Data Engineer (Mid-level)WPP Media · Johannesburg, South Africa

Data Engineer (Mid-level)

🗓️ Posted 2026-09-09 Johannesburg, South Africa Hybrid ICT
💰 Salary Not shared 📊 Market ₹60,000–₹90,000/mo

About the Company

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 . Job Title: Data Engineer (Mid-Level) Company: WPP Media South Africa Location: Johannesburg, South Africa Reports To: Senior Data Specialist Cloud Platform Engineering Implement automated data validation and quality assurance processes. Develop and maintain metadata, documentation, and data lineage. Support data governance frameworks and taxonomy standards. Ensure compliance with data privacy, security, and governance policies. Establish monitoring for data freshness, completeness, and accuracy. Build curated datasets that enable self-service reporting and analytics. Partner with Analytics Engineers, BI Developers and Data Analysts to deliver trusted datasets. Support dashboard development by providing clean, scalable, and well-modelled data. Develop reusable business logic and transformation layers. Assist with complex data investigations and root cause analysis. Maintain source control using Git. Participate in code reviews and technical design discussions. Develop technical documentation for pipelines, architecture, and integrations. Contribute to CI/CD deployment processes. Continuously improve engineering standards and platform reliability. Research and evaluate emerging cloud and data engineering technologies. Work closely with Media, Analytics, Strategy and Technology teams. Collaborate with platform vendors an

Requirements

  • ● 3-5 years' experience in Data Engineering or Analytics Engineering.
  • ● Experience developing cloud-based data platforms.
  • ● Experience building scalable data pipelines.
  • ● Experience integrating APIs and third-party platforms.
  • ● Experience working with modern data warehouses.
  • ● Experience supporting business intelligence and analytics platforms.
  • ● Experience within media, marketing technology or digital analytics is advantageous.
  • ● SQL (Advanced)
  • ● Python
  • ● REST APIs
  • ● JSON
  • ● ETL / ELT
  • ● Data Modelling
  • ● Data Warehousing
  • ● Incremental Processing
  • ● Pipeline Orchestration
  • ● Data Quality Frameworks
  • ● Identity Resolution concepts
  • ● Google Cloud Platform
  • ● BigQuery
  • ● Cloud Storage
  • ● Cloud Functions
  • ● Cloud Run
  • ● Pub/Sub
  • ● Cloud Composer (Airflow)
  • ● Snowflake
  • ● Azure
  • ● Terraform
  • ● Docker
  • ● Looker
  • ● Looker Studio
  • ● Power BI
  • ● Tableau
  • ● Google Analytics 4
  • ● Adobe Analytics (advantageous)
  • ● Google Ads
  • ● Campaign Manager 360
  • ● DV360
  • ● Meta Ads
  • ● TikTok