Data Engineer (#4629)

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

This role is ideal for someone at the beginning of their data engineering career who wants to grow in a supportive environment. We value curiosity, a learning mindset, and the ability to ask good questions. If you’re motivated to develop your skills and become a strong Data Engineer over time, we’d be happy to help you grow with us 🚀

Responsibilities

• Support the implementation of business logic in the Data Warehouse under the guidance of senior engineers
  
  
• Assist in translating business requirements into basic data models and transformations
  
  
• Help develop, maintain, and monitor ETL pipelines using Azure Data Factory
  
  
• Participate in data loading, validation, and basic query performance optimization
  
  
• Work closely with senior team members and customer stakeholders to understand requirements and data flows
  
  
• Contribute to documentation and follow best practices in data engineering and development
  
  
• Gradually propose improvements and ideas as experience grows
  
  

Requirements

• Up to 1,5 years of experience in Data Engineering
• Basic hands-on experience with SQL and strong willingness to work with it as a core skill
  
  
• Familiarity with Microsoft Azure or strong motivation to learn Azure-based data solutions
  
  
• Understanding of relational databases and fundamentals of data modeling
  
  
• Ability to write clear and maintainable SQL queries
  
  
• Basic experience with version control systems (e.g. Git)
  
  
• Interest in data warehousing and analytical systems
  
  
• Familiarity with Agile ways of working (through coursework, internships, or first commercial experience)
  
  
• Strong analytical thinking and eagerness to learn from more experienced colleagues
  
  

Nice to Have

• Exposure to Azure Data Factory, dbt, or similar ETL tools
  
  
• Basic knowledge of Databricks
  
  
• Understanding of Supply Chain & Logistics concepts
  
  
• Any experience working with SAP data (MM or related modules)