Senior Data Engineer

CME

Data Pipeline Engineering

• 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

Data Modeling & Storage

• Build dimensional, normalized, or data-vault models depending on use case
• Implement partitioning, clustering, indexing, and storage optimization strategies
• Manage schema evolution and backward compatibility

Performance, Reliability & DataOps

• 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

Collaboration & Governance

• 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+ years of experience in data engineering
• Strong hands-on experience with modern data platforms, including:
• Databricks, Snowflake, BigQuery, Synapse, or equivalent
• Spark (PySpark / Scala), Delta Lake, or Iceberg
• 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