Job Opportunities API

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website ( monks.com/careers ). 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 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. Requirements A minimum of 6+ years experience in data engineering / analytics engineering / BI engineering. At least 3 year experience in client-facing delivery, consultancy or agency.  Experience with BigQuery and at least one other cloud data platform (Snowflake, Databricks, Redshift, etc) required. 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 building BI dashboards (Looker Studio, Power BI, Tableau). Hands-on experience with mainstream analytics platforms and data collection approaches, including Google Marketing Platform tooling (GTM, GA4, etc) preferred. Experience with transformation and orchest