Everwest
Everwest
Everwest — Еуропа, ТМД елдері, Орталық Азия және Қытай бойынша бағыттарға қызмет көрсететін логистика және автомобильмен жүк тасымалдау компаниясы. 1996 жылы құрылған компания интермодальды тасымалдау, қоймалау, толық жүк тиелген жүк көлігімен (FTL) және ішінара жүк тиелген жүк көлігімен (LTL) тасымалдау қызметтерін ұсынады. Компанияның заманауи EURO 6 автопаркі фармацевтикалық және басқа да тез бұзылатын тауарларды, құны жоғары жүктерді және акциздік тауарларды тасымалдауға арналған мамандандырылған логистиканы қоса алғанда, шығарындылары төмен тасымалдау операцияларын қолдайды. Everwest автомобиль жасау, денсаулық сақтау, тамақ өнімдері мен сусындар секторларындағы клиенттерге де қызмет көрсетеді.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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