What is data engineering for marketing?
Data engineering for marketing is building the warehouse, pipelines, identity layer and dashboards that the rest of the marketing stack runs on. Stitch builds this layer on Snowflake, BigQuery and Microsoft Azure, with reverse ETL through Hightouch and Census, for businesses across New Zealand and Australia, so CDPs, lifecycle platforms and models get trusted data.
Who it's for
It is for marketing, product and finance teams who want to own their data layer.
It suits businesses whose CDP, lifecycle platform or marketing mix model needs cleaner, connected inputs, such as Turners, Real NZ and Serko AI.
A CDP is only as good as the data flowing into it. A lifecycle platform is only as good as the audiences feeding it. A marketing mix model is only as good as the spend, revenue and creative inputs it consumes. Stitch builds the layer underneath.
Three million user records and 500,000 PII records under management for Turners. Two-way data warehouse sync into Microsoft Azure and Power BI for Real NZ. Data Warehouse to Braze via Cloud Data Ingestion for Serko AI. Stitch works with Azure Databricks for Skills Group, feeding data to ad platforms.
Related case studies
What we do
- Warehouse build-outs on Snowflake, BigQuery and Microsoft Azure
- Azure Databricks feeding data to ad platforms and Microsoft Dynamics for Skills Group
- Reverse ETL via Hightouch and Census from warehouse to activation tools
- Server-side data ingestion via Stape, GTM, Cloud Data Ingestion and HTTP APIs
- Identity resolution and PII governance
- Looker Studio, Power BI and Tableau dashboards tied to operational metrics
- Custom MCP server development for AI-native operating models
FAQ
Do you build the warehouse from scratch?
Often, yes. Greenfield Snowflake or BigQuery deployments are common.
Do you do reverse ETL?
Yes. Hightouch and Census are core tools.
Which platforms do you work with?
Snowflake, BigQuery, Microsoft Azure and Azure Databricks for data platforms, Microsoft Dynamics for CRM, Hightouch and Census for reverse ETL, and Looker Studio, Power BI and Tableau for dashboards.
Do you handle identity resolution and PII?
Yes. Identity resolution and PII governance are part of the work. For Turners we manage 3 million user records and 500,000 PII records.
Do you work with Australian businesses?
Yes. Stitch is based in Auckland and works with businesses across New Zealand and Australia.
What results have clients seen?
Real NZ has two-way data warehouse sync into Microsoft Azure and Power BI. Serko AI's data warehouse feeds Braze via Cloud Data Ingestion.