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Salary
≈ $56k – $93k per year (Estimated)
Location
In office (Poland)
Seniority
Senior · 4+ years exp

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 6, 2026. B2Bnetwork scores B on the Alion truth index.

Overview
Company
Impact
Profile match
B2Bnetwork (B2B.net S.A.) is a Warsaw-based IT outsourcing and software testing company that supplies IT engineers and whole teams to clients in data and analytics, cloud, cybersecurity, digital workplace and application development and maintenance. It operates from the Kopernik Office Buildings in Warsaw, runs QA, cloud, security and academy networks, organises ISTQB examinations, and places many specialists on projects for large banks, most visibly Nordea in Warsaw and Gdansk. Its postings cover Java and Python developers, test automation engineers, IT analysts, data engineers, solution architects, Scrum masters and project managers, largely on B2B contracts.

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.

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