RVYA

Data & AI practice

Data and AI specialists
for work in production.

Data and AI projects need combinations of skills a job title does not capture. We look at what people have built: pipelines, platforms, models and the systems around them. Specialist contracting first.

Data engineering & modern data platforms

Pipelines, warehouse and lakehouse platforms, and the data models other teams build on.

Typical rolesData Engineer · Data Platform Engineer · Streaming Engineer · Senior Data Engineer

Analytics engineering & BI

Transformation layers, semantic models and reporting that people across the business rely on.

Typical rolesAnalytics Engineer · BI Developer · BI Analyst · Data Analyst

Cloud data infrastructure & modernisation

Moving data platforms to the cloud, or rebuilding the ones already there.

Typical rolesCloud Data Engineer · Data Platform Architect · DataOps Engineer

Machine learning engineering

Taking models from experiments to monitored systems in production.

Typical rolesMachine Learning Engineer · MLOps Engineer · LLMOps Engineer · Data Scientist

Applied AI & AI implementation

Building AI features and agents into real products and client environments.

Typical rolesApplied AI Engineer · Agent Engineer · Forward-Deployed Engineer · AI Solutions Architect

GTM & automation engineering

Hire engineers to connect revenue systems and automate business workflows.

Typical rolesGTM Engineer · Revenue Systems Engineer · Automation Engineer · Technical RevOps Specialist · Marketing Systems Engineer

Data architecture & governance

Data models, lineage, access and quality rules for data that has to stand up to scrutiny.

Typical rolesData Architect · Data Governance Lead · Data Quality Analyst

The skills behind
the title.

Retrieval-augmented generation (RAG) · Agent orchestration · AI evaluations · Model deployment and monitoring · Streaming pipelines · Semantic layers · Data quality and lineage · Access and governance controls

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Your Data & AI
requirement.

Tell us about the work and the experience it calls for.

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