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обновлено 26 дней назад

Senior Data Engineer (SQL/dbt)

4 000 - 5 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Lithuania
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 (SQL/dbt): Building scalable data pipelines, models, and governed datasets for GCS reporting, billing reconciliation, and operational planning with an accent on data quality, cross-system reconciliation, and commercial analytics. Focus on designing automated workflows, resolving inconsistent data sources, and enabling advanced analytics, automation, and future AI-driven use cases.

Location: Vilnius, Lithuania; hybrid work with at least 3 days per week in the office

Salary: €4,000–€5,000 gross per month, plus short-term and, where applicable, long-term incentives.

Company

hirify.global provides global financial market infrastructure and operates Global Connectivity Services supporting teams across New York, Stockholm, and Vilnius.

What you will do

  • Build, maintain, and improve data pipelines, models, and datasets for reporting, billing reconciliation, and operational planning.
  • Analyze customer behavior, product usage, and service trends to support Sales and Product decisions.
  • Lead billing and inventory reconciliation across internal and external data sources.
  • Create discrepancy reporting and alerting workflows.
  • Develop governed data foundations for advanced analytics, automation, and future AI use cases.
  • Collaborate with Product, Sales, Finance, and Data Center Operations to deliver scalable data solutions.

Requirements

  • Bachelor’s degree in Computer Science, Business, or a related field, or equivalent practical experience.
  • Professional experience in data engineering, analytics engineering, or a similar data-focused role.
  • Strong SQL skills and experience building structured data transformations and automated workflows.
  • Hands-on experience with dbt, QuickSight, Power BI, or similar data and analytics platforms.
  • Experience reconciling inconsistent or incomplete data from multiple systems.
  • Clear communication skills and the ability to work with technical and non-technical stakeholders across time zones.

Nice to have

  • Experience with AWS-based data platforms and related tooling.
  • Background in billing, inventory, compliance, or operational control processes.
  • Exposure to AI, automation, or data foundation initiatives.

Culture & Benefits

  • Hybrid work environment with regular office presence in Vilnius.
  • Competitive gross base salary with short-term incentives and applicable long-term equity incentives.
  • Rewards package supporting employees’ and their families’ financial, physical, and emotional well-being.
  • Structured career framework with transparent opportunities for progression.
  • Inclusive workplace with reasonable accommodation available throughout the hiring process.

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