Data and Automation Engineer

Position Summary

The Data & Automation Engineer is responsible for designing, developing, and maintaining scalable data solutions that integrate information from multiple enterprise platforms and transform it into actionable business insights.

This role focuses on data engineering, data integration, automation, analytics enablement, and AI-driven solutions. The ideal candidate should be comfortable working across the full data lifecycle, from data ingestion and transformation to reporting, automation, and AI integration.

This is primarily a Data Engineering role with Power BI reporting responsibilities, rather than a reporting-only or dashboard-focused position.

Key Responsibilities

Data Integration & Engineering

• Design, develop, and maintain ETL/ELT data pipelines.
• Integrate data from multiple enterprise systems including:
  • Salesforce
  • SharePoint
  • Supplier systems
  • Support platforms (tickets, Q&A, case management systems)
  • External APIs
• Develop scalable and maintainable data models.
• Ensure data quality, consistency, lineage, and traceability across systems.
• Work with structured and unstructured data sources.

Business Intelligence & Analytics

• Develop and maintain Power BI semantic models, dashboards, and reports.
• Create DAX measures and business logic to support operational reporting.
• Translate business requirements into meaningful KPIs and actionable insights.
• Automate report generation and data refresh processes.

Automation & AI

• Develop automation solutions using Python and workflow orchestration tools.
• Integrate AI services into business processes and analytics workflows.
• Develop solutions such as:
  • Automated insights
  • Ticket classification
  • Trend analysis
  • Knowledge retrieval
  • AI assistants and agent-based workflows
• Evaluate and implement modern AI technologies where appropriate.

Collaboration

• Work closely with support, integration, engineering, and business teams.
• Help define data strategies and identify automation opportunities.
• Promote best practices in data governance and solution design.

Required Technical Skills (Must Have)

Data Engineering

• Strong experience building ETL/ELT pipelines.
• Strong experience integrating data from multiple systems.
• Experience consuming and integrating REST APIs.
• Experience working with structured and unstructured data.
• Advanced SQL skills.

Power BI

• Data Modeling
• DAX
• Dashboard and report development
• Performance optimization

Programming

• Strong Python skills for:
  • Data processing
  • Automation
  • API integrations
  • Analytics workflows

General

• Ability to independently design and implement technical solutions.
• Strong troubleshooting and analytical skills.
• Experience working in enterprise environments.

Preferred Skills

Candidates with experience in one or more of the following areas are highly desirable:

• AI and Large Language Models (LLMs)
• Copilot Studio
• OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI platforms
• RAG (Retrieval Augmented Generation) solutions
• Agent-based automation
• Power Automate
• n8n
• Machine Learning applications
• Cloud-based data platforms

Equivalent technologies are welcome. Experience integrating business solutions is more important than experience with a specific vendor or cloud platform.

What We Are Looking For

The ideal candidate has experience:

• Building ETL/ELT pipelines
• Integrating data from APIs and multiple enterprise systems
• Using Python in production environments
• Creating Power BI semantic models and DAX measures
• Designing solutions end-to-end
• Automating business processes
• Applying AI technologies to real business scenarios

Please attach CV in English.

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