Job Description
Cape Town – Western Cape – South Africa
- Design, build, and optimize data pipelines and ETL processes to integrate diverse data sources (ad servers, DSPs, retail media, CRM, CDPs, web analytics, social, financial, product).
- Architect and maintain cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) to ensure scalability, reliability, and performance.
- Ensure interoperability between their products and tools, client martech stacks, and external media platforms.
- Implement data validation, cleansing, and monitoring frameworks to ensure accuracy and reliability of client data.
- Enforce data privacy and compliance standards (GDPR, CCPA, and client-specific governance frameworks).
- Develop processes to document lineage, metadata, and manage user permissions across datasets.
- Partner with data planners and strategists to translate client business needs into technical data solutions.
- Provide technical expertise to support CDP implementation, tagging, and identity resolution strategies.
- Collaborate with analytics teams to optimize data availability for dashboards, econometric models, and campaign reporting.
- Work closely with their Chief Product Officer and other members of the engineering and product teams to collaborate on their own products and capabilities.
- Eventually, mentor junior data engineers, ensuring consistent delivery of code and products within organisational best practices.
- Lead data engineering input in client discussions and technical workshops, articulating complex systems in clear, strategic language.
- Stay ahead of emerging data engineering technologies, martech integrations, and media data standards; recommend innovations that improve efficiency and performance.
- Youre highly organized and deliver excellence without compromise.
- You think like an entrepreneurcurious, bold, and unafraid to get stuck in.
- They do not require a minimum years of experience, but you do need to have significant experience in data strategy, analytics, and planning, ideally with an agency background.
- Expertise in and a strong point of view on the role of data in brand strategy, creative, paid media, and overall effectiveness measurement.
- Deep understanding of how data drives modern media investment across channels (predominantly, CTV, retail media, social, and search).
- Strong knowledge of major marketing technology providers and tools (their partners include marketing automation like Braze; DSPs including the Trade Desk; CDP providers like Rokt/formerly mParticle; reporting platforms like AdVerity, among others)
- Proven ability to design measurement frameworks, manage data governance considerations, and translate insights into business growth.
- Youve helped scale a start-up, agency, or consultancy.
- Youve lived the battle of challengers vs. incumbents.
- You have experience inputting and developing advanced marketing analytical models or data science outputs, including media mix modelling,
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