Senior Data Engineer

This is a fully remote position, open to applicants in Saudi Arabia.

📋 Description

• Construct and manage scalable data pipelines and data products on a contemporary cloud data platform.

• Design, develop, and sustain scalable batch and streaming data pipelines within cloud ecosystems.

• Facilitate data ingestion from various sources, such as ERP, operational systems, IoT, files, and APIs.

• Create curated, analytics-ready datasets adhering to bronze/silver/gold (medallion) or similar layering methodologies.

• Develop dimensional, normalized, or data-vault models tailored to specific use cases.

• Employ partitioning, clustering, indexing, and strategies for storage optimization.

• Oversee schema evolution and ensure backward compatibility.

• Enhance pipelines for cost-effectiveness, performance, and adherence to SLA requirements.

• Implement monitoring, alerting, and observability measures for data products.

• Utilize CI/CD and infrastructure-as-code methodologies for data workloads.

• Collaborate closely with data scientists, analysts, and business stakeholders to create tailored data products.

• Document data pipelines, data contracts, and lineage; ensure compliance with data governance standards.

⛳️ Requirements

• 6–10+ years of experience in the field of data engineering.

• Extensive hands-on experience with modern data platforms, including:

• ◦ Databricks, Snowflake, BigQuery, Synapse, or similar.

• ◦ Spark (PySpark / Scala), Delta Lake, or Iceberg.

• Proficient in Python and SQL; familiarity with Scala or Java is an advantage.

• Experience with orchestration tools (Airflow, Dagster, ADF, Step Functions).

• Practical experience with at least one major cloud provider (AWS, Azure, or GCP).

• Knowledge of streaming technologies (Kafka, Kinesis, Event Hubs).

• Strong foundation in data modeling, performance optimization, and cost management.

• Experience in sectors such as mining, metals, heavy industry, oil & gas, utilities, or other large industrial environments is highly desirable.

• Familiarity with IoT/sensor data, time-series workloads, and ERP (SAP) integration is greatly valued.

• Previous experience in the GCC or Saudi Arabia is beneficial.

• Understanding of data governance, lineage, classification, and access controls.

• Awareness of data privacy, handling of PII, and audit/regulatory requirements.

• Strong analytical skills and structured problem-solving abilities.

• Capability to perform effectively in agile, fast-paced settings.

• Clear communication skills with both technical and business stakeholders.

🏝️ Benefits

• Health insurance.

• 401(k) matching.

• Flexible work hours.

• Paid time off.

• Professional development opportunities.