Senior/Lead Data Engineer

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