TechHive 
Senior Engineers, Mobilised in Days — Not Quarters
Get a focused shortlist of relevant, available specialists — already matched to the role, seniority and delivery context — so your engineering leaders spend less time screening and more time making the final choice. Typical mobilisation: 7–14 days verify before publish
Meet Fewer Candidates. Make a Confident Choice Faster
TechHive narrows the field before candidates reach your team.
Roles across Retail Data and Engineering Delivery
Retail Data & AI is our strategic focus — supported by software, integration, cloud, platform, quality and technical delivery capabilities.
Data Engineer
Pipelines, source integrations, testing, lineage and observability for governed data domains.
Data Architect
Platform architecture, integration patterns and target-state design inside brownfield environments.
Analytics Engineer
Tested semantic models and transformation layers (dbt and comparable tooling).
Cloud Data Engineer
Fabric, Databricks, Snowflake and cloud-native platform engineering.
DataOps Engineer
Reliability, deployment automation and monitoring for data platforms.
BI Developer
Dashboards and reporting for defined business domains.
Power BI Developer
Enterprise Power BI models, governance and self-service enablement.
Data Analyst
Analysis, KPI definition and decision support close to the business.
Analytics Consultant
From business question to measurement design and adoption.
Reporting Specialist
Automation of recurring report packs and reconciliations.
AI / ML Engineer
Applied model development and integration into enterprise workflows.
Data Scientist
Use-case validation, experimentation and measurable model value.
MLOps Engineer
Deployment, monitoring, evaluation and production operations for ML and LLM systems.
LLM / RAG Engineer
Governed assistants, document intelligence and agentic workflows.
Backend Engineer
Services, APIs and integrations behind data and commerce workflows.
Frontend Engineer
Product interfaces and internal tools engineered for adoption.
Product Engineer
Full-stack delivery with product ownership mindset.
Integration Engineer
ERP, WMS, OMS, CRM and commerce interface delivery and stabilisation.
Cloud Engineer
Azure, AWS and GCP environments engineered for security and cost.
DevOps Engineer
CI/CD, automation and delivery infrastructure.
Platform / Infrastructure Engineer
Internal platforms that development and data teams build on.
SRE
Reliability, observability and incident readiness.
QA Engineer (Manual / Automation)
Release quality, test automation and performance engineering.
Solution Architect
Architecture ownership across data, cloud and application layers.
Business / Systems Analyst
Requirements, process and systems analysis that keeps delivery grounded.
Delivery Manager / Tech Lead
Agile delivery and technical leadership for embedded teams.
From One Expert to a Full Team
Individual Specialist
Best for: a niche skill gap or extra senior capacity.
One senior engineer embedded in your team, your processes, your tools.
Engineering Squad
Best for: one priority workstream.
A cross-functional unit — e.g. Data Engineer + Analytics Engineer + BI — working under your priorities.
Dedicated Team
Best for: a long-running product or platform area.
A stable team with its own delivery rhythm, ramped and managed for continuity.
Part-Time Expert
Best for: architecture, review or advisory needs.
Senior expertise on a fractional basis — hours or days per week, not full-time headcount.
Need Relevant Engineering Capacity?
Describe the roles, skills or team context. TechHive will follow up with focused questions.
From Requirement to Onboarding
A defined, low-friction path. Typical total: 7–14 days for established role profiles verify before publish
Role, seniority, stack, team context, security constraints and start date. A 30-minute call is usually enough.
Day 0–1Pre-vetted candidates matched on skills, domain and communication — with availability confirmed.
Day 2–5Technical and cultural interviews on your side. Replace candidates until the fit is right.
Day 5–10Access, data-handling rules and delivery locations documented and agreed before access is granted.
Day 10–14Tell Us What Expertise or Capacity You Need
Use the same short contact form. Add roles, skills, team context, expected timing or any constraints you already know. TechHive will follow up with focused questions.