Data Engineer

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. The company provides expertise in cloud, data, AI/ML, embedded software, and IoT, driving digital transformation across various industries including finance, manufacturing, telecom, and healthcare.

• Lead and mentor a team of data engineers, providing technical direction and people leadership;
• Partner with business stakeholders and senior analysts to gather requirements and translate business KPIs and OKRs into data models and pipelines;
• Design, build, and maintain scalable data models for marketplace analytics, including web/app tracking and marketing use cases;
• Write and optimize complex SQL to transform and model data for analytics consumption;
• Build and troubleshoot code-based data pipelines using Python, Spark, and Airflow;
• Champion data quality by implementing and maintaining data testing practices;
• Evaluate and apply semantic layer concepts to improve data accessibility and consistency;
• Explore and adopt AI tooling to improve team productivity and data workflows;
• Act as a bridge between the Data Platform Engineering team and the business;
• Deliver product requirements on time while minimizing tech debt and redundancy;
• Maintain project status visibility and resolve risks early.

• Proven experience leading a data engineering team with genuine people leadership skills;
• Strong ownership mindset and a track record of reliable delivery;
• 5+ Years of hands-on experience in Data Engineering;
• Hands-on experience building code-based data pipelines with Python and Spark;
• Hands-on experience with Airflow for orchestration;
• Proficiency with Git for version control;
• Strong SQL skills with the ability to write and optimize complex queries;
• Solid data modeling skills for analytics and business intelligence;
• Excellent communication skills for stakeholder engagement;
• Familiarity with data testing practices and AI tooling;
• English B2/C1 or higher;
• Nice to have: Experience with marketplace analytics, web & app tracking, marketing/business metrics, semantic layers, and AWS.

• Competitive salary and compensation package;
• Personalized career growth;
• Professional development tools including mentorship, tech talks, and trainings;
• Active tech communities;
• Education reimbursement;
• Anniversary presents;
• Corporate events and team buildings;
• Other location-specific benefits.