Senior Data & Analytics Engineer (3659) (Short-term)

About us:

N-iX is a software development service company that helps businesses across the globe develop successful software products. Founded in 2002 in Lviv, N-iX has come a long way and increased its presence in eight countries: Poland, Ukraine, Sweden, Bulgaria, Malta, the UK, the US, and Colombia. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies

About the project:

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. The company is now merging with a similar company in Canada and needs support on this way. As a Senior Data Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Requirements:

• 5+ years of experience in Data Engineering or Analytics Engineering roles
• Strong experience building and maintaining pipelines in BigQuery, Athena, Glue, and Airflow
• Advanced SQL skills and experience designing dimensional models (star/snowflake)
• Experience with AWS Cloud
• Solid Python skills, especially for data processing and workflow orchestration
• Familiarity with data quality tools like Great Expectations
• Understanding of data governance, privacy, and security principles
•  Experience working with large datasets and optimizing performance
• Proactive problem solver who enjoys building scalable, reliable solutions
• English – Upper-Intermediate+Great communication skills

Responsibilities:

• Collaborate with analysts, engineers, and stakeholders to understand data needs and deliver solutions
• Build and maintain robust data pipelines that deliver clean and timely data
• Organize and transform raw data into well-structured, scalable models
•  Ensure data quality and consistency through validation frameworks like Great Expectations
•  Work with cloud-based tools like Athena and Glue to manage datasets across different domains
• Help set and enforce data governance, security, and privacy standards
• Continuously improve the performance and reliability of data workflows
• Support the integration of modern cloud tools into the broader data platform

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