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1 день назад

Data Engineer

3 500 - 5 500
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Lithuania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Data Engineer (Data Science/ML): Develop and optimize ETL/ELT pipelines and improve data lake house infrastructure to ensure reliable, high-quality data for analytics and business decision-making with an accent on data architecture, automation, and collaboration. Focus on designing scalable data flows, ensuring data quality and lineage, and supporting smarter decision-making through integrated data systems.

Location: Hybrid in Lithuania (Vilnius or Kaunas) with 2 days per week onsite

Salary: 3500–5500 EUR/month

Company

hirify.global provides an IP address management platform enabling IP leasing, monetization, and management with a focus on sustainability and security.

What you will do

  • Develop and optimize ETL/ELT pipelines for data ingestion, transformation, and delivery
  • Improve structure, quality, and accessibility of the data lake house
  • Integrate data from multiple internal and external systems into unified datasets
  • Ensure data quality, consistency, and lineage across environments
  • Collaborate with data analysts, engineers, and specialists to deliver analytics-ready data
  • Automate workflows and improve monitoring for performance and transparency
  • Contribute to data architecture decisions and process improvements

Requirements

  • Location: Hybrid work model with 2 days per week in Vilnius or Kaunas, Lithuania
  • English: Fluent (C1–C2 level) required
  • 2+ years experience as Data Engineer or similar role
  • Strong proficiency in SQL and Python
  • Experience with data lakes and ETL/ELT orchestration tools (Azure Synapse Analytics, Azure Data Factory)
  • Understanding of cloud data platforms (Azure, AWS)

Nice to have

  • Experience with data governance, security, or access control
  • Familiarity with real-time data streaming (Kafka, Pub/Sub)
  • Interest in automation, ML pipelines, or AI-based data workflows

Culture & Benefits

  • Ownership of work and influence on data infrastructure
  • Collaborative, forward-thinking team valuing initiative and curiosity
  • Additional vacation days and health & accident insurance
  • Hybrid work model with office presence in Vilnius or Kaunas
  • Fast-growing role with direct business impact
  • Company events and agile, innovation-driven environment

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