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.
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
Required Skills & Experience
Technical
• 6–10+ 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
Jones Lang LaSalle
American Red Cross
Hunt St
Leega
Compass.uol
CME
CME
CME