Hybrid Data Engineer – GCP, Real-Time Pipelines

IG KnowHow

Kraków

Hybrid

PLN 177,723 - 212,877

Full time

14 days+

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Benefits offered by this job

Tailored development programmes
Mentoring opportunities
Clear career progression
Extra time off for volunteering

Job summary

IG KnowHow is seeking a Senior Data Engineer based in Kraków, Poland. In this role, you will design and build robust data pipelines on GCP, ensuring data quality and integrity. You will work collaboratively within a hybrid model, balancing office presence and remote work.

The ideal candidate will have proven experience with production-grade data pipelines, strong SQL and Python skills, and familiarity with data governance in a regulated environment. Join us and leverage your expertise in a supportive and growth-focused environment.

We offer tailored development programs and mentoring opportunities to fuel your career progression.

Qualifications

  • Proven hands-on experience building and operating production-grade data pipelines on GCP.
  • Solid experience with Apache Kafka or equivalent streaming technologies.
  • Familiarity with modern transformation tooling, particularly dbt.
  • Experience implementing data contracts, lineage tracking, and observability tooling.
  • Understanding of data governance requirements and change control processes.

Responsibilities

  • Design and build robust batch and real-time data pipelines on GCP.
  • Own data quality within your delivery area and implement data contracts.
  • Develop in-house connectors and third-party integrations.
  • Contribute to engineering standards and best practices across the squad.
  • Support feature engineering and model data pipelines for Data Science.

Skills

Production-grade data pipelines
Strong SQL skills
Python
Apache Kafka
Data governance

Tools

GCP (Google Cloud Platform)
BigQuery
Cloud Composer/Airflow
dbt

Job description

IG KnowHow is seeking a Senior Data Engineer based in Kraków, Poland. In this role, you will design and build robust data pipelines on GCP, ensuring data quality and integrity. You will work collaboratively within a hybrid model, balancing office presence and remote work.

The ideal candidate will have proven experience with production-grade data pipelines, strong SQL and Python skills, and familiarity with data governance in a regulated environment. Join us and leverage your expertise in a supportive and growth-focused environment.

We offer tailored development programs and mentoring opportunities to fuel your career progression.

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