Data Engineer

Data Engineer (Marketing & BI) – Client-facing role focused on driving data and analytics delivery across marketing, audience, and e-commerce engagements for both small and large enterprise clients. This hands‑on role dedicates approximately 70% of the time to client delivery and 30% to internal capability building, reusable asset development, innovation, and growth initiatives.

In this role, you will 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 within Monks’ broader Data capability, you will have opportunities for growth with clear progression into more senior roles and the potential to advance analytics and data practices.

• 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 (Big Query, Snowflake, Databricks, Redshift) from marketing, web/app, and e‑commerce sources; the platform varies by client.
• Articulate, design, and develop BI dashboards and custom reporting experiences using Looker Studio, Power
  
  BI, and Tableau.
• Establish data quality, monitoring, documentation, and governance practices.
• Partner with analytics/measurement teams on tracking approaches (GA4, GTM) to ensure usable downstream data.
• Present insights and recommendations to senior stakeholders; influence roadmaps, estimation, and prioritisation.
• Contribute reusable assets (templates, data patterns, dashboard standards) to the wider Monks APAC data capability.

• At least 2years’ experience in data engineering / analytics engineering / BI engineering.
• Minimum 1year of client‑facing delivery, consultancy, or agency experience.
• Expert SQL skills in ETL/ELT contexts; big emphasis on Big Query, with Python knowledge preferred.
• Strong dimensional‑modeling (star schemas), warehouse design, and metric/KPI definition for analytics use cases.
• Hands‑on experience with Big Query and at least one other cloud data platform (Snowflake, Databricks, Redshift).
• Experience building BI dashboards with Looker Studio, Power
  
  BI, or Tableau.
• Hands‑on experience with analytics platforms and data collection approaches, including GA4, GTM.
• Experience with transformation and orchestration tools such as dbt, Airflow, Dagster, or Prefect.
• Familiarity with enterprise BI platforms such as Looker (LookML) or Datorama.
• Understanding of the ad‑tech/martech/data landscape; CRM & CDP familiarity is a strong plus.

We are an equal‑opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves among colleagues who embrace diversity in all respects.