Monks is seeking an experienced client-facing 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 2+ 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).
• Hands-on experience with mainstream analytics platforms and data collection approaches, including Google Marketing Platform tooling (GTM, GA4, etc) preferred
• 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.

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.

#LI-CX1

Role Summary

KINESSO is currently seeking a highly motivated, detail-oriented Senior Data Engineer to fill an immediate need. This individual will work with the technical team and internal clients to understand and analyze requirements to build and support data initiatives. The candidate will have experience designing and developing highly scalable data solutions with a strong understanding of the Data Engineering operating environments. This role requires an individual who has a passion for technology and media and is looking to apply this to further their experience in real-world business scenarios.

Key Responsibilities

• Guide and drive discussions, support decision-making in processes and solutions, and mentor in discussions.
• Oversee and deliver complex core practice tasks and guide others effectively.
• Develop and advocate for new best practices and optimize existing processes.
• Take ownership of documentation for assigned areas, ensuring completeness, consistency, and clarity.
• Champion compliance and standards, drive adherence, and resolve issues.
• Drive and support team collaboration by coordinating efforts and fostering strong team dynamics.
• Work closely with technical leads to ensure alignment on goals and technical solutions.
• Mentor and develop mid-level and junior engineers, providing technical guidance.

Requirements

• Bachelor’s degree in computer science
• 5-7 years of progressive software engineering experience
• 5+ years of experience with Python, JavaScript and SQL
• 5+ years of experience with AWS cloud ecosystem
• 5+ years of experience with any MPP database technology
• 3+ years of experience with big data processing frameworks
• Experience with agile methodologies is highly desirable
• Experience in the modern data stack is highly desirable:
  • Warehouse/Lakehouse: Snowflake, Databricks, AWS Redshift
  • Orchestration/Pipelines: Airflow, Dagster, Kestra
  • Transformation/Modelling: DBT, Star Schema, Data Vault
  • Observability/Analytics: DataDog, Tableau, AWS QuickSight
  • CI/CD: Jenkins, GitHub, Terraform, Docker, Kubernetes
• Exposure to AI/ML concepts
• Proficient in managing time, prioritizing tasks, and meeting deadlines
• Drive team collaboration, align team goals, and maintain a positive team dynamic
• Excel in hybrid working environments, fostering team collaboration across diverse settings
• Strong communicator, adept at influencing decisions, and mentoring
• Experienced in data privacy, security, and compliance standards
• Able to stay ahead of the curve with new and emerging technologies
• Experience in ad tech is a strong plus

Personal Attributes

• Proficient in English as a first language – both verbal & written
• Excellent communication skills with the ability to effectively interact with non-technical users.
• The ability to consistently deliver solid, successful solutions in short development cycles.
• A strong spirit of innovation, self-starter, independent, and with the ability to come up with solutions to meet business problems.
• Result driven, high enthusiasm and can work well with others.
• Strong desire to learn new things and pass knowledge acquired onto others.
• Able to manage own hours and work with a remote team environment.

About Us 

Kinesso, the Marketing Engine of IPG, is focused on creating data-driven solutions through enhanced or newly created products and services, maximizing the impact of traditional and addressable media. Kinesso’s core principle is to drive smarter business decisions and better outcomes for clients using our suite of data and technology services. 

Powered by Acxiom, IPG’s foundational data and technology layer, the company will provide comprehensive data-driven marketing capabilities to clients, as well as act as a trusted data management partner to brands. 

Designed for flexibility and speed, Kinesso’ offerings are structured to improve media and marketing performance with an emphasis on accuracy, agility and effectiveness. Our open architecture approach is powered with the right combination of creative and data, activated with flexibility and measured with precision. 

Analytics Intern (Bachelors) — Analytics Delivery Team (Malaysia Data Hub)  

Company: WPP Media  

 
Team: Analytics Delivery Team — Malaysia Data Hub  

 
Location: Malaysia (Hybrid/Onsite as per business need)  

 
Internship Type: Internship (Full-time preferred)  

 
Duration: Minimum 5–6 months  

About the Role  

WPP Media’s Analytics Delivery Team (Malaysia Data Hub) is looking for a Masters-level Analytics Intern to support reporting, dashboarding, and insight generation for business and media stakeholders. This is a hands-on role where you will build and improve Power BI dashboards, write SQL queries for data extraction/validation, and automate workflows using Python.  

Key Responsibilities  

• Build and enhance Power BI dashboards (DAX measures, data modeling, visuals, drill-throughs, performance optimization)  

• Write and optimize SQL queries to extract, validate, and transform data from multiple sources  

• Support analytics delivery by converting business needs into clear KPIs, reporting views, and insights  

• Use Python to automate data preparation, reporting workflows, and analysis tasks  

• Assist with data quality checks, reconciliation, and anomaly detection  

• Maintain documentation for dashboards, KPI logic, data definitions, and solution workflows  

• Collaborate with analysts, data engineers, and stakeholders in an agile delivery environment  

Required Skills (Must-have)  

• Strong Power BI experience (Power Query, DAX, data modeling, best-practice visual design)  

• Strong SQL skills (joins, aggregations, window functions, troubleshooting data issues)  

• Strong Python skills for data analysis/automation (Pandas, NumPy, scripting)  

• Good understanding of analytics concepts: KPIs, trends, segmentation, reporting logic  

• Strong attention to detail and ability to explain insights clearly to stakeholders  

Good to Have (Nice-to-have / Optional)  

• Experience with Google Cloud Platform (GCP)  

• Exposure to BigQuery (querying large datasets, optimization)  

• Familiarity with data pipelines / ELT tools (e.g., dbt, Airflow, etc.)  

• Exposure to AI/ML concepts (forecasting, classification, LLM-based analytics workflows)  

• Knowledge of digital/media metrics is a plus (campaign performance, audience analytics)  

Qualifications  

• Currently pursuing a Bachelors in Analytics / Data Science / Statistics / Computer Science / Engineering / Business Analytics (or similar)  

• Strong analytical mindset with problem-solving ability  

• Ability to manage tasks independently, meet deadlines, and work collaboratively  

What You’ll Gain  

• Real-world experience delivering analytics solutions in a global media organization  

• Mentorship from experienced analytics professionals  

• Opportunity to contribute to production dashboards and measurable business outcomes  

• Exposure to modern cloud analytics stack (depending on project requirements)  

#L1-Promoted