Everwest
Everwest
5,001 – 10,000 Employees
AutomotiveFood & BeverageHealthcare
Everwest is a logistics and road freight transportation company serving routes across Europe, the CIS, Central Asia, and China. Founded in 1996, the company provides intermodal transport, warehousing, Full-Truck-Load (FTL), and Less-than-Truck-Load (LTL) shipping. Its modern EURO 6 fleet supports lower-emission transport operations, including specialized logistics for pharmaceuticals and other perishable goods, high-value cargo, and excise goods. Everwest also serves customers in the automotive, healthcare, and food and beverage sectors.

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.

Description

  • 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

Requirements

  • 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

Benefits

  • 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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