Lead Data Engineer (AI)

Kraków - Poland

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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-iXs 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

Required Experience:

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 imp...

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-iXs 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

Required Experience: