Remote Senior Data Engineer — Azure & AI Pipelines

Gravity 9 Solutions Ltd

Kraków

Remote

PLN 180,000 - 300,000

Full time

6 days ago
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Job summary

gravity9 is seeking a highly motivated Senior Data Engineer to join our Product Development team within the Digital Practice. You will build data platforms and AI-enabled solutions on Microsoft Azure, delivering analytics, decision support, and autonomous operations for clients.

This fully remote role requires residence in Poland. You will mentor others, lead data pipeline design, ensure governance and security, and collaborate with engineers, data scientists and designers to lift client

Qualifications

  • 7+ years in data engineering or software development
  • 3+ years hands-on with Azure Databricks or Spark
  • Strong Python, PySpark and SQL skills
  • Experience with CI/CD and infrastructure-as-code
  • Experience designing end-to-end data solutions and data governance

Responsibilities

  • Deliver agile backlog items and meet acceptance criteria
  • Design and operate ingestion and orchestration pipelines in Azure Data Factory
  • Develop ETL/ELT in Azure Databricks for analytics and AI
  • Lead code reviews and set engineering standards
  • Shape data architecture decisions and semantic models for AI
  • Apply data governance, security and residency controls
  • Mentor team members and communicate progress

Skills

Python
PySpark
SQL
Data modelling
APIs integration
AI awareness
Mentoring
Leadership

Education

Bachelor’s degree in computer science, Engineering or related field

Tools

Azure Data Factory
Azure Databricks
Azure Data Lake Storage
Azure SQL
Delta Lake
Terraform
Azure DevOps
GitHub
ODBC/JDBC

Job description

gravity9 is seeking a highly motivated Senior Data Engineer to join our Product Development team within the Digital Practice. You will build data platforms and AI-enabled solutions on Microsoft Azure, delivering analytics, decision support, and autonomous operations for clients.

This fully remote role requires residence in Poland. You will mentor others, lead data pipeline design, ensure governance and security, and collaborate with engineers, data scientists and designers to lift client

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