Senior Data Engineer

About Us 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. 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 • 6–10+ 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