Senior Data Engineer – Real-Time Data & AI on GCP

Talentedge

Kraków

On-site

PLN 200,000 - 350,000

Full time

37 hours ago
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Job summary

Talentedge in Kraków is seeking a Senior Data Engineer to design, build and operate production-grade data pipelines on a modern GCP-based platform. You will work across batch and real-time environments, crafting robust data solutions with Python and SQL and building trusted data for analytics and AI/ML initiatives.

The role emphasizes data quality, observability, and adherence to engineering standards, with opportunities to mentor peers and influence platform design within a global fintech

Qualifications

  • Proven track record building production data pipelines on GCP.
  • Strong SQL and Python skills.
  • Experience with Kafka or similar streaming systems.
  • Familiar with BigQuery, Airflow, and GCS.
  • Experience with dbt and data transformation.
  • Understanding of Medallion architecture.
  • Experience in regulated environments.

Responsibilities

  • Design and build scalable batch and real-time data pipelines.
  • Develop Kafka-based streams and Airflow workflows.
  • Create and optimize data models in BigQuery.
  • Maintain ingestion connectors and data integrations.
  • Implement data quality, observability, and SLOs.
  • Contribute to engineering standards and CI/CD practices.
  • Support data science and AI-ready data initiatives.
  • Mentor junior engineers and support team growth.

Skills

SQL
Python
GCP
Apache Kafka
BigQuery
Airflow/Cloud Composer
dbt
Medallion architecture
Data quality/observability
CI/CD

Tools

BigQuery
Airflow
Cloud Composer
GCS
Kafka
dbt
Cloud Run

Job description

Talentedge in Kraków is seeking a Senior Data Engineer to design, build and operate production-grade data pipelines on a modern GCP-based platform. You will work across batch and real-time environments, crafting robust data solutions with Python and SQL and building trusted data for analytics and AI/ML initiatives.

The role emphasizes data quality, observability, and adherence to engineering standards, with opportunities to mentor peers and influence platform design within a global fintech

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