Data Engineering
Most organisations sit on enormous amounts of data that's siloed, inconsistent, or simply inaccessible to the people who need it. We fix that. Our data engineering practice builds the foundations that unlock analytics, machine learning, and business intelligence — on time, at scale, and with quality you can rely on.
We handle everything from source-to-sink pipeline design to warehouse architecture to real-time streaming infrastructure. Our teams are comfortable with the full modern data stack and work closely with your business and engineering stakeholders to ensure the data you get is the data you actually need.
WHAT WE DELIVER
Concrete outputs, not just advice
Cloud Data Warehouses
Design and implementation of Snowflake, BigQuery, or Redshift warehouses with dimensional modelling, partitioning strategies, and cost-optimised query patterns.
ETL / ELT Pipelines
Reliable, monitored data pipelines that extract from any source — databases, APIs, files, streams — transform with business logic, and load to your target systems.
Data Lake Architecture
Medallion-architecture data lakes on S3, ADLS, or GCS with Delta Lake or Apache Iceberg for ACID transactions, schema evolution, and time travel.
Real-Time Streaming
Apache Kafka and Flink-based streaming pipelines for event-driven architectures, real-time analytics, and low-latency data delivery.
Data Modelling & dbt
Semantic layer design, dbt model development, testing frameworks, and documentation so every metric in your BI tool traces back to a trusted, tested source.
Data Quality & Governance
Automated data quality checks, lineage tracking, cataloguing, and alerting so issues are caught before they reach dashboards or models.
USE CASES
Where we've delivered
Unified customer data platform processing 50M events/day
Built a real-time CDP that consolidates online, in-store, and third-party data into a single customer view powering personalisation and analytics.
Real-time transaction processing pipeline with sub-100ms latency
Designed a Kafka-based streaming architecture for a fintech client processing millions of transactions per hour with fraud scoring integrated inline.
Clinical data integration across 12 disparate source systems
Delivered a HIPAA-compliant data platform integrating EHR, lab, imaging, and billing data into a unified warehouse for population health analytics.
Content analytics pipeline reducing reporting lag from days to minutes
Replaced a batch-based reporting stack with a streaming pipeline that surfaces content performance metrics in near real-time for editorial decisions.
TOOLS & TECHNOLOGIES