Data Enginner (Snowflake)

b2bnetwork; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Job summary

b2bnetwork in Warsaw, Poland, is looking for an experienced Data Engineer to join the Recovery Data Management team. You will translate business requirements into scalable data solutions and own deliveries end-to-end.

You'll design, develop, and maintain data models and resilient pipelines using SQL, Python, Snowflake, dbt and Airflow, with a focus on automation, CI/CD, and robust testing to ensure reliability and maintainability.

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.
• 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.

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

Snowflake

dbt

Airflow

Data Modeling

CI/CD

DevOps

Tools

Git

Job description

The consultant will join the Recovery Data Management team and support the ongoing development of data solutions within the Recovery domain. Working closely with business stakeholders and technology teams, the consultant will translate business requirements into scalable and reliable datasolutions.

Main tasks include:

• 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.

Must-have knowledge and experience

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.