Senior Data Engineer – Snowflake / dbt / Airflow (f/m)

B2Bnetwork; Warszawa, Gdynia; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Long-term B2B contract

Hybrid work model (Warsaw, Gdynia, Gda

International tech/business teams

Job summary

B2Bnetwork is seeking an experienced Data Engineer to join our team and develop data solutions within the Recovery domain. You will translate business requirements into scalable, reliable data pipelines while collaborating with business stakeholders and technology teams.

The role offers hybrid work with offices in Warsaw, Gdynia, or Gdańsk, and a long-term B2B contract. The stack includes Snowflake, dbt, Airflow, Python and SQL for end-to-end data delivery.

Qualifications

• Minimum 4 years of experience in Data Engineering / Data Warehousing.
• Strong hands-on knowledge of SQL.
• Strong practical experience with Python.
• Commercial experience with Snowflake.
• Hands-on experience with dbt.
• Experience with Apache Airflow.
• Strong data modelling skills.
• Experience designing and developing scalable and resilient data pipelines.
• Experience with API integrations and modern data architectures.
• Solid software engineering practices, including Git, CI/CD, and automated testing.
• Experience working according to DevOps principles.

Responsibilities

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

Skills

SQL

Python

Snowflake

dbt

Apache Airflow

Git

CI/CD

Automated testing

DevOps

Data modelling

Tools

Snowflake

dbt

Airflow

Git

CI/CD

Job description

We are looking for an experienced Data Engineer to join a team responsible for developing data solutions within the Recovery domain. You will work closely with business stakeholders and technology teams, translating business requirements into scalable, stable, and reliable data solutions.

Responsibilities:

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

Requirements:

• Minimum 4 years of experience in Data Engineering / Data Warehousing.
• Strong hands‑on knowledge of SQL.
• Strong practical experience with Python.
• Commercial experience with Snowflake.
• Hands‑on experience with dbt.
• Experience with Apache Airflow.
• Strong data modelling skills.
• Experience designing and developing scalable and resilient data pipelines.
• Experience with API integrations and modern data architectures.
• Solid software engineering practices, including Git, CI/CD, and automated testing.
• Experience working according to DevOps principles.

Nice to have:

• Experience in the banking or financial sector.
• Experience working with large‑scale data and enterprise environments.
• Experience owning data solutions end‑to‑end – from business requirements to production deployment.

What we offer:

• Long‑term cooperation under a B2B contract.
• Opportunity to work on advanced Data Engineering solutions.
• Modern technology stack: Snowflake, dbt, Airflow, Python, SQL.
• Hybrid work model with offices available in Warsaw, Gdynia, or Gdańsk.
• Cooperation with international technology and business teams.