Data Engineering

Turn data into decisions.

Pipelines, warehouses and analytics that make your data trustworthy, accessible and useful.

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What we do

Data Engineering capabilities

Data pipelines

Reliable ingestion and ETL that bring your data together cleanly.

Warehouses & lakes

Modern warehouses and lakes on Snowflake, BigQuery and more.

Analytics & BI

Dashboards and reporting your team can actually act on.

Automation

Automated, monitored data workflows that run themselves.

AI-ready data

Clean, structured data that powers AI and ML use cases.

Governance

Quality, lineage and access control you can trust.

How we work

A clear path from idea to launch

STEP 01

Discover

We map your goals, users and scope into a clear, fixed plan.

STEP 02

Design

We design the core flows and a UI your users will actually love.

STEP 03

Build

We ship working software every week, with demos you can try.

STEP 04

Launch & scale

We launch, measure and tune as your users and load grow.

Proof

Work we have shipped

FabriceAI

A real-time assistant answering from an investor’s entire body of work.

View the project →

Why Zimozi

Built like a team, not a vendor

From idea to live in weeksTight scope, fast iterations and something real in users’ hands quickly.

Secure and built to scaleFintech-grade security, clean code and infrastructure tuned to grow.

Senior by defaultYou work with engineers who have shipped products, not juniors on your budget.

You own the IPAll code, design and IP we produce is yours, under NDA from day one.

FAQ

Questions teams ask us

Modern data stacks: Snowflake, BigQuery, dbt, Airflow and cloud-native services, chosen for your needs.

Yes. Clean, well-structured pipelines are the foundation for reliable AI and analytics.

Yes, BI and reporting on top of the pipelines so the data drives decisions.

Want your data working for you? Let’s talk.

Tell us what you’re working on. We’ll come back with a clear, fixed-scope plan to ship it.

Book a free call