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)  

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