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5 дней назад

Data Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
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
Data Engineer (AI): Designing and implementing robust ETL pipelines and AI-driven analytics solutions for a pan-European fintech platform with an accent on data integration, automation, and predictive modeling. Focus on optimizing data architecture, leveraging machine learning for real-time analysis, and ensuring high-quality data delivery across SQL and NoSQL systems.

Company

Viva.com is the first Tech Bank in Europe for businesses, providing a comprehensive integrated platform for omnichannel payments, banking, and financing services across 29 countries.

What you will do

  • Design and implement solutions for optimal extraction, transformation, and loading of data using SQL and Azure technologies.
  • Integrate AI-driven analytics tools into data pipelines to automate processing and generate predictive insights.
  • Leverage machine learning algorithms to optimize ETL processes and improve data accuracy.
  • Develop and maintain robust data pipeline architecture and systems.
  • Identify and implement internal process improvements to automate manual tasks and optimize data delivery.

Requirements

Location: Must be based in Marousi, Greece (On-site)

  • Bachelor's degree in an IT-related field.
  • Experience with AI/ML frameworks for developing and deploying machine learning models.
  • Expertise in both Relational (SQL Server, Oracle, MySQL) and NoSQL database systems.
  • Proven experience with Data Integration and ETL tools, such as SSIS or Azure Data Factory.
  • Proficiency in Data Visualization tools like PowerBI or Tableau.
  • Fluent in English, both oral and written.

Nice to have

  • Experience with Cloud Services (Azure, AWS) and Cloud Data Warehouses (Databricks, Microsoft Fabric).
  • Knowledge of streaming platforms like Apache Kafka or Azure EventHub.
  • Programming skills in Python or other languages.
  • Familiarity with agile methodologies and version control systems like Git.

Culture & Benefits

  • Competitive compensation package with an annual performance-based bonus.
  • Private health insurance for employees and their families.
  • Access to top-of-the-line tools and equipment.
  • Career development opportunities with regular feedback.
  • Employee Wellness Program featuring daily group sessions led by professional coaches.

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