Senior Data Engineer

Everwest
•Onsite

About The Position

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.

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 (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.

Responsibilities

  • 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.

Benefits

  • Monthly salary ranges from 4500 EUR to 6300 EUR gross.
  • Growth opportunities: professional and supportive team, leadership development programs.
  • The opportunity to improve by participating in both internal and external training;
  • Modern office: Modern and ergonomically equipped office, with recreation areas, outdoor terraces, and a gym.
  • The restaurant in which, exclusive prices for employees apply;
  • Recognition and awards: a day off in the month of the birthday, as well as gifts during the holidays or on the anniversary of working in the company.
  • Various events of the company, the election of the best employees of the company, as well as like-minded clubs operating on the initiative of employees.
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