Senior Data Engineer
Client-facing Senior Data Engineer at Monks in Kuala Lumpur, spending ~70% of time on marketing & BI data delivery for enterprise clients: SQL-based data modeling in cloud warehouses (BigQuery-first), BI dashboards (Looker Studio, Power BI, Tableau), plus client workshops and stakeholder management; remaining ~30% on internal capability building.
- Compensation
- Not disclosed
- Location
- Kuala Lumpur
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 4+ years in data engineering / analytics engineering / BI engineering
- Expert SQL skills, primarily in an ETL/ELT context; BigQuery first
- Strong dimensional modeling (star schemas), warehouse design, and metric/KPI definition
- Experience with BigQuery and at least one other cloud data platform (Snowflake, Databricks, Redshift)
- Experience building BI dashboards (Looker Studio, Power BI, Tableau)
- Comfortable collaborating and presenting cross-functionally to stakeholders; writing clear documentation
- Self-driven, proactive, resourceful, intellectually curious, detail-oriented
- Strong written and verbal communication skills
Nice to have
- 2+ years in client-facing delivery, consultancy or agency
- Some Python
- Hands-on experience with analytics platforms and data collection, incl. Google Marketing Platform tooling (GTM, GA4)
- Experience with transformation/orchestration tools: dbt, Airflow, Dagster or Prefect
- Familiarity with enterprise BI platforms such as Looker (LookML/custom visualisations) or Datorama
- Understanding of the adtech/martech/data landscape; CRM & CDP familiarity
- Experience executing technical projects and/or managing enterprise clients end-to-end
- Current professional certifications in Data Engineering or Analytics
Full description
About Monks
Monks is a global, digital-first marketing, technology, and creative consultancy operating at the intersection of creativity, media, data, and culture. In APAC, our 700-strong team spans 14 offices across 11 countries, connected by a single, unified operating model.
As pioneers in the AI digital media economy, we live an AI-first culture internally while helping enterprise clients shift from manual workflows to AI-native orchestration — scaling custom agent solutions (Monks.Flow), AI-driven campaigns, and next-gen AI search capabilities. By connecting brand strategy, media, data, and emerging technology around the consumer, we build intelligent platforms and content ecosystems for the world's leading brands. We foster a diverse, equitable, and inclusive workplace where authentic collaboration fuels industry-changing work.
The Role
Monks is seeking an experienced client-facing Senior Data Engineer (Marketing & BI) to drive data and analytics delivery across marketing, audience, and e-commerce engagements for both small and large enterprise clients.
This is a hands-on role that blends business and data responsibilities. Your time will be split approximately 70% on client delivery and 30% internal (capability building, reusable assets, innovation, growth, etc). You’ll be focused on SQL-based data modeling and analytics delivery, and you’ll run client workshops and stakeholder management, while also building out solutions in the broader BI space, executing technical implementations across a range of analytics and cloud data platforms.
In this role, you’ll help clients shape data pathways, translate data into insights and needs-based recommendations, deploy and configure the right tools, and improve data reliability, speed to insight, and KPI consistency. Working in the broader Data capability at Monks, this position offers opportunities for growth within our wider APAC data team with clear channels of progression into more senior roles, the ability to participate in innovation on projects and product development, and the potential to advance the practice of analytics and data from the forefront.
What You'll Do
- 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.
- Design and model data across various cloud data warehouses (BigQuery/Snowflake/Databricks/Redshift) from marketing, web/app, and e-commerce sources; exact platform varies by client.
- Articulate, design and develop BI dashboards and custom reporting experiences using tools such as Looker Studio, Power BI and Tableau.
- Establish data quality, monitoring, documentation, and governance practices.