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Lead Data Engineer

icon building Company : N-ix
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Lead Data Engineer


We are looking for a 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



  • 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



We offer*:



  • Flexible working format - remote, office-based or flexible

  • A competitive salary and good compensation package

  • Personalized career growth

  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

  • Active tech communities with regular knowledge sharing

  • Education reimbursement

  • Memorable anniversary presents

  • Corporate events and team buildings

  • Other location-specific benefits


*not applicable for freelancers


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