Data Engineering
Modern lakehouses, streaming pipelines, and governed data products on AWS, Azure, GCP, Snowflake and Databricks.
Learn more →Siffrum Analytics partners with forward-looking organisations to build modern data platforms, advanced analytics, and AI systems — engineered for scale, clarity, and trust.
Trusted by teams building the data-driven future
From raw data to real-time intelligence — we design the stack, model the logic, and deliver the insights that move your business.
Modern lakehouses, streaming pipelines, and governed data products on AWS, Azure, GCP, Snowflake and Databricks.
Learn more →Executive dashboards, forecasting, and decision models that turn metrics into measurable operating leverage.
Learn more →Production-grade ML, GenAI assistants, RAG systems and MLOps — built responsibly and with clear ROI.
Learn more →Power BI, Tableau and Looker implementations with semantic models your teams will actually trust.
Learn more →Catalogs, lineage, quality and privacy frameworks that make your data trustworthy and audit-ready.
Learn more →Cost-optimised cloud architectures, CI/CD for data, observability and SRE for mission-critical platforms.
Learn more →We audit your data landscape, stakeholders and goals to find the highest-leverage outcomes.
Reference architectures, data models and delivery plans — reviewed with your teams.
Agile squads ship governed data products in weeks, not quarters.
Managed services, FinOps and continuous improvement keep value compounding.
Talk to our team about your analytics, AI or data platform roadmap.