The Data Engineer role involves supporting business logic implementation, assisting with ETL pipelines, and developing data models while collaborating with senior engineers.
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.
Responsibilities
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
- 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
- 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)
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Top Skills
Azure Data Factory
Databricks
Dbt
Git
Azure
SQL
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