Data Warehousing
Design and build of cloud warehouses and lakehouses on Snowflake, BigQuery, Databricks, Redshift or Synapse — dimensional modelling, layered architecture, cost controls.
Explore
Delivery hubs in Dubai · Islamabad · Singapore
Turn scattered data into decisions your business can act on
Quantix Technologies designs, builds and runs modern cloud data platforms for organisations across the Middle East, Pakistan and Asia Pacific. Migration off legacy warehouses, production-grade data engineering, and analytics people actually use — delivered in your time zone, under your data residency rules.
120+
Data pipelines in production
14
Countries served
99.9%
Pipeline SLA attainment
Where we work
Regional delivery, not offshore guesswork
Every engagement is staffed by consultants who work your business hours, understand your regulator, and know what "data residency" means in your jurisdiction.
Middle East
GCC & Levant
UAE, Saudi Arabia, Qatar, Oman, Bahrain, Kuwait and Jordan. On-shore data residency patterns for SAMA, NCA and UAE regulatory requirements.
- · Dubai and Riyadh delivery presence
- · Arabic/English bilingual reporting
- · Hijri and fiscal calendar modelling
Pakistan
Karachi · Lahore · Islamabad
Our largest engineering centre. Deep bench of data engineers, plus first-hand experience with SBP reporting and PTA data obligations.
- · Full-time engineering pods
- · SBP / SECP reporting expertise
- · Cost-efficient managed operations
Asia Pacific
SEA & ANZ
Singapore, Malaysia, Indonesia, Australia and New Zealand. Multi-entity, multi-currency data models built for cross-border groups.
- · PDPA / Privacy Act aligned design
- · Multi-region cloud architectures
- · Follow-the-sun support coverage
What we do
End-to-end data capability, one accountable partner
We are deliberately not tied to a single vendor. We recommend the stack that fits your budget, your team's skills and your regulator — then we build it and keep it running.
Data Engineering & ETL
Production pipelines with dbt, Airflow, Spark, Kafka and Fivetran. Version-controlled, tested, monitored and documented — not one-off scripts on someone's laptop.
ExploreAnalytics & BI
Semantic layers and dashboards in Power BI, Qlik, Tableau and Looker. Governed metrics so finance, ops and the board finally agree on the same number.
ExploreMigration & Modernisation
Teradata, Netezza, Oracle Exadata and on-prem SQL Server moved to cloud with parallel-run validation and zero-surprise cutover plans.
ExploreManaged Data Operations
We run the platform after go-live: SLA-backed monitoring, incident response, cost optimisation and continuous pipeline improvement.
ExploreData Security & Governance
Classification, masking, lineage, access control and audit readiness — aligned to ISO 27001, SAMA CSF, NCA ECC, PDPA and GDPR.
Explore
How we engage
A delivery model built to survive contact with reality
Most failed data programmes fail for the same reasons: a boiled-ocean scope, no business owner, and a platform nobody can operate after the consultants leave. We work in short, funded increments that put something usable in front of your business inside the first quarter.
- Fixed-price discovery so you can evaluate us cheaply before committing
- First production dataset live in 6–10 weeks, not 12 months
- Everything in your cloud account, your git repo, your names
- Knowledge transfer and runbooks contractually included
1
Discovery & assessment
Two to three weeks. We inventory your sources, profile data quality, map current reporting pain, and hand back a costed target architecture and roadmap — yours to keep whether or not you hire us.
2
Foundation build
Landing zone, security model, ingestion framework, CI/CD and observability. Built once, properly, so every later increment is fast and cheap.
3
Domain increments
One business domain at a time — finance, then sales, then operations. Each ends with a validated dataset and a dashboard a real user signs off on.
4
Operate & hand over
We run it under SLA while training your team, then step back to whatever level of support you still want. No hostage-taking.
Technology
Vendor-neutral by design
We hold certifications across the major clouds and warehouse platforms. The right answer depends on your workload profile, not our commission.
Snowflake
Databricks
BigQuery
AWS Redshift
Azure Synapse
Microsoft Fabric
dbt
Apache Airflow
Apache Spark
Apache Kafka
Fivetran
Informatica
Talend
Power BI
Qlik Sense
Tableau
Looker
Python
Terraform
Collibra
Outcomes
What good looks like
63%
Average reduction in warehouse run cost after migration
8×
Faster month-end close reporting cycle
10 wks
Typical time to first production dataset
94%
Of clients extend beyond their first engagement
Banking
Teradata to BigQuery migration
Tier-1 bank · PakistanRetired an ageing on-prem Teradata estate and rebuilt 400+ reports on BigQuery with a governed semantic layer and SBP regulatory extracts running unattended.
-58%Run cost
11 moCutover
400+Reports
Retail
Unified GCC retail analytics
Multi-brand group · UAE & KSAConsolidated six ERP instances across two countries into one Snowflake model with same-day sales, stock and margin reporting for 300 stores.
6→1ERP sources
4 hrData latency
300Stores live
Telecom
Streaming network analytics
Mobile operator · Southeast AsiaBuilt a Kafka and Databricks pipeline processing billions of CDR events per day, cutting churn-model refresh from weekly batch to near real time.
3.2BEvents/day
<90sLatency
99.9%Uptime
Common questions
Before you get in touch
Yes. We design to the residency rules that apply to you — UAE and Saudi in-country cloud regions, Pakistan on-prem or local hosting where SBP guidance requires it, and Singapore or Sydney regions for APAC. Where a workload genuinely cannot leave the country, we architect a hybrid pattern rather than forcing a cloud-only answer.
Almost always with a fixed-price discovery of two to three weeks. You get a documented current-state assessment, a target architecture, a phased roadmap and a cost model. It is deliberately small so you can judge how we work before signing anything larger — and the deliverable is yours regardless of what you decide next.
That is the preferred model. Blended pods of Quantix consultants and your engineers build faster and leave far more capability behind. Where you have no team yet, we run the platform under a managed service and help you recruit and train into it over time.
It depends on workload shape, existing cloud commitments and your team's skills. Snowflake tends to win on operational simplicity, BigQuery on ad-hoc scale-to-zero economics, Databricks where ML and streaming dominate, and Fabric where the organisation is already deep in Microsoft. We will show you the comparison and the numbers rather than assert an answer.
Discovery engagements are fixed-price and modest. Build phases are scoped per increment so you approve spend in stages rather than committing to a single large number up front. Managed operations are priced monthly against an agreed SLA. We will give you an indicative range on the first call once we understand source count and complexity.
Let's look at your data problem properly
Tell us what is broken — a reporting cycle that takes too long, a warehouse that costs too much, or data nobody trusts. We will tell you honestly whether we are the right people to fix it.