Data Engineering
Pipelines, quality checks and orchestration that make analytics dependable.
Analytics fails at the pipeline long before it fails at the model. A silent schema change upstream, a partial load nobody alerted on, and the dashboard is confidently wrong for a fortnight.
We build pipelines with quality checks, orchestration and alerting so the data behind your reporting is dependable — and failures are loud.
How we approach it
We treat pipelines as production software: version controlled, tested, monitored and documented. Data quality tests run on every load, and a failing test blocks publication rather than warning quietly.
Why this matters
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Failures are loud
Broken loads alert immediately instead of surfacing weeks later.
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Quality enforced
Freshness, volume and integrity tested on every run.
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Reproducible
Version-controlled transformations that can be replayed exactly.
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Scales with volume
Incremental processing that stays affordable as data grows.
What is included
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Ingestion
Batch and streaming ingestion from your operational systems.
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Transformation
Modular, tested transformations under version control.
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Orchestration
Dependency-aware scheduling with retries and backfill.
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Quality testing
Automated tests that block publication of bad data.
How we deliver it
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01
Discover
Workshops with the people who will use it, a map of the systems the data platform has to fit alongside, and written agreement on what success looks like.
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02
Design
Architecture, data model and interface prototypes, reviewed with your team before any production code is written.
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03
Build
Two-week increments with a demo environment you can use throughout, so the roadmap stays open to change.
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04
Harden
Load testing, security review, accessibility audit and the operational tooling needed to go live safely.
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05
Operate
Support, iteration and a documented handover whenever you decide to run it in-house.
What you receive
- Source system assessment and ingestion design
- Production pipelines under version control
- Data quality test suite
- Orchestration with alerting and backfill tooling
- Runbook and handover documentation
Tell us about your idea, and we'll make it happen.
Have a problem that needs solving? We would like to hear about it.