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|Services|Data Engineering & Pipelines
Riyadh, Saudi Arabia

Data Engineering & Pipeline Solutions Built for Saudi Arabia

Your analytics and AI ambitions are only as strong as your data foundation. Adox Arabia builds scalable, secure, and PDPL-compliant data engineering infrastructure for enterprises across the Kingdom — so your teams always have accurate, timely data to work with.

PDPL & SDAIA Ready
Batch + Real-Time
Azure · AWS · GCP
Agile · Milestone-Based
The Challenge

Why Saudi Businesses Struggle With Their Data

Saudi Arabia's Vision 2030 is driving unprecedented business growth — new markets, new branches, new customers. But behind the ambition, a very common problem quietly holds organizations back: broken, unreliable, or non-existent data infrastructure.

⚠️

Data Scattered Across Siloed Systems

Your sales data is in one system, your inventory in another, your HR data in a spreadsheet, and your customer records in a third platform. Nobody has a single, accurate picture of the business.

🐢

Reports That Take Days to Produce

Finance teams spend hours every week manually extracting, merging, and formatting data. By the time the report is ready, it's already out of date — and decisions get made on stale numbers.

🚫

AI and BI Projects Stall at the Data Stage

Businesses invest in BI or AI projects — only to discover the data is too messy, inconsistent, or inaccessible to power them. Without a solid data foundation, these initiatives fail.

📋

PDPL Compliance Gaps Are a Legal Risk

Saudi Arabia's Personal Data Protection Law (PDPL) requires strict data governance, access controls, and audit trails. Organizations without proper architecture are exposed to regulatory risk.

⚡

No Real-Time Visibility Into Operations

Leaders make decisions based on yesterday's data at best. For logistics, manufacturing, and retail operating across KSA, that delay costs money every single day.

📈

Infrastructure That Can't Scale With Growth

A pipeline built with manual scripts works until the business doubles in size. Saudi enterprises need infrastructure designed for growth, not one that breaks when things get busy.

What We Build

Data Engineering Services in Saudi Arabia

From single pipelines to full enterprise platforms, we deliver the foundation your organization needs to thrive.

01

ETL / ELT Pipeline Development

We design and build automated pipelines that extract, transform, and load data into your analytics destination — with full error handling and alerting.

Apache AirflowdbtAWS GlueAzure Data FactoryInformatica
02

Data Warehouse Architecture

We design and build cloud-native data warehouses that organize your business data into fast, queryable structures — ready for BI and reporting.

SnowflakeAzure SynapseBigQueryAWS Redshift
03

Data Lake Design & Implementation

We build scalable data lakes that store raw structured and unstructured data — creating a single source of truth for data science and AI.

Azure Data LakeAWS S3Delta LakeApache Iceberg
04

Real-Time Data Streaming

We build real-time streaming architectures that process data the moment it's generated. Monitor transactions and detect fraud as it happens.

Apache KafkaAzure Event HubsSpark StreamingAWS Kinesis
05

Data Integration & API Connectivity

We connect your ERP, CRM, accounting software, and third-party APIs into a unified data environment. Whether SAP, Oracle, or custom systems.

REST APIsSAP IntegrationZATCA SystemsCDCWebhooks
06

Data Quality & Cleansing

We implement automated data quality frameworks that detect anomalies and enforce business rules — ensuring only clean data flows through.

Great Expectationsdbt TestsData ProfilingAutomated Alerts
07

Data Governance & PDPL Compliance

We implement governance frameworks that meet PDPL and SDAIA mandates — including classification, access control, and audit trails.

PDPL CompliantSDAIA AlignedRBACData LineageAudit Trails
08

Cloud Data Migration

We help Saudi enterprises migrate to cloud-native platforms — Azure, AWS, or GCP — with minimal disruption and full data integrity.

Azure Saudi NorthSTC CloudOn-Prem to CloudModernization
How We Work

Our 8-Step Data Engineering Delivery Process

Discover Business Needs

We start with your goals, not your data. Deep sessions with stakeholders to understand what decisions need to be made and what's in the way.

Assess Data Landscape

A thorough audit of your existing systems, sources, volumes, and quality. We map what you have and identify gaps before building.

Define Data Strategy

We design your data architecture — the blueprint for how data will flow, be stored, governed, and accessed. Scalable by design.

