51 Global Data jobs in Saudi Arabia

Purpose

Design and run scalable big‑data pipelines to consolidate and govern master/reference data, integrating the MDM/RDM Hub with enterprise systems while ensuring accuracy, timeliness, security, and observability.

Key Responsibilities

• Design, develop, and implement integration pipelines to consolidate master/reference data from multiple sources into a central platform.
• Ensure smooth data flow across systems while preserving accuracy, consistency, and timeliness.
• Design models for master/reference data aligned with business needs; develop and maintain schemas/artifacts for large datasets.
• Monitor and apply data‑governance policies to sustain accuracy and continuous improvement.
• Operate and optimize the MDM hub for centralization and synchronization of master data (publishing, subscriptions, APIs).
• Implement privacy, security, and quality controls; enable auditability, change tracking, and duplication reduction.
• Manage the full data lifecycle (create, maintain, update, deprecate/purge) for master/reference domains.
• Control operations during changes with traceability and recovery; ensure continuity and rollback plans.
• Build observability and monitoring for health, performance, and quality of master/reference data systems.
• Use the big‑data stack (Spark, Airflow, Hive, Impala, Kudu, Iceberg) to implement and monitor pipelines and performance.
• Apply encryption and protection for sensitive data in accordance with the data‑classification policy; integrate metadata/lineage with CDGC.

Must‑Have Qualifications

• Bachelor's in CS/IS/Engineering (or equivalent).
• 4+ years building data platforms with strong PySpark/Scala, Airflow, SQL, and distributed data processing.
• Hands‑on experience with Hive/Impala, Parquet, table formats (e.g., Apache Iceberg), and performance tuning.
• Proficiency in CI/CD, Git, unit/integration testing, and production support on Linux.
• Experience integrating with MDM/RDM hubs and consuming/publishing via APIs or message streams.
• Experience connecting big‑data pipelines with IDMC (CDI/Mass Ingestion, CDQ, CDGC).
• Arabic is a must.

We are looking to hire a Big Data Administrator to be the cornerstone of our data ecosystem. You'll work closely with data engineers and scientists to ensure our data flows seamlessly from source to insight.

Qualifications:

• Saudi Nationality Only.
• Graduated from the Faculty of Computer Science or any relevant field.
• 1-3 years of experience as a Big Data Administrator, Cloudera Data Platform Administration, or similar role.
• Good understanding of the Cloudera data warehouse.
• Strong knowledge of RedHat, Ansible, and database fundamentals.
• A proactive, problem-solving mindset with the ability to work autonomously.
• Excellent communication skills and a true team player.
• Relevant certifications (e.g., Cloudera CCA, RedHat Admin1 & 2)

If interested, please send your updated CV to

Email subject:
Big Data Administrator

Responsibilities:

• Provide Big Data strategy consulting to enterprises and government organizations.
• Build and manage BI & Data Analytics Centers of Excellence to drive organizational data maturity.
• Advise on data governance, security, and compliance frameworks.
• Design and implement scalable Big Data solutions across industries.

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Minimum 7 years of experience in Big Data architecture, strategic planning, and consulting.
• Proficiency in Big Data technologies, ML, Data Modeling, ETL, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Strong leadership and advisory skills for enterprise-scale projects.

Job Title: Cloudera Big Data Engineer

Employment Type: Full-time

Role Overview

We are seeking a highly skilled
Cloudera Big Data Engineer
with
5+ years of hands-on experience
in building and managing large-scale
data pipelines
using
Apache NiFi
,
Apache Kafka
, and the
Cloudera Data Platform (CDP Private Cloud)
. The ideal candidate will have deep expertise in
batch
and
real-time streaming
architectures, and will play a critical role in designing, implementing, and optimizing robust ingestion and processing frameworks to power enterprise analytics and AI/ML initiatives.

Key Responsibilities

Data Pipeline Design & Development

• Design, implement, and maintain
  end-to-end data pipelines
  for both
  batch
  and
  real-time
  data ingestion using Apache NiFi and Kafka.
• Ingest data from heterogeneous sources (databases, files, APIs, message queues, IoT devices) into the Cloudera ecosystem.
• Build and manage
  Kafka topics, producers, and consumers
  to enable low-latency streaming data flows.
• Implement complex
  data routing, transformations, validation, and enrichment
  logic within NiFi flows and Kafka streams.

Platform Engineering & Integration

• Configure and manage data ingestion components within
  Cloudera Data Platform (CDP)
  , including NiFi, Kafka, HDFS, and Hive.
• Integrate pipelines with downstream layers such as Hive, Impala, Kudu, or analytical databases to enable analytics and AI workloads.
• Develop
  metadata-driven
  , reusable ingestion frameworks to accelerate new data source onboarding.

Optimization & Monitoring

• Optimize NiFi flows and Kafka configurations for
  high throughput, scalability, and fault tolerance
  .
• Implement comprehensive
  monitoring and alerting
  using Cloudera Manager, NiFi provenance, and Kafka metrics.
• Troubleshoot complex ingestion and streaming issues across environments (DEV, UAT, PROD).

