Data Engineering
Build the data infrastructure your business actually needs.
We design, build, and optimize scalable data pipelines, models, and infrastructure that turn Snowflake into a high-performance analytics and AI platform.
From Data to Insights
Most organisations arrive on Snowflake with a clear destination in mind — faster analytics, cleaner data, self-service reporting. What stands between that destination and today is data engineering. Claroda builds and operationalises the pipelines, models, and infrastructure that make Snowflake deliver on its promise.
Our Data Engineering Capabilities
Ingestion pipeline design & build
Build scalable batch, micro-batch, and real-time data pipelines tailored for Snowflake. Designed for reliability, performance, and seamless data movement across systems.
Data modelling
Develop modern data models using dimensional, Data Vault, and medallion architectures. Enables governed, analytics-ready data foundations built to scale.
dbt model development & deployment
Build, test, and deploy dbt models from raw ingestion to business-ready marts.
Ensures modular, documented, and maintainable transformation workflows.
Snowpark development
Develop native Python and Java workloads directly within Snowflake using Snowpark. Unlock advanced processing, ML, and application use cases without moving data.
DevOps & CI/CD for Snowflake
Implement automated testing, version control, and deployment pipelines for data workflows. Enables faster releases, better collaboration, and reliable production deployments.
Data quality frameworks
Build automated testing, monitoring, and alerting across your data products.
Ensures trusted, high-quality data with proactive issue detection.
Semantic layer implementation
Create governed semantic layers using Cortex Analyst, dbt Semantic Layer, and BI integrations. Delivers consistent business metrics and self-serve analytics across teams.
Snowflake platform optimisation
Optimize query performance, warehouse sizing, and overall platform efficiency. Helps reduce costs while improving speed, scalability, and user experience.
Why Choose Claroda
Data engineering work at Claroda is not delivered by generalist developers learning Snowflake on your engagement. Our team is Snowflake-certified, our tooling is purpose-built for Snowflake delivery, and our CLAID framework ensures every pipeline is built to a consistent standard, tested, documented, and maintainable by your team after we leave.
We also build with your eventual independence in mind. The goal is always a platform your team can own.
50+
Snowflake Practitioners
100%
Snowflake Focused
AI-Ready
From Day-1
4+
Active Partners
Take the next steps with Claroda
Ready to build it right?
Talk to us about where you are and what it would take to get you where you need to be.