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Senior Data Engineer

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Summary

Senior Data Engineer designing, building, and operating scalable batch and real-time data pipelines on GCP (BigQuery, Cloud Composer/Airflow, GCS, Cloud Run), with Kafka-based ingestion, dbt transformations, and Medallion Architecture. Also supports ML/AI data needs, data quality, observability, and governance in a regulated environment.

We are looking for a Senior Data Engineer to join a team working on a modern data platform in a GCP environment.

Your responsibilities:

  • designing, building and operating scalable data pipelines on GCP, including both batch and real-time processing,
  • working with BigQuery, Cloud Composer/Airflow, GCS and Cloud Run,
  • developing and maintaining data ingestion processes, including Apache Kafka-based solutions,
  • developing data transformations and working with dbt,
  • ensuring data quality, monitoring, observability, lineage and pipeline reliability,
  • contributing to Medallion Architecture (Bronze/Silver/Gold),
  • supporting Data Science teams with data pipelines for ML and AI workloads,
  • participating in code reviews and contributing to engineering standards and best practices,
  • working with data governance requirements, access control, auditability and change management.

Requirements:

  • several years of hands-on experience building and operating production-grade data pipelines,
  • strong practical knowledge of GCP, particularly BigQuery, Cloud Composer/Airflow, GCS and Cloud Run,
  • strong SQL and Python skills,
  • experience with Apache Kafka or other streaming technologies,
  • experience with dbt and modern data transformation approaches,
  • understanding of Medallion Architecture,
  • experience with data quality, data contracts, lineage, observability and SLA/SLO monitoring,
  • understanding of data governance and working with data in a regulated environment,
  • strong problem-solving skills and the ability to work independently on complex, scalable solutions.

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