Senior Data Engineer

What We Are Looking For

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 modelling 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.

Why Monks?

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.

Key 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 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.
  
  

Required Skills - Must Haves

• A minimum of 3+ years experience in data engineering / analytics engineering / BI engineering.
• At least 1 year experience in client-facing delivery, consultancy or agency 
• Expert SQL skills, primarily in an ETL/ELT context; we are BigQuery first, but some Python is also favoured.
• 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.
• You are self-driven, proactive, resourceful, intellectually curious, and detail-oriented.
• Strong written and verbal communication skills. 

Nice to Haves

• 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, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

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.

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