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Senior Data Engineer

The CodestPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano28 października 2026
Wykryte przez nas
Wykryte przez nas29 października 2026
Zarobki
Zarobki18 000 - 23 000 PLN

The Codest is an international software company dedicated to delivering high-quality IT solutions through a collaborative, people-first environment. We are currently seeking a Senior Data Engineer to join our team and contribute to a sophisticated banking platform for a leading financial group, focusing on complex data management and integration tasks.

Key responsibilities

  • Designing and implementing robust data processing pipelines, including transformation, validation, and mapping based on technical requirements.
  • Building and maintaining seamless integrations between diverse data sources and destinations such as APIs, SQL databases, S3 buckets, and SFTP servers.
  • Developing and optimizing ETL workflows to ensure efficient data synchronization across various systems and formats.
  • Conducting comprehensive testing and validation to guarantee data accuracy, integrity, and reliable delivery.
  • Providing post-deployment support and troubleshooting complex data integration issues in collaboration with business stakeholders.

Requirements

  • Over 5 years of professional experience in data engineering and working with ETL tools.
  • Advanced proficiency in SQL and commercial experience using Python for data processing and scripting.
  • Proven ability to design, develop, and maintain data pipelines across multiple environments.
  • Strong analytical skills with the ability to understand complex data flows and logical coding structures.
  • Excellent English communication skills, enabling effective collaboration within an international team.

What we offer

  • The opportunity to work on impactful, large-scale financial projects within a global team.
  • A supportive and collaborative work environment that prioritizes professional growth and knowledge sharing.
  • Engagement with modern data technologies and cloud-based services in a professional, goal-driven setting.

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