Senior Data Engineer (AI) (#4768)

We are looking for a Senior 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
• 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
• 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

• 5-7 years of hands-on experience in data engineering
• Strong SQL, Python, and Spark skills
• Strong expertise in Azure and Databricks modern data platforms
• 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