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🤖 Data, AI & ML Engineers

Hire Dedicated Business Intelligence Engineers — India, US, UK & Australia

Hire pre-vetted business intelligence engineers who build the data warehouses, models, and dashboards your whole company reports from. Golonex places dedicated India-based BI engineers with US, UK, Australian, and Indian teams — working in your timezone, under NDA, integrated within one week and with no lock-in.

The role

What a Business Intelligence Engineer does

A BI engineer builds the reporting backbone: ingesting data, modelling it in a warehouse, defining metrics in a semantic layer, and delivering trustworthy dashboards. Our engineers work across Snowflake, BigQuery, and Redshift, transform data with dbt and SQL, and ship governed dashboards in Power BI, Tableau, or Looker with documentation and testing.

Core expertise

Data warehousing (Snowflake, BigQuery, Redshift) dbt SQL ETL / ELT pipelines Dimensional modelling (star schema) Semantic / metric layers Power BI Tableau Looker / LookML Data quality testing Airflow Python Data governance Performance tuning
Outcomes

What a Golonex Business Intelligence Engineer builds for you

Cloud data warehouses and dimensional models
dbt transformation pipelines with tests and documentation
Governed semantic layers and metric definitions
Executive and operational dashboards across teams
Automated ELT ingestion from apps and databases
Data-quality monitoring and reporting frameworks
Engagement

How it works

Engagement models

Full-time dedicated Part-time / hourly Remote Hybrid Onsite (US · UK · India)

Based in India, working in your timezone. Onsite options available across the US, UK, and India.

Category

🤖

Data, AI & ML Engineers

Demand: High demand
Why Golonex for Business Intelligence Engineers

The Golonex difference

Named, pre-vetted engineers

Every Business Intelligence Engineer is screened for technical depth, communication, and reliability before you meet them — a sub-30% pass rate at the technical stage.

Integrated within 1 week

From enquiry to working team member in 5 business days. We handle onboarding, NDA, and access logistics.

Your timezone

India-based talent working overlapping hours with US, UK, and Australian teams. Daily standups and real-time collaboration, agreed upfront.

NDA-protected, no lock-in

Full IP and confidentiality protection as standard. Month-to-month engagements — scale up or down as your project evolves.

FAQ

Hiring a Business Intelligence Engineer — FAQs

How quickly can I hire a BI engineer through Golonex? +

Usually within one week. We shortlist pre-vetted BI engineers matched to your warehouse and BI tools — Snowflake, dbt, Power BI, or Looker — you interview them, and the selected engineer is onboarded within 5 business days.

Do your BI engineers work in my timezone? +

Yes. Our engineers are India-based but work overlapping hours with US, UK, and Australian teams. The overlap window is agreed up front so reviews and stakeholder sessions happen in real time.

How is a BI engineer different from a data analyst? +

A BI engineer builds and maintains the data infrastructure — warehouse models, pipelines, and the semantic layer — that analysts and business users report from. Analysts consume that layer to answer questions; BI engineers make sure the numbers are consistent and trustworthy across the organisation.

Can they modernise our existing reporting setup? +

Yes. A common engagement is migrating from spreadsheets or legacy reporting to a modern warehouse plus dbt and a governed BI tool. Our engineers plan the migration, model the data, and cut over dashboards with minimal disruption.

How do you vet BI engineers? +

Every candidate passes a technical assessment on real data-modelling and SQL scenarios plus an architecture review, a communication assessment, and reference checks from at least two prior engagements. Our technical pass rate is under 30 percent.

Get started

Ready to hire a Business Intelligence Engineer?

Tell us the role, stack, and timeline. We'll match you with a named, pre-vetted engineer — integrated within 1 week.