Associate, Data Engineering

Posted One Month Ago
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Hiring Remotely in Hong Kong
Remote
Junior
AdTech • Marketing Tech
The Role
Support design, build, and monitor data pipelines and ETL/ELT workflows; optimize SQL queries and data transformations; integrate and validate data from multiple sources; troubleshoot data quality issues; document data flows and collaborate with technical and business stakeholders to deliver small-to-medium data engineering tasks.
Summary Generated by Built In

About WPP Media

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. 

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit wppmedia.com.


Role Summary and Impact

WPP Media Hong Kong is seeking a motivated, analytical, and curious Associate, Data Engineering to join our team. In this role, you will support the team in building, maintaining, and optimizing the critical data pipelines, architectures, and data models that power WPP's analytics and business decision-making. This is an exceptional early-career opportunity to gain hands-on experience with modern data platforms and engineering best practices within the fast-paced media and advertising landscape while working on real-world business challenges.

Core Responsibilities:

Pipeline Development & Maintenance: Support the design, development, and monitoring of robust data pipelines and ETL/ELT workflows to consolidate data from diverse media platforms.

Database & Transformation Optimization: Develop, optimize, and maintain high-performing SQL queries, database views, and automated data transformations.

Data Integration: Assist in integrating data from multiple primary sources into our central enterprise data platforms.

Data Quality & Governance: Actively validate data integrity, troubleshoot data failures, and investigate data quality issues to maintain high trust in our analytical tools.

Process Documentation: Clearly document data flows, technical processes, and business logic rules.

Stakeholder Collaboration: Collaborate effectively with both technical (analysts, developers, architects) and business stakeholders to translate requirements into reliable technical data solutions.

Task Ownership: Take proactive ownership of small-to-medium data engineering tasks and technical projects, managing them from planning to successful delivery.


Skills and Experience

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:

  • Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
  • Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
  • Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Required Skills & Experience:

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Statistics, or a closely related quantitative/technical discipline.
  • 1 to 2 years of relevant experience in data engineering, with strong, hands-on SQL proficiency and a deep conceptual understanding of relational databases. Fresh graduates with internships, university capstone projects, or personal projects involving data engineering or data analytics are also welcome.
  • Solid foundational knowledge of data warehousing, ETL/ELT concepts, data modeling fundamental, and data quality practices.
  • Outstanding analytical and problem-solving skills, with a strong attention to detail.
  • Good communication skills and a highly collaborative approach to working within cross-functional teams.
  • An eagerness to learn and rapidly adopt modern data engineering practices, cloud tools, and frameworks.
  • Fluency in spoken and written English, Cantonese, and Mandarin

Desired Skills & Experience:

  • Basic scripting and development skills in Python or a similar programming language.
  • Familiarity with Git or standard version control systems.
  • Basic exposure to cloud ecosystems such as Google Cloud Platform (GCP), Azure, or AWS.
  • Familiarity with modern data stack architectures or tools (e.g., dbt, BigQuery, Snowflake, Databricks).
  • Conceptual or practical experience with BI tools (such as Power BI or Tableau).

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. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

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. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require flexibility, please discuss this with the hiring team during the interview process.

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Skills Required

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Statistics, or related quantitative/technical discipline
  • 1 to 2 years of relevant data engineering experience (or internships, university capstone projects, or personal projects for fresh graduates)
  • Strong hands-on SQL proficiency and deep conceptual understanding of relational databases
  • Solid foundational knowledge of data warehousing, ETL/ELT concepts, data modeling fundamentals, and data quality practices
  • Outstanding analytical and problem-solving skills with strong attention to detail
  • Good communication skills and highly collaborative approach to cross-functional teams
  • Eagerness to learn and adopt modern data engineering practices, cloud tools, and frameworks
  • Fluency in spoken and written English, Cantonese, and Mandarin
  • Basic scripting and development skills in Python or a similar language
  • Familiarity with Git or standard version control systems
  • Basic exposure to cloud ecosystems such as GCP, Azure, or AWS
  • Familiarity with modern data stack tools (e.g., dbt, BigQuery, Snowflake, Databricks)
  • Conceptual or practical experience with BI tools (Power BI or Tableau)

WPP Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WPP and has not been reviewed or approved by WPP.

  • Wellbeing & Lifestyle Benefits — Wellbeing support includes a global Employee Assistance Programme and company-wide initiatives, with modern multi‑agency campuses and on‑site amenities positioned as part of the experience. This indicates a holistic focus across mental, physical, emotional, and financial wellbeing.
  • Retirement Support — Retirement offerings commonly include a US 401(k) with employer matching, though specifics can differ by operating company. This provides a recognizable savings framework that many candidates expect in large employers.
  • Parental & Family Support — Family benefits can be above average in parts of the network, such as VML’s paid parental leave for adoptive and foster parents. These signals suggest meaningful support for certain family‑forming needs.

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The Company
HQ: London
90,589 Employees

What We Do

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

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