with Looker Studio, Power BI or Tableau, and driving data quality and governance while