Technology Consulting & IT Staffing
The talent and technology outcomes you need
WizeTek helps companies build stronger technology teams with pre-screened engineering, cloud, data, and AI professionals — and delivers defined consulting projects across AI, data, cloud, and software engineering.
What we do
Four ways we work with you
IT staffing is our established core business. Our consulting practices extend that expertise into defined technology initiatives where WizeTek takes responsibility for architecture, engineering, implementation and delivery.
IT & Tech Staffing
Build or scale your technology team with pre-screened professionals across software engineering, cloud, data, AI/ML, DevOps, QA, architecture and technical leadership. Available through contract, staff augmentation, contract-to-hire and direct hire models.
Explore staffing 02AI, Machine Learning & Generative AI
Move AI initiatives from idea to implementation. We support AI strategy, use-case discovery, model development, MLOps, generative AI applications, RAG solutions, AI agents, LLM integration and responsible AI practices.
Explore AI consulting 03Cloud, Data & Analytics
Modernize cloud and data environments across Azure, AWS and Google Cloud. Our teams help with cloud migration, data platforms, lakehouse architecture, data engineering, analytics, BI, integration, governance and platform optimization.
Explore cloud & data consulting 04Custom Software & Application Development
Design and build business applications, APIs, digital platforms and cloud-native software tailored to your requirements. We support architecture, development, integration, modernization, testing, deployment and ongoing engineering.
Explore software developmentIT & Tech Staffing
Curated shortlists, not resume volume
Every candidate is pre-screened, technically interviewed by a practitioner and background-checked before they reach you.
Engineering
- Full-stack Engineers
- Backend Engineers
- Frontend Engineers
- Mobile Engineers
Cloud & Platform
- Azure Architects
- AWS Architects
- Google Cloud Architects
- DevOps Engineers
Data, AI & Analytics
- AI / ML Engineers
- MLOps Engineers
- LLM & Generative AI Specialists
- Data Engineers
Consulting
Three practices, one delivery team
Defined engagements across AI, cloud and data, and custom software — scoped, built and handed over by the people who will still be there afterwards.
AI, Machine Learning & Generative AI
- AI & Machine Learning Solutions
- Generative AI & LLM Applications
Multi-Cloud, Data & Analytics
- Data Modernization & Cloud Migration
- Modern Data Platforms & Lakehouse
- Data Integration & ETL/ELT Pipelines
- Business Intelligence & Analytics
Custom Software & Application Development
- Custom Software Engineering
- Web & Mobile Application Development
Portfolio
What we build
Selected work across AI, data platforms and custom software.
Retail data platform on Azure
A lakehouse consolidating POS, ERP and e-commerce data into one reporting layer the whole business works from.
- Azure Data Factory
- Databricks
- Delta Lake
Document intelligence with generative AI
Retrieval-augmented extraction over a contract archive, with evaluation and guardrails built in before launch.
- Azure OpenAI
- Vector search
- Python
Forecasting models in production
Demand forecasting moved out of notebooks and onto a monitored MLOps pipeline with retraining and drift detection.
- Amazon SageMaker
- AWS Glue
- Python
Multi-cloud
The platforms we build on
Azure, AWS and Google Cloud carry most of our work — data, AI, and the applications we deploy on top. Pick a platform to see what we deliver on it.
Microsoft Azure
Our deepest bench. End-to-end data, AI and application platforms on the Microsoft stack.
Azure Data Factory
Orchestrated ingestion and ELT across your source systems.
Synapse Analytics
Warehousing and large-scale analytics workloads.
Microsoft Fabric
Unified analytics where it fits better than assembling parts.
Azure Machine Learning
Model training, registry, deployment and monitoring.
Azure Kubernetes Service
Containerized apps with autoscaling and zero-downtime deploys.
Azure App Service & DevOps
Web apps and APIs shipped through managed CI/CD pipelines.
AWS
Serverless-first data platforms, ML and container workloads on Amazon's managed services.
AWS Glue
Serverless ETL and the catalog behind it.
Amazon Redshift
Warehousing for consistent, governed reporting.
Amazon SageMaker
Model development through to managed endpoints.
AWS Lambda
Event-driven glue between systems and pipelines.
Amazon ECS & EKS
Containerized services with autoscaling and rolling deploys.
CodePipeline & CloudFront
Build, release and serve applications close to their users.
Google Cloud
Analytics and AI built around BigQuery and Vertex, with GKE and Cloud Run underneath the applications.
BigQuery
Warehousing and analytics at scale, with no cluster to run.
Dataflow
Streaming and batch pipelines on Apache Beam.
Vertex AI
Model training, tuning, deployment and generative AI.
Looker
Governed metrics and self-service exploration.
Google Kubernetes Engine
Containerized workloads with autoscaling and rolling deploys.
Cloud Run & Cloud Build
Serverless containers shipped straight from your repository.
Databricks
Lakehouse architecture, the same on whichever cloud it runs.
Lakehouse platform
One platform for engineering, analytics and ML.
Medallion architecture
Bronze, silver and gold layers with clear contracts.
Unity Catalog
Governance, lineage and access across workspaces.
MLflow
Experiment tracking and model registry.
Oracle Cloud
Data platform and migration work on Oracle Cloud Infrastructure.
Autonomous Database
Warehousing on Oracle's managed database services.
OCI data integration
Pipelines into and out of the Oracle estate.
Migration to and from OCI
Moving workloads without losing the reporting behind them.
SAP
Getting SAP data out to where the rest of the business can use it.
SAP data extraction
Reliable extraction into your analytics platform.
Integration with cloud platforms
SAP alongside Azure, AWS or Google Cloud.
Reporting on SAP data
Dashboards that combine SAP with everything else.
Contact us
Tell us what you need
A role to fill or a project to start — either way, we typically respond within one business day.
Ready when you are
Book a free consultation, or tell us the role you need filled. Either way, we’ll tell you where we’d start.