Senior Data Engineer Job Riyadh Riyadh Region Saudi Arabia,IT/Tech

CME is a technology partner with 40+ years of experience creating and modernizing systems, scaling AI, and enabling transformation that lasts. Our solutions power Fortune 500 brands and serve 80M+ daily users worldwide, with 90%+ client retention built on trust and delivery excellence. By uniting strategy, engineering, and adoption under one roof, we give enterprises the resilience and agility to reimagine business and lead the future.

Job Description

This is a remote position.

We are seeking a Senior Data Engineer to build and operate scalable data pipelines and data products on a modern cloud data platform. The role focuses on ingesting, transforming, and modeling large volumes of structured and semi‑structured data to enable analytics, reporting, and advanced data science use cases.

Responsibilities

Design, build, and maintain scalable batch and streaming data pipelines on cloud platforms
Implement ingestion from diverse sources, including ERP, operational systems, IoT, files, and APIs
Develop curated, analytics‑ready data sets following bronze/silver/gold (medallion) or equivalent layering
Implement partitioning, clustering, indexing, and storage optimization strategies
Manage schema evolution and backward compatibility
Optimize pipelines for cost, performance, and SLA compliance
Implement monitoring, alerting, and observability for data products
Apply CI/CD and infrastructure‑as‑code practices for data workloads
Work closely with data scientists, analysts, and business stakeholders to deliver fit‑for‑purpose data products
Document pipelines, data contracts, and lineage; ensure compliance with data governance standards

Requirements Required Skills & Experience Technical

6–10+ years of experience in data engineering
Strong hands‑on experience with modern data platforms, including
Proficiency in Python and SQL; experience with Scala or Java is a plus
Experience with orchestration tools (Airflow, Dagster, ADF, Step Functions)
Hands‑on experience with at least one major cloud (AWS, Azure, or GCP)
Familiarity with streaming technologies (Kafka, Kinesis, Event Hubs)
Solid grounding in data modeling, performance tuning, and cost optimization

Industry / Domain (Highly Preferred)

Experience in mining, metals, heavy industry, oil & gas, utilities, or other large industrial environments is a strong plus
Exposure to IoT / sensor data, time‑series workloads, and ERP (SAP) integration is highly valued
Prior experience in the GCC or Saudi Arabia is an advantage

Governance & Compliance Awareness

Understanding of data governance, lineage, classification, and access control
Awareness of data privacy, PII handling, and audit / regulatory requirements

Soft Skills

Strong analytical thinking and structured problem‑solving
Ability to deliver in agile, fast‑paced environments
Clear communication with technical and business stakeholders

Education & Certifications

Preferred:

Degree in Computer Science, Data Engineering, or related field
Cloud or data platform certifications (Databricks, Snowflake, AWS, Azure, GCP) are a strong advantage

Additional Requirements

Onsite presence in Riyadh required
Experience working in large enterprise or government environments
Ability to operate in a multi‑vendor delivery ecosystem

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