Senior Data Engineer

Key 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 datasets following bronze, silver, gold (medallion) or equivalent layering.
• 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.
• 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.

• 6+ years of experience in data engineering.
• Strong hands‑on experience with modern data platforms, including:
• Databricks, Snowflake, Big Query, 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.
• Highly preferred:
  Experience in mining, metals, heavy industry, oil & gas, utilities, or other large industrial environments.
• Highly valued:
  Exposure to IoT sensor data, time‑series workloads, and ERP (SAP) integration.
• Prior experience in the GCC or Saudi Arabia is an advantage.
• Understanding of data governance, lineage, classification, and access control.
• Awareness of data privacy, PII handling, and audit/regulatory requirements.
• Strong analytical thinking and structured problem‑solving.
• Ability to deliver in agile, fast‑paced environments.
• Clear communication with technical and business stakeholders.
• Preferred:
  Degree in Computer Science, Data Engineering, or related field.
• Preferred:
  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.