Make reliable data available where the business needs it.
Pipelines, transformations, storage, integrations and data infrastructure. Baaraku matches around the work, tools, working hours and outcome you need.
Tell us who you need →Put recurring work in capable hands.
ETL and ELT workflows
Warehouse and lakehouse support
Data integrations and APIs
Transformation and orchestration
Data quality documentation
Built around the work.
Define the responsibilities, tools, schedule and level of ownership. Baaraku helps you meet talent aligned to that requirement rather than forcing your business into a generic staffing package.
From requirement to working capacity.
Define the work
Tell us what needs to get done and what good looks like.
Meet talent
Review people aligned to the role and responsibilities.
Interview
Meet the candidates you want to evaluate.
Build from there
Start with the capacity you need and expand when it works.
Questions before you hire.
What can a data engineer help build?+
A data engineer can support pipelines, ETL/ELT workflows, warehouses or lakehouses, integrations, APIs, transformations, orchestration and data-quality infrastructure.
Can I hire around our existing data stack?+
Yes. Your sources, storage platform, orchestration tools, transformation layer and downstream users should be part of the requirement.
Is this role useful for AI projects?+
Often, yes. AI and analytics systems depend on dependable data foundations, although the exact role should be scoped around your specific product and architecture.
How do I start?+
Describe where your data comes from, where it needs to go and the infrastructure or pipeline work that needs an owner.
Tell us what needs to move.
We’ll help turn the business need into a clear role and practical hiring path.
Start a consultation →