Senior Data Engineer

Monks; Kampung Malaysia Tambahan; On-site; MYR 120,000 - 180,000; Full time

Job summary

Monks is hiring a Senior Data Engineer (Marketing & BI) to drive data and analytics delivery for marketing, audience, and e-commerce engagements. You will split time between client delivery (about 70%) and internal capability building (about 30%).

Focus areas include SQL-based data modeling, BI dashboards, and modern data stack implementations across cloud platforms. You will lead workshops, manage stakeholders, and develop reusable assets while shaping data pathways and insights for enterprise

Qualifications

• 4+ years in data/analytics engineering roles.
• 2+ years in client-facing delivery or consultancy.
• Expert SQL skills; BigQuery-first approach; Python is a plus.

Responsibilities

• Lead requirements discovery and translate business questions into data solutions.
• Design scalable data models (dimensional/star schemas) and BI dashboards.
• Model data across cloud warehouses (BigQuery, Snowflake, Databricks, Redshift).
• Build BI dashboards using Looker Studio, Power BI, Tableau.
• Establish data quality, governance, and documentation; partner with analytics teams.

Skills

SQL

BigQuery

Snowflake

Databricks

Redshift

Looker Studio

Power BI

Tableau

ETL/ELT

Stakeholder talk

Tools

dbt

Airflow

Dagster

Prefect

LookML

Job 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. The ideal candidate has a history of working with modern data products (e.g. BigQuery, Snowflake, Databricks, Redshift), and a proven track record of experience with the modern data stack based on cloud technologies, including data transformation, orchestration, warehousing and modelling, as well as BI and dashboard design using tools like Looker Studio, Power BI or Tableau. 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.
• 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 Bring

• 4+ years in data engineering / analytics engineering / BI engineering.
• 2+ years in client-facing delivery, consultancy or agency preferred.
• Expert SQL skills, primarily in an ETL/ELT context; we are BigQuery first, but some Python is also favoured.
• Strong dimensional modelling (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.
• You are self-driven, proactive, resourceful, intellectually curious, and detail-oriented.
• Strong written and verbal communication skills.

Nice to Have

• Hands-on experience with mainstream analytics platforms and data collection approaches, including Google Marketing Platform tooling (GTM, GA4, etc).
• Experience with transformation and orchestration tools including dbt, Airflow, Dagster or Prefect.
• Familiarity with broader 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 the field of Data Engineering or Analytics.

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery - taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect. This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave: Global Marketing Services and a leader in the 2026 Gartner Magic Quadrant for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger's Programmatic Power Players list every year (2020-24). Named Adweek's first AI Agency of the Year (2023) and The One Show's inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group's 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents-and resonates with the world around us.