Data Engineer (Databricks)

Quick Facts

• Role: Data Engineer / AI Engineer (Databricks)

• Focus: Azure-based intelligent document processing (IDP) and AI automation

• Work hours: Standard 9:00–17:00 (CET/CEST)

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

Description

Design and build scalable data processing solutions in the Azure ecosystem to enable AI-driven automation and intelligent document processing. Deliver OCR and multilingual document extraction for business processes like cash register report automation, receipt/invoice data extraction, and digitization of paper-based surveys and forms. Integrate extracted data into downstream enterprise systems while supporting AI and Machine Learning initiatives.

Responsibilities

• Design and develop scalable Azure data processing solutions

• Build and optimize ETL/ELT pipelines with 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 automation opportunities

• Participate in architecture discussions and contribute to DataOps best practices

• Support implementation of AI and Machine Learning initiatives

Requirements

• Proven commercial experience as a Data Engineer or AI Engineer

• Hands-on expertise with Azure Databricks, Azure Synapse Analytics, and Azure Data Lake

• Experience with OCR/IDP and Azure AI Document Intelligence

• Solid knowledge of NLP, text analytics, and processing multilingual documents

• Strong SQL skills, including SQL Server and BI stack (SSIS, SSRS, SSAS)

• Deep understanding of data modeling, data warehousing, data mining, and DataOps

• Exposure to machine learning projects and familiarity with AI-assisted development tools

• Excellent English communication skills

Benefits

Benefits not specified in the provided posting.