Data Engineer in CTO (#1549)

Work type:
Technical Level:
Job Category:
Software Development
Technology Office

N-iX is an international company with Ukrainian roots that helps businesses across the globe develop successful software products. Founded in 2002, N-iX has come a long way and increased its presence in nine countries spanning Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.

Technology Office designs and executes industry-relevant inventions that allow organizations to realize exceptional business value from technology. We are looking for an energetic and passionate Data Engineer, who can bring their experience and knowledge to our Technology Office team. Now, we are enhancing our Data Community, which helps us to provide the best practices and solutions for our customers. 


  • Create and maintain optimal data pipeline architecture;
  • Collaborate with the team to decide on which tools and strategies to use within specific data integration scenarios;
  • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs;
  • Develop and maintain code and documentation for ETL and other data integration projects and procedures;
  • Monitor and anticipate trends in data engineering, and propose changes in alignment with organizational goals and needs;
  • Share knowledge with other teams on various data engineering or project related topics


  • Proven experience working as a Data Senior Engineer level+ 
  • At least 5 years experience in IT with a focus on Data Engineering.
  • Energetic team player who works well across boundaries and readily adapts to change and enjoys rapid development
  • Excellent analytical and problem-solving skills, with the ability to understand complex business requirements and translate them into practical data solutions.
  • Strong communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
  • Demonstrated ability to work in a collaborative team environment and manage multiple projects simultaneously.
  • Relevant certifications (e.g., AWS Certified Data Analytics Specialty, Microsoft Certified: Azure Data Engineer) are highly desirable.
  • Experience with Python 
  • Experience with various kinds of models including but not limited to C4, 4+1
  • Extensive knowledge of relational and non-relational databases, data warehouses, ETL/ELT processes, and data management tools.
  • Familiarity with cloud platforms, such as AWS, Azure, or Google Cloud, and their data services (e.g., S3, Redshift, BigQuery).
  • Conversational English level (B2+)

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

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