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

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Design, build, and maintain scalable batch and streaming data pipelines on cloud platforms

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Implement ingestion from diverse sources, including ERP, operational systems, IoT, files, and APIs

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Develop curated, analytics-ready data sets following bronze/silver/gold (medallion) or equivalent layering

Data Modeling & Storage

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Build dimensional, normalized, or data-vault models depending on use case

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Implement partitioning, clustering, indexing, and storage optimization strategies

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Manage schema evolution and backward compatibility

Performance, Reliability & DataOps

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Optimize pipelines for cost, performance, and SLA compliance

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Implement monitoring, alerting, and observability for data products

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Apply CI/CD and infrastructure-as-code practices for data workloads

Collaboration & Governance

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Work closely with data scientists, analysts, and business stakeholders to deliver fit-for-purpose data products

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

Requirements

Required Skills & Experience

Technical

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6–10+ years of experience in data engineering

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Strong hands-on experience with modern data platforms, including:

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Databricks, Snowflake, BigQuery, Synapse, or equivalent

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Spark (PySpark / Scala), Delta Lake, or Iceberg

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Proficiency in Python and SQL; experience with Scala or Java is a plus

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

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Hands-on experience with at least one major cloud (AWS, Azure, or GCP)

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Familiarity with streaming technologies (Kafka, Kinesis, Event Hubs)

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Solid grounding in data modeling, performance tuning, and cost optimization

Industry / Domain (Highly Preferred)

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Experience in mining, metals, heavy industry, oil & gas, utilities, or other large industrial environments is a strong plus

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Exposure to IoT / sensor data, time-series workloads, and ERP (SAP) integration is highly valued

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Prior experience in the GCC or Saudi Arabia is an advantage

Governance & Compliance Awareness

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Understanding of data governance, lineage, classification, and access control

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

Soft Skills

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Strong analytical thinking and structured problem-solving

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Ability to deliver in agile, fast-paced environments

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Clear communication with technical and business stakeholders

Education & Certifications

Preferred:

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Degree in Computer Science, Data Engineering, or related field

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Cloud or data platform certifications (Databricks, Snowflake, AWS, Azure, GCP) are a strong advantage

Additional Requirements

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Onsite presence in Riyadh required

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Experience working in large enterprise or government environments

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Ability to operate in a multi-vendor delivery ecosystem