Data Engineer (AI)

Location: Hybrid setup with one day per week in the office; candidates located in Serbia, Hungary, or Poland are prioritized.

Company

hirify.global develops AI-driven SaaS solutions for pricing, revenue management, commercial excellence, and real-time analytics.

What you will do

• Design, build, and maintain data pipelines and ETL processes for structured and unstructured data.
• Build data foundations for AI systems, including pipelines for documents, transcripts, tickets, and other unstructured sources.
• Develop and maintain data warehouses, databases, data models, and scalable storage solutions.
• Optimize data infrastructure, monitoring, troubleshooting, data quality, and lineage for AI workloads.
• Translate business, architectural, and non-functional requirements into robust analytical solutions.
• Collaborate with product managers, engineers, and FMCG and commodity trading clients to deliver data engineering solutions.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Several years of experience as a Data Engineer or in a similar role.
• Strong Python and PySpark skills, advanced SQL, and relational database management experience.
• Experience with data warehousing, data modeling, ETL, Apache Spark, CI/CD, Azure DevOps, and Git.
• Hands-on experience building pipelines for AI or machine learning systems, including messy and unstructured data.
• Working English fluency and availability for the hybrid office setup.

Nice to have

• Experience with commodity trading, CPG, retail, or life sciences.
• Experience with business analytics, pricing, promotions, or commercial data.
• Experience with Airflow, Azure Data Factory, dbt, or similar orchestration tools.
• Startup experience and familiarity with Agile frameworks.
• Master’s degree in a relevant field.

Culture & Benefits

• Flexible working hours organized around core time.
• Flat, flexible organization with direct access to colleagues and international experts.
• Supportive environment for independent work, collaboration, and professional growth.
• Digital workspace and virtual team activities.
• Opportunity to work on a digital assistant for revenue management.