Data Platform Delivery
We design, build, and operate data platforms end to end. Fixed-scope delivery engagements or embedded engineering teams — whichever fits your situation.
What we deliver
Cloud Data Warehouse & Lakehouse
Greenfield builds and migrations of modern data warehouses and lakehouses on Databricks, Snowflake, Microsoft Fabric, BigQuery, and Redshift.
Ingestion Pipeline Design & Delivery
Batch and streaming ingestion from SaaS, databases, IoT, and event sources using Fivetran, dbt, Kafka, Airflow, and custom Spark pipelines.
Data Governance & Cataloguing
End-to-end governance implementations on Microsoft Purview, Collibra, Alation, and Informatica IDMC — metadata, lineage, policies, and classification.
Data Mesh Architecture
Domain-oriented data ownership design, data product contracts, and platform infrastructure to support federated analytical systems at scale.
Streaming & Real-time Platforms
Low-latency data platforms using Kafka, Spark Structured Streaming, Flink, and cloud-native event services for operational and analytical use cases.
AI / ML Data Layer & Feature Stores
Data infrastructure for machine learning: feature stores, RAG pipelines, vector databases, and the data layer behind LLM-powered products.
Our delivery model
Fixed-scope delivery
Defined scope, timeline, and outcome. Suited to well-defined migrations, new platform builds, and governance implementations.
Embedded teams
Engineers working inside your sprint cycles alongside your team, with full knowledge transfer so you own the outcome.
Operate & optimise
Post-delivery support and continuous improvement: performance tuning, cost optimisation, and evolving the platform as your data grows.
Ready to build?
Tell us about your data platform challenge and we'll scope an engagement together.
Discuss a project