Senior/Lead Data Engineer

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-iXโ€™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

Required languages

English B2 - Upper Intermediate
Ukrainian Native
Snowflake, Databricks, AWS, Microsoft Azure, Python, DBT, Spark
Published 9 September
17 views
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2 applications
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