Cloud Data Engineer (Mid-Level) – Scalable Pipelines

Wppmedia; Johannesburg; On-site; ZAR 700,000 - 1,000,000; Full time

Job summary

WPP Media South Africa is seeking a mid-level Data Engineer to design and maintain scalable ELT/ETL pipelines and robust data models that power analytics and reporting.

You will build integrations via REST APIs, manage cloud-based data warehousing, and ensure data quality with automated testing and governance practices. The role collaborates with Analytics, BI, and tech teams to deliver trusted datasets.

Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Engineering, Data Science or a related quantitative discipline.
• Google Cloud Professional Data Engineer certification (preferred).
• Additional cloud or data engineering certifications are advantageous.

Responsibilities

• Design, develop and maintain scalable ELT/ETL pipelines using modern cloud technologies.
• Build and optimise data ingestion frameworks from first-party, second-party and third-party data sources.
• Develop and maintain robust data models that support analytics and reporting.
• Build and manage integrations using REST APIs, SDKs and cloud services.
• Develop reusable data transformation frameworks using dbt or equivalent tooling.
• Implement incremental processing, partitioning and performance optimisation techniques.
• Design and maintain data warehouse structures within BigQuery and other cloud environments.
• Ensure pipeline reliability through monitoring, alerting and automated testing.
• Troubleshoot production data issues and implement long-term solutions.
• Develop scalable cloud-native data solutions on Google Cloud Platform.
• Optimise BigQuery performance and manage cloud infrastructure costs.
• Build solutions using Cloud Functions, Cloud Run, Cloud Storage and Pub/Sub where appropriate.
• Implement secure access controls using IAM principles.
• Support infrastructure automation using Infrastructure-as-Code where applicable.
• Monitor platform performance and recommend improvements.
• 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.

Skills

SQL (Advanced)

Python

REST APIs

JSON

Git

Education

Bachelor's Degree in Computer Science, Information Systems, Engineering, Data Science or related

Tools

dbt

ETL/ELT

Data Modelling

Data Warehousing

Incremental Processing

Pipeline Orchestration

Data Quality Frameworks

Identity Resolution concepts

Job description

WPP Media South Africa is seeking a mid-level Data Engineer to design and maintain scalable ELT/ETL pipelines and robust data models that power analytics and reporting.

You will build integrations via REST APIs, manage cloud-based data warehousing, and ensure data quality with automated testing and governance practices. The role collaborates with Analytics, BI, and tech teams to deliver trusted datasets.