Services
Senior engineering across the full data platform lifecycle — architecture, delivery, optimisation, quality, and AI. Each engagement is led end to end by the senior engineer who scopes it.
Data Architecture
A clear architecture for the platform your business actually needs — designed around your workloads, your team, and the way the data moves today.
We start with the current state, map out what's working and where the friction lives, and design a target architecture your team can build, defend, and extend over time.
What you get
A documented assessment of the current platform- A target architecture with Architecture Decision Records
- A phased roadmap with clear milestones and dependencies
Pipeline Delivery
Production pipelines built to run reliably and evolve with your business — tested, observable, and ready to operate from day one.
Every pipeline is delivered with the engineering practices that make it maintainable: version control, CI/CD, automated testing, monitoring, and clear operational documentation.
What you get
- End-to-end pipelines with full test coverage
- CI/CD and orchestration aligned to your team's workflow
- Operational runbooks for everyday support
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Performance & Cost Optimization
Focused improvements to compute, storage, and query patterns — with measurable savings and faster pipelines as the outcome.
We profile your workloads, identify the highest-impact opportunities, and implement the fixes. Every change is measured, so the impact is visible on your next invoice and in your pipeline timings.
What you get
- A spend audit with itemised, ROI-ranked findings
- Implemented fixes at the cluster, query, and storage layer
- Before/after benchmarks to share with stakeholders
Data Quality & Observability
Quality and observability built directly into your pipelines — so issues surface where they happen, and trust in the data stays intact.
Validation, freshness monitoring, anomaly detection, and lineage are part of the platform's design from the start. The result is a system your team and your stakeholders can rely on.
What you get
- Validation, freshness, and anomaly checks running in production
- End-to-end lineage and observability
- Alerting routed to the right people
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AI Solutions
AI and ML capabilities built on a data foundation that's ready for them — from retrieval-augmented systems to autonomous agents and feature pipelines.
The data layer is engineered first: clean inputs, clear access patterns, and the throughput that AI and ML workloads need. The application layer is delivered alongside it.
What you get
- Retrieval and search systems grounded in your internal data
- Agents and workflow automation for production use
- Feature pipelines and infrastructure for ML and LLM workloads