Governance, Security & Compliance

• Ensure all pipelines adhere to
  data governance
  ,
  lineage
  , and
  security
  standards in line with
  PDPL
  ,
  NCA
  , and organizational frameworks.
• Apply best practices in
  access control
  , encryption, data quality checks, and auditing.

Collaboration & Enablement

• Work closely with
  data architects
  ,
  data modelers
  ,
  data scientists
  , and
  business analysts
  to deliver clean, reliable, and timely data.
• Document flows, create reusable templates, and conduct
  knowledge transfer sessions
  to upskill internal teams.

Required Qualifications

• Bachelor's degree in
  Computer Science
  ,
  Information Systems
  , or a related field (Master's is a plus).
• 5+ years
  of proven experience as a
  Data Engineer
  working on
  big data ecosystems
  , preferably on
  Cloudera CDP (Private Cloud)
  .
• Expert-level skills in:
• Apache NiFi
  : flow design, scheduling, controller services, provenance tracking, error handling, templates.
• Apache Kafka
  : topic creation, schema management, producer/consumer implementation, stream processing.
• Building and maintaining
  batch & streaming
  data pipelines in production-grade environments.
• Solid experience with
  HDFS
  ,
  Hive/Impala
  ,
  Linux
  , and shell scripting.
• Good understanding of
  data security
  ,
  lineage
  , and
  governance
  frameworks.
• Strong scripting skills (e.g., Python, Bash, Groovy) for automation and orchestration.
• Proficiency with
  Cloudera Manager
  or similar cluster management tools.

Preferred Skills

• Cloudera certifications (e.g.,
  CDP Data Engineer
  ,
  CDP Administrator
  ) are highly desirable.
• Experience in
  real-time analytics
  and
  IoT ingestion
  scenarios.
• Familiarity with
  CI/CD for data pipelines
  , Git, and DevOps practices.
• Domain experience in
  telecom
  ,
  financial services
  , or
  government
  is a plus.

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication skills (English; Arabic is a plus).
• Ability to work independently and in cross-functional teams.
• Proactive, structured, and delivery-focused in complex environments.

• Integrate Big Data solutions with enterprise IT systems and cloud platforms.
• Conduct open-source integration projects for data lakes, warehouses, and pipelines.
• Design and develop end-to-end data warehouse solutions and custom Big Data applications.
• Implement robust data pipelines and ETL workflows for real-time and batch processing.

• Bachelor's degree in IT, Computer Science, Software Engineering, or related field.
• Minimum 7 years of experience in Big Data integration and implementation.
• Technical expertise in Big Data frameworks, ML, Data Modeling, ETL tools, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Strong experience with system integration, APIs, and distributed computing environments.

• Recruit, screen, and place Big Data engineers, data analysts, and BI specialists.
• Design and deliver training programs for Big Data technologies and best practices.
• Provide Big Data manpower solutions tailored to project and organizational needs
• Recruit, screen, and place Big Data engineers, data analysts, and BI specialists.
• Design and deliver training programs for Big Data technologies and best practices.
• Provide Big Data manpower solutions tailored to project and organizational needs

Requirements

• Bachelor's degree in Business, IT, Computer Science, Software Engineering, or related field.
• Minimum 5 years of experience in Big Data staffing, resource management, and training.
• Familiarity with Big Data ecosystems, ML, Data Modeling, ETL, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Excellent talent acquisition and training program management skills.

• Provide ongoing maintenance and support for Big Data platforms and BI systems.
• Ensure scalability, reliability, and high availability of Big Data infrastructures.
• Troubleshoot Big Data issues including ETL pipelines, data modeling, and integration problems.
• Offer annual Big Data & BI support contracts for proactive system monitoring and upgrades.

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Minimum 5 years of experience in Big Data support and maintenance services.
• Hands-on knowledge in Big Data tools, ML, Data Modeling, ETL pipelines, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Strong troubleshooting and performance optimization expertise.

• Offer managed services contracts for Big Data solutions, ensuring availability and scalability.
• Implement Big Data infrastructure and management systems for large-scale operations.
• Provide data migration, transformation, and integration services across platforms.
• Optimize and manage Big Data storage solutions to reduce cost and improve performance.

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Minimum 5 years of experience in Big Data service management, infrastructure, and automation.
• Expertise in Big Data platforms, ML, ETL processes, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Strong experience with data monitoring, service-level agreements (SLAs), and automation tools.

• Conduct research and development of innovative Big Data analytics techniques.
• Explore advanced approaches for handling and analyzing large, complex datasets.
• Investigate advancements in distributed computing frameworks (e.g., Hadoop, Spark, Flink).
• Address nation-scale challenges by applying advanced Big Data methodologies.
• Continuously develop and deliver Big Data Proof of Concepts (PoCs) to demonstrate feasibility and value.

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Minimum 10 years of experience in Big Data R&D.
• Strong expertise in Big Data platforms, ML, Data Modeling, ETL, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
• Proven track record in data science research, distributed systems, and prototyping.