Traditional staff augmentation gives you a CV and a day rate. Six months later the person knows your systems, and then they’re gone — taking the context with them.
DataTheta’s On-Demand model is different. Our experts work as part of your team — in your standups, in your systems, building your capability — with the backing of the wider DataTheta bench when you need to go deeper.
Senior data engineers who own your pipelines, platform, and DataOps practices — working as part of your engineering team, not alongside it.
Production-focused data scientists who build and maintain models in your environment — with the commercial sense to prioritise work that moves the business.
GenAI and LLM specialists who build, deploy, and maintain AI systems in your infrastructure — across RAG, agents, fine-tuning, and MLOps.
A senior DataTheta principal as your part-time CDO or Head of Data — strategy, governance, and team leadership without the full-time cost.
Dashboard developers, semantic layer architects, and analytics engineers embedded in your BI team — clearing backlogs and building lasting capability.
On-Demand experts who help you hire and onboard your permanent team — then hand over gracefully as your internal capability grows.
Traditional staff augmentation gives you a CV and a day rate. Six months later the person knows your systems, and then they’re gone — taking the context with them.
DataTheta’s On-Demand model is different. Our experts work as part of your team — in your standups, in your systems, building your capability — with the backing of the wider DataTheta bench when you need to go deeper.
Skills & context brief
Introduction & alignment
Structured onboarding
Scale and evolve
dbt, Airflow, Spark, Snowflake. Builds and maintains production pipelines. Owns DataOps practices. Comfortable leading technical decisions without hand-holding.
Builds and deploys production models. Comfortable in Python, MLflow, and cloud ML platforms. Translates business problems into model requirements — and back again.
RAG systems, LLM agents, prompt engineering, and fine-tuning. Deep experience with LangChain, vector databases, and production AI governance.
dbt, Looker, Power BI, Tableau. Builds semantic layers and dashboards that business teams actually use.
Senior principal who leads your data function part-time — setting strategy, governing architecture decisions, and building the team around a clear roadmap.
Platform design, technology selection, and technical governance for decisions that are too important to get wrong.
Building a data team faster than you can hire
Permanent hiring takes 4–6 months. A DataTheta expert is embedded in 2 weeks — and helps you define the role spec for the permanent hire they’ll eventually train.
A specific data engineering skill gap on a critical project
A data function is needed but a full team isn't justified yet
A data-heavy programme that needs consistent expert resource
A fractional CDO who also owns the data strategy and architecture roadmap — one expert, two outcomes.
An embedded engineer who executes the DataTheta-designed pipeline architecture — continuity between design and delivery.
An embedded AI engineer who maintains and extends the GenAI systems we've built — so they keep improving after go-live.
DataTheta is an enterprise Data, Analytics, and AI consulting company that helps organizations build AI-ready data foundations through Data Engineering, Data Science, Business Intelligence, Data Warehousing, Generative AI, and On-Demand Experts.
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Enterprise AI & Analytics
