Data Engineer; Google Cloud Platform | BigQuery | Data Engineering

We are looking for a highly skilled Data Engineer to join our Data Engineering & Analytics team and play a key role in designing, building, and operating scalable enterprise-grade data engineering solutions on Google Cloud Platform (GCP).

In this role, you will be responsible for building reliable, secure, and analytics-ready datasets in Big Query
, while developing reusable and parameterized ingestion and transformation pipelines using Google-native services and Informatica IDMC (preferred).

You will work on large-scale enterprise data pipelines, orchestration frameworks, data transformation logic, performance optimization, and operational reliability to ensure high-quality, scalable, and cost-efficient data solutions.

• Design, build, and optimize scalable batch and real-time data pipelines on Google Cloud Platform (GCP).
• Develop reusable and parameterized ingestion pipelines using Big Query, GCS, Dataflow, Datastream, Cloud Run
  , and/or Informatica IDMC
  .
• Implement CDC (Change Data Capture) patterns, schema evolution, idempotent processing, and late-arriving data handling.
• Optimize ingestion strategies through partitioning, clustering, and efficient data loading methods.

• Profile source systems and assess data quality and patterns.
• Design source-to-target mappings
  , transformation logic, joins, aggregations, and business rules.
• Implement transformation pipelines using Big Query SQL
  , Dataflow
  , and/or IDMC
  .
• Build analytics-ready datasets for reporting and business consumption.

• Build and automate end-to-end workflows using Cloud Composer (Airflow) and/or Informatica Taskflows
  .
• Define scheduling logic, SLAs, job dependencies, retries, failure handling, and restartability strategies.
• Implement monitoring, logging, and alerting using Cloud Monitoring
  , Cloud Logging
  , and operational monitoring practices.

• Monitor data pipeline health, freshness, runtime performance, and anomalies.
• Troubleshoot production issues and support pipelines during off‑hours/weekends when required.
• Optimize Big Query performance through query tuning, partitioning, clustering, caching, and materialized views.
• Manage GCP cost optimization strategies for storage, compute, and query efficiency.

• 5+ years of experience as a Data Engineer
  , ETL Developer
  , or similar role.
• Strong hands‑on experience building production‑grade, scalable data pipelines
  .
• Proven experience working in enterprise‑scale data environments.

• Strong expertise in Google Cloud Platform (GCP), including:
• Big Query
• Google Cloud Storage (GCS)
• Dataflow
• Datastream
• Cloud Composer (Airflow)
• Cloud Monitoring
• IAM
• Strong proficiency in SQL (Big Query‑optimized).
• Strong understanding of data modeling for analytics
  .
• Experience with CI/CD
  , Git‑based version control
  , and Dev Ops practices.
• Experience with CDC pipelines
  , orchestration, and enterprise ETL frameworks.
• Experience with Informatica IDMC (CDI / Taskflows / Mass Ingestion) is highly preferred.

• Bachelor’s degree in Computer Science, Information Technology, Information Systems
  , or related field.

• Must be open to relocation to Jeddah, Saudi Arabia
  .