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4 дня назад

Senior Data Engineer (ETL)

22 000 - 28 000PLN
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Engineer (ETL): Designing and building robust ETL pipelines for enabling data sharing across multiple applications in a distributed enterprise environment with an accent on data modeling, relational storage, and event-driven architectures. Focus on SQL Server optimization, Apache Kafka integration, API data flows, and scalable data architecture.

Location: Elastic hybrid from Gdynia / Gdańsk / Warszawa / Łódź (at least 2-3 days per week from the office)

Salary: 1100 - 1400 PLN/day on B2B

Company

Polish outsourcing firm with over 700 experts, long-term partner to a leading Nordic financial group emphasizing Scandinavian culture, work-life balance, and international teams.

What you will do

  • Design and implement ETL pipelines for data integration across enterprise systems
  • Build data modeling and structured solutions using relational databases
  • Develop SQL database programming and optimize SQL Server performance
  • Integrate Apache Kafka for event-driven data architectures
  • Work with APIs to ensure efficient data flow and consistency
  • Collaborate with teams to create scalable, maintainable data architecture

Requirements

  • Min. 4 years experience in data engineering and implementing data pipelines
  • Experience with data modeling and designing structured data solutions
  • Strong knowledge of relational databases, especially SQL Server
  • Proficiency in SQL and database programming (T-SQL, PL/SQL or similar)
  • Hands-on with building ETL pipelines and data processing workflows
  • Experience with Apache Kafka and event-driven architectures
  • Understanding of APIs, data architecture, and multi-technology environments
  • Strong communication skills in English

Nice to have

  • Experience with DB2
  • Familiarity with cloud data platforms like Snowflake
  • Work with object storage such as Amazon S3
  • Knowledge of modern data ecosystems and integration patterns

Culture & Benefits

  • Flexible work organization
  • International environment with daily English usage
  • Scandinavian culture focused on work-life balance and feedback
  • Company-financed training and professional development
  • Jit community with regular integration meetings

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