Lead AI Data Software Engineer

New
E
EPAMAI and data engineering
Opportunity to work remotely within PolandFull-TimeLead
Salary not disclosed
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Job Details

Languages
Exceptional oral and written communication skills in English (B2+).
Experience
5+ years of experience in software development with Data Software Engineering technologies
Required Skills
AWSPythonArtificial IntelligenceGCPAzureData engineeringSparkDatabricks

Requirements

  • Have 5+ years of experience in software development with data software engineering technologies.
  • Have advanced knowledge of Python.
  • Have extensive experience with Spark and Databricks.
  • Have experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
  • Have experience and confidence using AI development tools such as Claude Code, GitHub Copilot, or Cursor.
  • Have experience managing small and mid-size teams using Agile methodology.
  • Be able to explain technological solutions in a simple, business-oriented way.
  • Have a bachelor’s degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
  • Have exceptional oral and written communication skills in English at B2+ level.
  • Agentic AI solution-building experience is a plus.
  • Experience with Kafka or other message queues, large data transfer applications or middleware, and production search technologies such as Solr, OpenSearch, or Lucene is preferred; Scala or Java knowledge is also a plus.

Responsibilities

  • Develop analytical solutions using cloud-native, data, and NoSQL technologies.
  • Develop cloud, on-premise, and hybrid solutions using data frameworks.
  • Drive AI adoption.
  • Work with product and engineering teams to evaluate requirements, features, and architecture.
  • Build partnerships with architects, technical leads, and other functional groups.
  • Analyze business problems and technical environments to design technical solutions.
  • Participate in code reviews and test solutions against best practices.
  • Build an engineering culture, mentor team members, and provide tools and motivation.
  • Write project documentation.
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