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Programista baz danych

Open 17d

Summary

Senior Data Engineer builds and maintains cloud-based data pipelines and integrations for enterprise banking systems using Python, PySpark, SQL, and BigQuery on Google Cloud Platform.

Location: Hybrid work model: 3 days per week from our Warsaw office
Salary:120 pln/h -B2B

We are looking for an experienced Senior Data Engineer to join our team and contribute to the development of enterprise-scale data solutions within the banking and financial services sector. In this role, you will design, develop, and maintain high-quality data integration and processing solutions in a cloud environment while collaborating closely with business and technical stakeholders.

Key Responsibilities:

  • Design, develop, and maintain scalable data processing solutions using Python and PySpark.

  • Build and optimize data pipelines, integrations, and data exchange mechanisms between enterprise applications.

  • Develop and maintain solutions leveraging SQL and BigQuery.

  • Implement functional and non-functional requirements based on analytical and architectural documentation.

  • Ensure software quality through best development practices, testing, code reviews, and continuous improvement.

  • Work with cloud-native technologies, preferably within Google Cloud Platform (GCP).

  • Contribute to CI/CD processes and support automated deployment pipelines.

  • Collaborate with cross-functional teams to deliver reliable and high-quality solutions.

Requirements:

  • 3 years of experience as a Software Engineer / Developer in enterprise-scale projects.

  • Strong hands-on experience with Python and PySpark.

  • Solid understanding of software engineering best practices and high-quality software development.

  • Experience in system integration and data exchange between applications.

  • Excellent knowledge of SQL and practical experience working with BigQuery.

  • Experience designing and developing solutions in cloud environments, preferably Google Cloud Platform (GCP).

  • Proficiency in version control systems such as Git.

  • Experience with CI/CD tools and deployment automation processes.

  • Ability to analyze analytical and architectural documentation and translate business requirements into scalable technical solutions.

  • Mandatory professional experience in the banking or financial services sector.

  • Good understanding of financial data domains, enterprise data environments, and industry-specific requirements.

  • Strong communication, teamwork, ownership, and problem-solving skills.

  • Quality-oriented mindset with the ability to work independently.

Offer:

  • Multisport Card
    Life insurance
    Private healthcare
    PowerYou platform

See also

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