AI Engineer

Data Engineer / AI Engineer (Azure & IDP)

Location: 100% Remote

Working Hours: Standard 9:00 – 17:00 (CET/CEST)

Rate: 180 – 200 PLN/h + VAT (B2B)

Contract Duration: 12+ months (long-term initiative)

Client Sector: International Insurance

On behalf of our client, a global leader in the insurance sector, we are looking for an experienced Data Engineer / AI Engineer to join a long-term initiative. In this role, you will focus on delivering intelligent document processing (IDP) and AI-driven automation solutions within the Microsoft Azure ecosystem.

About the Project & Client Initiatives

You will design and build robust data pipelines, OCR workflows, and AI solutions supporting key business processes, including:

• OCR automation for cash register reports.

• Intelligent data extraction from receipts and invoices.

• Document data extraction and integration with downstream enterprise systems.

• Digitization and automation of paper-based customer surveys and multilingual forms.

• Combining OCR with text analytics and sentiment analysis.

• Supporting new AI-driven automation initiatives emerging in the project pipeline.

Key Responsibilities

• Design and develop scalable data processing solutions within the Azure ecosystem.

• Build and optimize ETL/ELT pipelines using Azure Databricks and Azure Synapse Analytics.

• Develop OCR-based solutions for automated document processing.

• Integrate extracted data with enterprise applications and reporting systems.

• Collaborate with business stakeholders to identify new automation opportunities.

• Participate in architecture discussions and contribute to DataOps best practices.

• Support the implementation of AI and Machine Learning initiatives.

Required Skills & Experience

• Data Engineering Expertise: Proven commercial experience as a Data Engineer or AI Engineer.

• Azure Cloud Ecosystem: Hands-on expertise with Azure Databricks, Azure Synapse Analytics, and Azure Data Lake.

• Document Processing (IDP/OCR): Experience with OCR, Intelligent Document Processing, or Azure AI Document Intelligence.

• AI & Text Analytics: Solid knowledge of Natural Language Processing (NLP), text analytics, and processing multilingual documents.

• SQL & Microsoft Stack: Strong SQL skills, including SQL Server and the traditional BI stack (SSIS, SSRS, SSAS).

• Data Fundamentals: Deep understanding of Data Modeling, Data Warehousing, Data Mining, and DataOps methodologies.

• Modern AI Practices: Exposure to Machine Learning projects and familiarity with AI-assisted development tools.

• Communication: Excellent English communication skills for working in an international environment.