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N-iX

Senior Data Engineer (AI)

Reposted 21 Days Ago
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Remote
Hiring Remotely in Poland
Senior level
Remote
Hiring Remotely in Poland
Senior level
Lead the design and delivery of scalable cloud-native data platforms, build pipelines and lakehouses, mentor engineers, contribute to architecture, support pre-sales, and engage with stakeholders.
The summary above was generated by AI

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

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

Top Skills

Airflow
Azure
Ci/Cd
Data Lake
Data Warehouse
Databricks
Dbt
Kafka
Lakehouse
Python
Spark
SQL

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