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Data Engineering & Business Intelligence (BI) Services in Dubai

Turn scattered data into trusted decisions. Stralya designs and delivers modern data platforms, automated pipelines, and BI dashboards—so leadership teams in Dubai can act on one version of the truth.

Overview

From raw data to business-ready insights

In fast-moving Dubai organisations, data is everywhere: ERP and CRM systems, eCommerce platforms, property portals, marketing tools, operational apps, and spreadsheets. The challenge is not “having data”, but making it reliable, governed, and usable.

 

Stralya delivers Data Engineering & Business Intelligence as a project-first service: we scope the outcomes, build the pipelines and models, and ship dashboards and datasets your teams can trust. Whether you need a new cloud data platform, a BI layer that standardises KPIs, or a rescue of an existing analytics stack, we take ownership—end to end.

What make us different:

Project-first delivery: clear scope, clear KPIs, clear acceptance criteria.
Trusted metrics: we define a single source of truth with governed data models and KPI definitions.
Cloud-native by design: scalable architectures on AWS, Azure, or GCP—built for growth in the UAE.
Security & access control: role-based permissions, auditability, and strong data governance.
Rescue capability: stabilise failing pipelines, fix broken dashboards, and restore confidence in reporting.

Delivery approach

A structured approach to Data Engineering & BI

Dubai teams expect speed, clarity, and accountability. Our delivery process is designed to reduce risk and increase confidence—from discovery to production.

We align stakeholders on business goals, reporting needs, and KPI definitions. We map data sources, data owners, data sensitivity, and success criteria.
We design the target data architecture (warehouse/lakehouse, orchestration, modelling, BI layer), choose tools aligned with your stack, and define governance, security, and environments.
We implement ingestion (batch/near-real-time), transformation, and data quality checks. We build curated models (facts/dimensions) and documented datasets for analytics.
We deliver dashboards and semantic models with consistent definitions, performance tuning, and role-based access—built for executives and operational teams.
We deploy to production with monitoring and alerting, train users, and provide ongoing maintenance and evolution under an SLA if needed.

Case Studies

Real solutions Real impact.

These aren’t just polished visuals they’re real projects solving real problems. Each case study 
apply strategy, design, and development.

View Work

Building a Monolithic Headless CMS with Next.js

A monolithic headless CMS, engineered with React and Next.js App Router to ship high-performance websites and product frontends fast, with clean content operations for non-technical teams.

6

weeks from first commit to production-ready CMS core.

3x

faster time-to-market for new marketing and product pages.

View Project Details

View Work

Mandarin Platform Project Takeover and Recovery

Taking over a third-party Mandarin e-learning platform to secure, stabilise and structure critical cloud-native components for long-term growth.

6

weeks to stabilise and secure the core platform after takeover.

0

critical incidents in production after Stralya’s recovery phase.

View Project Details

Client Testimonials

Projects delivered for ambitious teams

Popular Questions

Find Commonly Asked Questions

Typically: source system assessment, data pipeline build (ETL/ELT), data modelling, data quality rules, a governed semantic layer, BI dashboards, access control, documentation, and production deployment with monitoring.
Yes. We design the data layer to serve your current BI tool and improve performance and consistency through a strong semantic model and well-structured datasets.
Yes. We prefer fixed-price delivery when scope and acceptance criteria are clear. If your needs are evolving, we can start with a discovery sprint to lock scope before implementation.
We define KPIs with stakeholders, implement automated data quality checks, add reconciliation controls, document metric logic, and enforce governance so teams rely on one version of the truth.
Yes. We can audit pipelines and models, identify root causes (quality, performance, ownership, tooling), stabilise production, and deliver a remediation roadmap—then execute it.
A focused MVP can be delivered in 4–8 weeks depending on data source readiness. Larger enterprise platforms typically require phased delivery over multiple milestones.

Let’s Build Something Great

Tell us about your project, your goals, and your vision. We’ll take care of the tech, performance, and delivery.