Data Engineering Services in UAE
Build clean, reliable data pipelines that your teams can trust for BI, reporting, and AI.
ETL/ELT pipelines with monitoring + retries
BI-ready datasets for Power BI + analytics
Governed delivery: owners, logs, access controls
Problems We Fix with Our Data Engineering Solutions
If any of these are happening, your data foundation needs work.
Data is stuck in silos
(ERP, CRM, spreadsheets, apps, vendor systems)
Reporting takes days
because pipelines break or depend on manual work
Dashboards don't match
We unify ingestion and integration so insights aren’t trapped across tools and teams.
Cloud migration is risky
(downtime fears, data loss, unclear validation)
Compliance and security gaps
make audits stressful (access, logs, controls)
Scaling breaks everything
when volume grows or new sources get added
Real-time processing UAE needs
are rising, but batch jobs can't keep up
AI/ML initiatives stall
because data isn't clean, consistent, or usable
If one of these issues is blocking reporting,
let's fix your data foundation.
What Complere Delivers in UAE Data Engineering
Built for real-world UAE operations—not one-size-fits-all templates.Data Ingestion & Integration
Ingest data from ERP/CRM/apps/files, standardize datasets, and deliver via tables, APIs, or exports.
ETL / ELT Pipelines
Build maintainable ETL/ELT with incremental loads, reprocessing logic, and validation before BI layers.
Orchestration & Monitoring
Automate workflows with dependencies, retries, alerts, and SLAs—plus runbooks for smooth operations.
Data Modeling & Storage
Design lake/warehouse models for fast queries, reliable KPIs, and consistent datasets for reporting.
Cloud & Hybrid Engineering
Plan cloud/hybrid architecture for performance and cost, with migrations aligned to downtime windows.
Security & Governance Controls
Implement RBAC, encryption, audit logs, and clear ownership so access and changes stay controlled.
Data Quality Management
Set automated DQ checks, rule catalog, and exception handling so bad data is caught before reporting.
Modernization & Cloud Migration
Move legacy systems to modern stacks with validation, rollback planning, and minimal-downtime release.
Our Data Engineering Implementation Framework for UAE
How we deliver UAE data engineering projects-fast onboarding, controlled delivery, and production-ready pipelines.
Discovery & Alignment
We confirm KPIs, data sources, SLAs, and security, then lock the target architecture so scope stays clear and measurable.
Accelerated Onboarding
We work with SMEs from day one, use mapping and QA templates, and enable logging so builds start fast without confusion.
Integration Foundation
We set up a standard ingestion and landing layer with consistent conventions so new sources plug in quickly without rework.
Transform, Validate & Model
We build ETL/ELT with incremental loads and quality gates, then model datasets so BI and AI consume trusted numbers.
Govern, Release & Stabilize
We ship in controlled releases with monitoring, alerts, and runbooks so pipelines stay stable, owned, and auditable.
Stop running data projects on hope. Run them on a framework.
Case Study
The Challenge
Data was scattered across systems like CRM, billing, and Excel, with no single view. Departments had misaligned interpretations due to inconsistent data definitions. Poor data quality, including duplicates and outdated records, was worsened by manual processes for updates.
The Solution
We implemented Reltio as the central MDM hub, assigning unique IDs to customers and providers. Key systems were integrated via APIs, and data governance workshops defined common business rules. Reltio's tools cleaned, enriched, and standardized the data across systems.
The Results
The company now has a trusted 360° view of entities, reducing time spent reconciling data. Teams now use the same definitions, improving consistency. Duplicates were reduced, boosting data quality and report confidence. Onboarding is faster with clear ownership and full traceability.
Key Achievements
Tools We Work With (Based on Your Stack)
We work across the platforms your team already uses—then standardize the right mix for reliability, scale, and cost control.
Cloud Platforms
AWS
Microsoft Azure
Google Cloud
Salesforce
Cloud Platforms
AWS
Microsoft Azure
Google Cloud
Salesforce
Why Choose Complere for Data Engineering in UAE
Built for production. Built for trust. Built to scale.Production Reliability
Pipelines that run stable in production with monitoring and retries.
Built - In Quality
Quality gates stop bad data before it reaches dashboards.
Governed Delivery
Clear owners, controlled releases, and clean documentation.
Scalable Architecture
Add new sources without rewrites or performance drops.
Cost & Performance
Optimized jobs to reduce cloud spend and keep queries fast.

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