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14 дней назад

Senior Data Engineer (ETL)

Формат работы
remote (только Greece)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Greece
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) (Cloud Data Engineering): Modernizing legacy data collection and database systems through cloud migrations, reusable datasets, and Python-based ETL/ELT solutions with an accent on data integration, validation, transformation, and database optimization. Focus on designing migration pipelines, modernizing SAS workflows, and ensuring reliable testing, deployment, and lifecycle management across regulated environments.

Location: Remote, based in Athens, Attica, Greece

Company

ICT services organization delivering solutions across AI, digital engineering, cloud, and cybersecurity, with operations in Greece, Luxembourg, and Belgium.

What you will do

  • Support migration from legacy data collection and database systems to modern cloud-based platforms.
  • Design, develop, and maintain ETL/ELT and data integration solutions.
  • Build Python-based data extraction, validation, transformation, and migration scripts.
  • Modernize SAS-based data processing and reporting workflows.
  • Integrate data from multiple sources into reusable datasets and optimize database structures for analytical and operational workloads.
  • Test, deploy, maintain, document, and continuously improve data pipelines in collaboration with stakeholders, engineers, architects, and platform specialists.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, or a related field.
  • At least six years of professional experience in data management and software development after completing university studies.
  • Advanced Python skills, including ETL/ELT design and implementation.
  • Strong SQL, relational database, data integration, validation, transformation, and migration experience.
  • Experience migrating legacy systems to cloud-based platforms and using version control systems such as Git.
  • English fluency at C1 level or higher according to the CEFR is required.

Nice to have

  • Knowledge of PySpark, Apache Spark, Databricks, Azure data services, or other cloud data platforms.
  • Experience with SAS modernization or migration to Azure-based platforms.
  • Familiarity with automated testing, CI/CD pipelines, and DevOps practices.
  • Exposure to international, multicultural, or regulated environments.

Culture & Benefits

  • Offsite remote work under a B2B contract.
  • Collaborative environment focused on innovation, technical leadership, and professional growth.
  • Work on transformative ICT solutions for clients across international markets.
  • CV submission in English is required.

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