Senior Data Engineer

We have many years of experience in the field of logistics. We represent Western quality for the delivery of our customers with a team of international and experienced specialists. Experience, reliability, expertise, innovation, recognition, and trust - these core values are developed in all our processes. In the organization, we believe that people are our greatest strength. Here we foster a friendly company culture based on openness, engagement, and trust. If our values are in line with yours, we invite you to join the Everwest team.

We are currently seeking a talented: Senior Data Engineer

Are you a data engineering pro who loves to roll up your sleeves, build scalable solutions, and actually see your work make an impact? We’re on the lookout for a Data Engineer who’s both technically sharp and execution-focused — someone who enjoys solving complex data challenges and turning them into reliable, production-ready solutions.

• →Design and build robust, scalable data pipelines and data solutions that enable our teams to make smart, data-driven decisions.
• →Develop and maintain data solutions using Microsoft Fabric, Power BI, and other elements of the modern data stack.
• →Build and optimize ETL/ELT pipelines, data transformations, and data models.
• →Implement access controls, CI/CD pipelines, versioning, and data quality checks that make our data trustworthy and secure.
• →Set up and maintain data observability and monitoring to keep things running smoothly (and catch issues before they become problems).
• →Integrate data from various internal and external sources while ensuring reliability, performance, and scalability.
• →Collaborate with analysts, engineers, and business folks to turn messy data into meaningful insights.

• 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 (CI/CD, Git, etc.).
• Understanding of data governance, security, access management, and data quality.
• Experience with monitoring, troubleshooting, and optimizing data pipelines and workloads.
• A genuine passion for solving problems and building clean, efficient, scalable systems.
• You’re collaborative, hands-on, and always thinking a few steps ahead.

• Your work will directly shape the data platform used across the company.
• Zero red tape — we value clean architecture, smart decisions, and elegant execution.
• You'll be surrounded by a team that values craftsmanship, curiosity, and getting things done right