Data Pipeline DevelopmentWe build the plumbing
that makes your data
actually usable.
Every dashboard, report, and analytics layer is only as good as the data feeding it. We build the pipelines that get your data in, cleaned, reconciled, and reliable — the unglamorous foundation everything downstream depends on. It is what we run at scale on our own platform.
app.yourmarketplace.com
Live marketplace
Two-sided liquidity, one platform
Supply and demand, matched. Listings, search, payments, and trust — built to move volume.
Recent activity
NNew listinglive
BBroker onboardedverified
EEnquiry matchedsent
PPayment cleared£4,200
Platforms and marketplaces we have built and worked on
sellyourboat.ioKompiPaybusesforsale.comeuropeanyachtbrokers.comLoopa
What we buildThe foundation
under everything.
Pipelines are invisible when they work and catastrophic when they do not. We build them to be reliable, from the start.
01
Extract
Getting data reliably out of the systems where it actually lives.
02
Clean & reconcile
Making messy, inconsistent data trustworthy and agree with itself.
03
Transform & model
Shaping raw data into a consistent structure everything downstream can use.
04
Scheduled & monitored
Running reliably and catching failures before they corrupt your numbers.
05
Owned by you
The pipeline and its logic, handed over. No platform lock-in.
The pipeline is where a data project succeeds or fails
When people imagine a data project, they picture the dashboard. But the dashboard is the easy, visible part. The hard, valuable part is everything upstream: getting the data out of the systems where it lives, cleaning it, reconciling inconsistencies, and shaping it into something trustworthy. That is the pipeline, and it is where most of the real effort — and most of the risk — in any data project actually sits.
It matters because everything downstream inherits the pipeline's quality. A dashboard, a BI report, an analytics feature — all of them are only as good as the data flowing into them. A beautiful report built on a broken pipeline is worse than no report at all, because it looks authoritative while quietly being wrong, and people make real decisions on it. Get the pipeline right and everything above it can be trusted. Get it wrong and nothing above it can.
So we treat the pipeline as the foundation it is. It is unglamorous work — nobody demos a data pipeline — but it is the single most important part of making data genuinely usable, and we build it with the care that importance deserves.
It has to keep runningA pipeline is infrastructure, not a one-off cleanup
A data pipeline is not a single cleanup job you run once and forget. It is living infrastructure that has to keep working as new data arrives, day after day, without silently breaking. New records come in messy, source systems change, edge cases appear — and the pipeline has to handle all of it reliably, or the clean data it produced yesterday quietly rots.
So we build pipelines to run reliably and to be watched. Scheduled or event-driven processing that keeps the data current, transformation and reconciliation logic that holds up as inputs vary, and monitoring so that when something does go wrong, you find out and fix it — rather than discovering weeks later that your numbers have been subtly wrong the whole time. Silent failure is the worst outcome in data infrastructure, and we build to prevent it.
This reliability is the difference between a pipeline you can build your business's reporting on and one that becomes a recurring fire. We build the former, because that is what real data infrastructure has to be.
ProofWe run data pipelines at scale, in production
The clearest proof we can offer on pipelines is that we run them at scale on our own platform. sellyourboat.io is a Wall & Fifth venture handling over 12,000 structured listings across 18 countries, kept consistent, searchable, and current — which is precisely the job of a data pipeline, done reliably in production.
Getting a large, messy, real-world dataset into a clean and dependable state, and keeping it that way as new data flows in continuously, is exactly the pipeline problem, and we have solved it on our own venture with our own money at stake. So we build your pipeline from operating real data infrastructure, not from a diagram.
We have also handled transactional and payments data across client work including KompiPay. Reliable data plumbing is a category we live in.
The buildProduction stack, fixed price, owned outright
We build data pipelines on a real production stack — PostgreSQL, robust transformation logic, scheduling and monitoring, deployed properly — the same foundation under our own products. We build to fit your sources and your reliability needs, not to inflate the invoice.
We work to a fixed price. From 16,000 GBP for a focused pipeline — getting one or two key sources in, cleaned, reconciled, and reliable — and from 30,000 GBP for a larger build across multiple sources with transformation, scheduling, and monitoring. Any third-party usage, such as a data warehouse, is passed through to you at cost, never marked up.
And you own all of it: the pipeline, the transformation logic, the code, handed over on delivery. No platform you keep paying to keep your own data flowing, no licensing, no lock-in. Yours to run, change, and extend with us or any team you choose.
ProofWe run data pipelines at scale, in production
sellyourboat.io keeps 12,000+ structured records clean, consistent, and current — the pipeline problem, solved and running. We build yours from operating one.
12,000+
records kept current
PricingFixed price, scoped to the sources
A defined price for a defined build. Priced around getting your data trustworthy, not screen count.
Pipeline MVP
from £16,000
One or two key sources in, cleaned, reconciled, and reliable for what depends on them.
Extensive Build
from £30,000
Multiple sources with transformation, scheduling, monitoring, and real reliability.
Embedded Partner
from £8,000 /mo
Ongoing senior involvement: adding sources and keeping the pipeline reliable as data grows.
Build the pipeline
everything else depends on.
Tell us where your data lives and how messy it is. We will build the pipeline that makes it clean, reliable, and ready to use.