Senior/Lead Data Engineer (#3989)

N-iX is a global software development service company that helps businesses across the world develop successful software products. Founded in 2002, N-iX has come a long way, expanding its presence across 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. 

We are looking for a Senior/Lead Data Engineer who is passionate about building scalable, cloud-native data solutions and eager to grow into a broader architecture role. You will lead the technical delivery of modern data platform solutions while engaging with clients and internal stakeholders to design, implement, and optimize enterprise-grade data systems.

Responsibilities

• Lead end-to-end development and implementation of scalable data pipelines, data lakes, and cloud-native data platforms 
• Ensure performance, security, and reliability of data solutions through CI/CD, testing, and automation best practices
• Mentor and guide a team of engineers; review code, enforce standards, and foster knowledge sharing
• Participate in solution design with architects and senior stakeholders - contribute to data architecture, system integrations, and technology selection
• Translate business needs into data models, transformation logic, and orchestration workflows
• Gradually take on architecture ownership for projects and support pre-sales with technical scoping and effort estimation
• Work closely with business and technical stakeholders to clarify requirements, demonstrate value, and refine deliverables
• Participate in pre-sales activities: help shape proposals, provide technical insights, and create solution roadmaps
• Stay on top of modern data platform trends (e.g., Data Mesh, Lakehouse, real-time analytics, observability)
• Explore new tools and techniques - contribute to N-iX’s internal Data & Analytics accelerators and reference architectures

Requirements

• 5+ years of hands-on experience in data engineering
• Strong SQL, Python, and Spark skills; 
• Strong expertise in AWS or Azure and modern data platforms (e.g., Snowflake, Databricks)
• Knowledge of Airflow, dbt, Kafka, or similar tools preferred
• Proven experience building data lakes, lakehouses, data warehouses, and streaming pipelines
• Familiarity with architectural concepts like Data Mesh, Data Fabric, and cloud-native data architectures
• Experience leading delivery teams or mentoring other engineers
• Excellent verbal and written communication in English
• Willingness to travel for business (when needed) and to engage directly with clients