Data Engineer

WPP Media; Malaysia; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading company in creative transformation is seeking a Data Engineer to join its APAC Data Solutions Delivery team. The ideal candidate will have experience in cloud-based data infrastructure and pipeline development, ensuring reliable access to data for significant decision-making. This role is an excellent opportunity to work on high-visibility projects and grow within a collaborative data engineering community.

Benefits

Career growth opportunities

Collaborative work environment

Qualifications

• 1-2 years of experience in a data engineering or related role.
• Strong command of SQL and Python for data manipulation.
• Experience in cloud services for data processing and storage.

Responsibilities

• Design and maintain ETL/ELT pipelines for data processing.
• Build and manage scalable data workflows on cloud platforms.
• Collaborate with data analysts to support analytics requirements.

Skills

SQL

Python

Data Pipeline Development

Cloud Services

Data Modeling

Education

Bachelor's degree in Computer Science

Tools

AWS

GCP

Azure

Airflow

dbt

Job description

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visitwpp.com

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visitwppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• BeExtraordinarybyLeading CollectivelytoInspire transformational Creativity.
• Create anOpenenvironment byBalancing People and Client ExperiencesbyCultivating Trust.
• LeadOptimisticallybyChampioning Growthand DevelopmenttoMobilize the Enterprise.

About Choreograph

Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

About the role

We are looking for a technically skilled and solution-orientedData Engineerwith 1 to 2 years of relevant experience in cloud-based data infrastructure, data pipeline development, and engineering best practices. This role will focus on building and optimizing scalable data systems, enabling analytics and business intelligence teams to access clean, reliable, and timely data for high-impact decision-making across the region.

As part of the APAC Data Solutions Delivery team, you’ll work on high-visibility projects for some of the world’s most recognized brands, collaborating with cross-functional teams across data, technology, and business domains. This role is based in Malaysia and aligned to our Asia Pacific Centre of Excellence.

Reporting of the Role

This role reports to an Associate Director / Director in the Choreograph APAC Data Solutions [Delivery] team.

3 Best Things About the Job

• Build cutting-edge data infrastructure and pipelines that power advanced analytics across global markets.
• Be part of a collaborative, innovative, and technically driven global data engineering community.
• Grow your career with hands-on experience across cloud platforms, modern data stacks, and emerging tools in the data engineering space.

Measures of Success

In One Month, You Will:

• Gain a deep understanding of Choreograph’s data architecture, platforms, and engineering workflows.
• Contribute to ongoing data pipeline projects and assist with data ingestion and transformation tasks.
• Establish strong working relationships with internal technical stakeholders.

In Three Months, You Will:

• Design and build robust, reusable, and scalable data pipelines using best practices.
• Ensure high-quality data delivery through monitoring, automation, and optimization.
• Collaborate with data analysts and scientists to support downstream analytics requirements.

In Six Months, You Will:

• Take ownership of end-to-end data engineering workstreams.
• Drive improvements in data pipeline reliability, performance, and documentation.
• Actively contribute to technical design discussions and architectural decisions.

Key Responsibilities

• Data Pipeline Development:Design, develop, and maintain batch and streaming ETL/ELT pipelines using SQL, Python, and modern orchestration tools (e.g., Airflow, dbt).
• Cloud Infrastructure:Build and manage scalable data workflows using cloud platforms such as AWS, GCP, or Azure.
• Data Modeling:Design efficient data schemas and storage strategies for structured and semi-structured data.
• Automation & Optimization:Automate data workflows, conduct performance tuning, and implement monitoring and alerting systems.
• Collaboration:Partner with data analysts, scientists, and business stakeholders to translate requirements into robust engineering solutions.
• Data Governance:Implement and uphold data quality, security, and lineage standards across projects.
• Documentation & Versioning:Maintain clear documentation and use version control systems like Git for reproducibility and collaboration.

Skills and Experience

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
• 1-2 years of experience in a data engineering, data platform, or backend data development role.
• Strong command of SQL and experience with building data pipelines and transformations.
• Proficiency in Python for data manipulation, scripting, and automation.
• Hands-on experience with cloud services (AWS/GCP/Azure), particularly for data processing and storage.
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Prefect) and data build tools (e.g., dbt).
• Understanding of data modeling techniques, warehousing concepts, and performance optimization.
• Comfortable working in a collaborative, cross-functional environment with both technical and non-technical stakeholders.

Nice to Have

• Experience with big data technologies like Spark, Hadoop, or Kafka.
• Exposure to infrastructure-as-code (e.g., Terraform, CloudFormation).
• Familiarity with CI/CD pipelines and DevOps principles.
• Working knowledge of security best practices in cloud-based data engineering.
• Awareness of data governance frameworks and metadata management.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy)for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted.

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