Everwest
Everwest
Everwest Yevropa, MDH mamlakatlari, Markaziy Osiyo va Xitoy bo‘ylab yo‘nalishlarga xizmat ko‘rsatuvchi logistika va avtomobil transportida yuk tashish kompaniyasidir. 1996-yilda tashkil etilgan kompaniya intermodal tashish, ombor xizmatlari, to‘liq yuklangan yuk mashinasida (FTL) va qisman yuklangan yuk mashinasida (LTL) tashish xizmatlarini taqdim etadi. Uning zamonaviy EURO 6 avtoparki farmatsevtika mahsulotlari va boshqa tez buziladigan yuklar, yuqori qiymatli yuklar hamda aksiz tovarlari uchun maxsus logistika xizmatlarini ham o‘z ichiga olgan, chiqindilari kamroq bo‘lgan transport operatsiyalarini qo‘llab-quvvatlaydi. Everwest avtomobilsozlik, sog‘liqni saqlash, oziq-ovqat va ichimliklar sohalaridagi mijozlarga ham xizmat ko‘rsatadi.

Senior Data Engineer — Remote in Lithuania

Build scalable data pipelines and platforms supporting Everwest’s logistics operations. Develop Microsoft Fabric and Power BI solutions that enable dependable, data-informed decisions.

Tavsif

  • Create resilient, scalable data pipelines and data solutions
  • Build and maintain solutions with Microsoft Fabric, Power BI, and other modern data-stack technologies
  • Develop and improve ETL/ELT workflows, transformations, and data models
  • Establish access controls, CI/CD workflows, version control, and data-quality checks
  • Implement data observability and ongoing pipeline monitoring
  • Connect internal and external data sources while maintaining reliability, performance, and scalability
  • Partner with analysts, engineers, and business stakeholders to deliver actionable insights
  • Help define and advance Everwest’s company-wide data platform

Talablar

  • Demonstrated experience building and operating production-grade data pipelines and solutions
  • Advanced SQL skills and experience handling large, complex datasets
  • Practical experience with ETL/ELT, data integration, transformation, and data modeling
  • Experience using Microsoft Fabric, Power BI, and cloud-based data environments
  • Working knowledge of data warehouses, data lakes, and lakehouse architectures
  • Experience with data infrastructure, data DevOps, and modern engineering practices such as CI/CD and Git
  • Understanding of data governance, security, access management, and data quality
  • Experience monitoring, diagnosing, and optimizing data pipelines and workloads
  • A problem-solving mindset focused on clean, efficient, and scalable systems
  • Collaborative, hands-on working style with a forward-looking approach

Imtiyozlar

  • Supportive, professional team environment
  • Leadership development programs
  • Internal and external learning opportunities
  • Modern office designed for ergonomic working
  • Dedicated recreation areas
  • Outdoor terraces
  • On-site gym
  • Employee restaurant discounts
  • Day off during your birthday month
  • Holiday gifts
  • Work anniversary gifts
  • Company-organized events
  • Employee recognition awards
  • Clubs based on employee interests

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