Build Data Pipelines

Our engineers build the automated pipelines — extraction, transformation, loading, and monitoring. Built to run reliably 24/7.

Design Data Models

We structure your data into optimized models — star schemas or data vaults — designed for the query patterns your analysts need.

Enable Analytics & BI

We connect your data layer to your BI tools, ensuring your visualizations are powered by clean, accurate, and freshly updated data.

Apply Advanced Analytics & AI

With a solid foundation in place, we layer in predictive models and ML pipelines — turning infrastructure into a competitive advantage.

Monitor & Optimize

Post-launch, we monitor pipeline health and performance — continuously improving as data volumes grow and requirements evolve.

Process Image

Engineering Excellence

Technology Stack

Tools & Technologies We Work With

We're platform-agnostic and select the right tools for your specific environment, data volumes, and budget.

⚡

Apache Spark

Big Data Processing

🌊

Apache Kafka

Real-Time Streaming

🔄

Apache Airflow

Pipeline Orchestration

🔧

dbt

Data Transformation

❄️

Snowflake

Cloud Data Warehouse

☁️

Azure Synapse

Analytics Platform

🔵

Google BigQuery

Serverless Warehouse

🏭

AWS Redshift

Enterprise Warehouse

🐍

Python

Pipeline Engineering

🗄️

PostgreSQL / SQL

Data Modeling

🔗

Azure Data Factory

ETL / ELT

📦

Delta Lake / Iceberg

Lakehouse Architecture

Data Governance & Compliance

PDPL-Compliant Data Engineering for Saudi Arabia

Saudi Arabia's Personal Data Protection Law (PDPL), enforced by SDAIA, requires strict data infrastructure design. We treat compliance as an engineering principle, not an afterthought.

Saudi Data Residency

We use Saudi-region infrastructure (Azure Saudi Arabia North, STC Cloud) ensuring personal data stays within borders.

Encryption by Default

All pipelines and storage are built with encryption enabled at rest and in transit, meeting SDAIA security requirements.

RBAC Controls

Granular access policies ensuring only authorized individuals can access specific data — preventing unauthorized violations.

Audit Trails

Visible audit logging and anomaly detection systems that allow you to respond to breaches within the 72-hour PDPL window.

PDPL Aligned
SDAIA Frameworks
Residency Ready
Compliance Framework
SAR 5M
Maximum fine for PDPL violations. Building compliant infrastructure is not optional.
Industries We Serve

Data Engineering for Every Saudi Industry

Each engagement is customized to the unique data challenges and regulatory landscape of your sector.

🏭
Manufacturing & Industrial
🛍️
Retail & E-commerce
🏥
Healthcare & Pharma
🏗️
Real Estate & Construction
💳
Banking & Financial Services
🚚
Logistics & Supply Chain
⚡
Energy & Utilities
🎓
Education & EdTech
🏛️
Government & Public Sector
📡
Telecom & Technology
🍽️
Food & Hospitality
🛡️
Insurance & Risk
Service Tech

Ready to Build a Data Foundation That Works?

Whether you're starting from scratch, migrating from legacy systems, or untangling a data mess — our team is ready to help.

Data Engineering FAQs

Everything You Want to Know About Data Engineering in Saudi Arabia

Request a Quote
Data engineering is the practice of designing and building the systems that move, transform, and store your data. Think of it as the plumbing of your data world. Without it, BI dashboards show incorrect numbers and AI projects fail before they start.
A data pipeline is an automated system that moves data from source systems (ERP, CRM, etc.), cleanses it, and delivers it to a destination like a data warehouse. It's like an airport for your data, routing information automatically where it needs to go.
A data warehouse stores structured, processed data ready for reporting. A data lake stores raw data (structured or unstructured) for data science and ML. Many organizations now use a 'lakehouse' architecture that combines both.
Yes. We design with PDPL compliance from the start, using Saudi-region cloud infrastructure (Azure Saudi North), encryption, RBAC, and audit trails to meet SDAIA's requirements.
Absolutely. ERP integration is a core challenge we solve, connecting to SAP S/4HANA, Oracle ERP, Microsoft Dynamics 365, Odoo, and more using secure APIs or direct connections.
A focused pipeline takes 4-6 weeks. A medium-scale warehouse project takes 2-4 months. Full enterprise platforms take 4-9 months depending on complexity and data volume.