Remote Data Engineer: BigQuery & GCP Analytics Pipelines

Square One Resources

Województwo mazowieckie

Remote

PLN 165,000 - 331,000

Full time

3 days ago
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Job summary

Square One Resources is seeking an experienced Data & Analytics Consultant to join the client’s cloud-based data team. The role covers end-to-end data flows, building pipelines in Python and SQL, and developing BigQuery semantic models and Power BI reports that feed into the BI roadmap.

You will work 100% remotely, starting mid-December, with workload shifting from 100% to 50% through the year, and a strong emphasis on maintainable code, documentation, and version control.

Qualifications

  • Proven experience as a Data/Analytics Engineer on cloud platforms.
  • Strong hands-on experience with GCP and BigQuery, building production pipelines in Python and SQL
  • Experience with Apache Airflow and external API integrations
  • Experience with Git-based workflows and CI/CD
  • Structured and self-driven with emphasis on documentation and knowledge sharing

Responsibilities

  • Building and maintaining pipelines in Python and SQL
  • Running orchestration in Apache Airflow with third-party API integrations
  • Deploying and troubleshooting containerised workloads on Cloud Run
  • Curated data models and semantic layers in BigQuery
  • Power BI models and reports that feed into the wider BI roadmap
  • Work across the whole data flow

Skills

GCP
BigQuery
Python
SQL
Apache Airflow
Docker
CI/CD
Documentation
Version control
Power BI

Tools

Apache Airflow
Cloud Run
Git
Power BI

Job description

Square One Resources is seeking an experienced Data & Analytics Consultant to join the client’s cloud-based data team. The role covers end-to-end data flows, building pipelines in Python and SQL, and developing BigQuery semantic models and Power BI reports that feed into the BI roadmap.

You will work 100% remotely, starting mid-December, with workload shifting from 100% to 50% through the year, and a strong emphasis on maintainable code, documentation, and version control.

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