Data Analyst

ITConnect Sp. z o.o.

Polska

Hybrid

PLN 120,000 - 180,000

Full time

13 days ago

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Job summary

ITConnect Sp. z o.o. is seeking an experienced Data Engineer to join our team in Poland. You will design and maintain data models, build resilient data pipelines, and own deliveries from requirements through production deployment.

You will work with SQL, Python, Snowflake, dbt, and Airflow, integrate data via APIs, and drive automation with CI/CD and automated testing. You should have strong data modeling skills and solid DevOps practices.

Qualifications

  • Minimum 4 years of experience in Data Engineering and Data Warehousing.
  • Strong hands-on experience with SQL and Python.
  • Proven experience with Snowflake, dbt, and Airflow.

Responsibilities

  • Gathering and analyzing business requirements.
  • Designing, developing, and maintaining data models and resilient data pipelines.
  • Taking ownership of deliveries from requirements through implementation, testing, and production deployment.
  • Building solutions using SQL, Python, Snowflake, dbt, and Airflow.
  • Integrating data through enterprise APIs and other data sources.
  • Driving automation and applying modern engineering practices, including CI/CD and automated testing.
  • Ensuring long-term maintainability, stability, and reliability of delivered solutions.

Skills

SQL
Python

Tools

Snowflake
dbt
Airflow

Job description

  • Gathering and analyzing business requirements.
  • Designing, developing, and maintaining data models and resilient data pipelines.
  • Taking ownership of deliveries from requirements through implementation, testing, and production deployment.
  • Building solutions using SQL, Python, Snowflake, dbt, and Airflow.
  • Integrating data through enterprise APIs and other data sources.
  • Driving automation and applying modern engineering practices, including CI/CD and automated testing.
  • Ensuring long-term maintainability, stability, and reliability of delivered solutions.
  • Minimum 4 years of experience in Data Engineering and Data Warehousing.
  • Strong hands-on experience with SQL and Python.
  • Proven experience with Snowflake, dbt, and Airflow.
  • Strong data modelling skills and experience designing scalable resilient data pipelines.
  • Experience with API integrations and modern data architectures.
  • Solid software engineering practices including Git, CI/CD, automated testing, and DevOps ways of working.
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