Business Process Automation Engineer

New
Poland, preferably in Kraków areaFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
PythonSQLArtificial IntelligenceJavascriptNosql

Requirements

  • Experience with programming languages (e.g., JavaScript, Python)
  • Experience in building and deploying scripts and applications
  • Experience with database systems (SQL, NoSQL, etc.)
  • Experience with data integration techniques
  • Experience working with business stakeholders to identify automation opportunities
  • Experience with AI-driven platforms like Make, N8N, or similar low-code/no-code automation tools
  • Strong analytical and problem-solving skills
  • Ability to communicate technical concepts to both technical and non-technical teams
  • Ability to work cross-functionally to achieve business objectives
  • Ability to manage projects, set priorities, and deliver results within deadlines
  • Familiarity with enterprise software solutions and integration strategies (Preferred)
  • Experience with cloud platforms, APIs, or web services (Preferred)
  • Background in business intelligence, data analytics, or process optimization (Preferred)

Responsibilities

  • Collaborate with business stakeholders to identify areas for automation, assess workflows, and understand business requirements to propose actionable automation solutions.
  • Develop and deploy automation workflows using tools such as Make and N8N.
  • Integrate custom scripts or software solutions as needed to enhance functionality.
  • Utilize AI tools to enhance automation capabilities, making processes smarter and more efficient while ensuring that business requirements are met.
  • Write and optimize code to support automation solutions.
  • Work with databases to manage data workflows and ensure seamless data integration across systems.
  • Collaborate with development team to extend the capabilities of product to unlock business potential.
  • Engage with internal teams to gather requirements, support automation efforts, and suggest improvements.
  • Manage and automate data flow, ensuring the integrity, security, and efficiency of business data systems.
  • Continuously track and monitor the performance of automation solutions, identifying areas for improvement.
  • Provide data-driven insights and regular reports to business leadership on the effectiveness of automation systems.
  • Create and maintain documentation for all automation processes, including design, workflows, and technical specifications.
  • Provide training to employees on automation tools and best practices.
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