Senior Data Engineer

🔥 1 minute ago

🇱🇹 Lithuania – Remote

💵 €4.5k - €6.3k / month

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Everwest

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1996

🚘 Automotive

🏥 Healthcare

🍽️ Food & Beverage

Automotive • Healthcare • Food & Beverage

Everwest is a leading logistics company providing road freight transportation services across Europe, CIS, Central Asia, and China. With over two decades of experience, Everwest specializes in intermodal transportation, warehouse services, and both Full-Truck-Load (FTL) and Less-than-Truck-Load (LTL) shipments. The company operates a modern fleet equipped with EURO 6 engines, offering sustainable and innovative logistics solutions with reduced CO2 emissions. Everwest is committed to providing reliable, sustainable transport services for a variety of industries, including cold-chain logistics for pharmaceuticals and perishable goods, high-value cargo, and excised goods.

📋 Description

• Design and build robust, scalable data pipelines and data solutions • Develop and maintain data solutions using Microsoft Fabric, Power BI, and other modern data stack elements • Build and optimize ETL/ELT pipelines, data transformations, and data models • Implement access controls, CI/CD pipelines, versioning, and data quality checks • Set up and maintain data observability and monitoring • Integrate data from internal and external sources while ensuring reliability, performance, and scalability • Collaborate with analysts, engineers, and business stakeholders to turn data into meaningful insights • Directly shape the company-wide data platform

🎯 Requirements

• Strong experience building and maintaining production-grade data pipelines and data solutions • Strong knowledge of SQL and experience working with large and complex datasets • Hands-on experience with ETL/ELT processes, data integration, data transformation, and data modeling • Experience with Microsoft Fabric, Power BI, and cloud data ecosystems • Good understanding of data warehouses, data lakes, and lakehouse architectures • Experience with data infrastructure, DevOps for data, and modern engineering workflows, including CI/CD and Git • Understanding of data governance, security, access management, and data quality • Experience with monitoring, troubleshooting, and optimizing data pipelines and workloads • Passion for solving problems and building clean, efficient, scalable systems • Collaborative, hands-on approach and forward-thinking mindset

🏖️ Benefits

• Professional and supportive team • Leadership development programs • Internal and external training opportunities • Modern and ergonomically equipped office • Recreation areas • Outdoor terraces • Gym • Employee discounts at the restaurant • Birthday-month day off • Holiday gifts • Work anniversary gifts • Company events • Employee recognition awards • Employee-initiated interest clubs