Senior Data Engineer - Freelance

Overview

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 small and large enterprise clients. This is a hands-on freelance role blending business and data responsibilities.

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 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.
• 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.

What you'll need

• 4+ years in data engineering / analytics engineering / BI engineering.
• Expert SQL skills, primarily in an ETL/ELT context.
• Strong dimensional modeling (star schemas), warehouse design, and metric/KPI definition for analytics use cases.
• Experience with BigQuery and at least one other cloud data platform (Snowflake, Databricks, Redshift, etc).
• 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, and detail-oriented.
• Strong written and verbal communication skills.

Nice to have

• 2+ years in client-facing delivery, consultancy or agency.
• Some Python is also favoured.
• Hands-on experience with Google Marketing Platform tooling (GTM, GA4, etc).
• Experience with transformation and orchestration tools including dbt, Airflow, Dagster or Prefect.
• Familiarity with enterprise BI platforms such as Looker (LookML/custom visualisations) or Datorama.
• An understanding of the adtech/martech/data landscape; CRM & CDP familiarity is a strong plus.
• Experience executing technical projects and/or managing enterprise clients end-to-end from inception to delivery.
• Current professional certifications in Data Engineering or Analytics.

Details

• Time split approximately 70% client delivery and 30% internal capability building.
• Freelance engagement.