Data Engineering ServicesETL, AI Enrichment & Custom Data Acquisition
Four ways to work with us: build the pipeline, enrich the data you already have, commission the data you do not, or hire the team that does all three. Most clients start with one and end up asking for another.
// WHAT WE BUILD
ETL & PIPELINE DEVELOPMENT
New data pipelines built to your schema, or existing ones rebuilt. Batch, incremental, or change data capture — whichever the source actually supports rather than whichever is fashionable.
AI ENRICHMENT & UNIFICATION
Attributes your records never carried, added by inference, and sources with no shared key joined into one record. Entity resolution across systems that were never designed to meet.
CUSTOM DATA ACQUISITION
Managed web scraping and bespoke dataset builds from any public source. You describe the fields; we handle the crawling, parsing, schema and the ongoing maintenance that keeps it a feed rather than a one-off.
MIGRATION & MODERNISATION
Moving off legacy ETL, consolidating warehouses, or migrating to a lakehouse. We map dependencies first, cut over in stages, and keep the old path running until the new one is proven.
// HOW WE WORK
SCOPED BEFORE BUILT
We look at the sources before quoting. If the requirement is a fifteen-minute refresh rather than genuine streaming, we will say so rather than sell you the harder build.
MAINTAINED, NOT DELIVERED
Sources change markup, tighten limits and move fields. Validation, schema drift detection and freshness checks are part of the build, not an upsell after it breaks.
YOUR STACK, NOT OURS
We work in the scheduler and warehouse you already run. Handover includes the runbook, because the goal is a pipeline your team owns rather than one that needs us.
Tell us the source, the fields and the cadence.
We reply with a sample payload and a price. If it is not something we should build, we will tell you that instead.
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