Назад
Company hidden
ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 7 часов Π½Π°Π·Π°Π΄

Senior Data Engineer

4Β 000 - 5Β 000€
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Lithuania
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
/
TL;DR
Senior Data Engineer (SQL/dbt): Building and improving scalable data pipelines, models, and datasets for reporting, billing reconciliation, and operational planning with an accent on data quality, governance, and cross-system reconciliation. Focus on analyzing customer and product usage, creating discrepancy alerts, and enabling automation and future AI-driven use cases.

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

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

Company

hirify.global's Global Connectivity Services provides data capabilities supporting reporting, billing reconciliation, and operational planning.

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 provide insights for Sales and Product teams.
  • Lead billing and inventory reconciliation across internal and external data sources.
  • Create discrepancy reports and alerting workflows for inconsistent or incomplete data.
  • Develop trusted, governed data foundations for advanced analytics, automation, and future AI-driven use cases.
  • Collaborate with Product, Sales, Finance, and Data Center Operations to translate business needs into scalable data solutions.

Requirements

  • Bachelor's degree in Computer Science, Business, or a related field, or equivalent practical experience.
  • Proven 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 modern data and analytics tools such as dbt, QuickSight, Power BI, or similar platforms.
  • Experience working with multiple data systems and reconciling inconsistent or incomplete sources.
  • 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 work supporting future AI use cases.

Culture & Benefits

  • Hybrid work environment with regular in-office collaboration in Vilnius.
  • Rewards package supporting employees' and their families' financial, physical, and emotional well-being where applicable.
  • Career framework with transparent growth opportunities and room for progression within the salary band.
  • Inclusive workplace with reasonable accommodation throughout the hiring process.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’