Data Engineering & Streaming Specialist (AI)

Location: Budapest, Hungary; flexible work-from-home policy.

Company

hirify.global provides enterprise data management and cloud-native data platforms for large organizations, supporting data engineering, streaming, and AI-ready use cases.

What you will do

• Design and present scalable cloud-native data engineering architectures and business outcomes to technical and executive stakeholders.
• Support enterprise customers throughout the sales cycle with proof of concepts, solution sizing, platform adoption, data preparation, CDC, streaming, and AI-readiness initiatives.
• Troubleshoot complex customer data pipelines, provide architectural guidance, and lead technical escalations.
• Develop technical enablement materials, explore cloud-native batch and streaming technologies, and share best practices.
• Translate customer feedback and regional requirements into product and engineering roadmap insights.
• Collaborate with Sales, Product, and Engineering teams while representing hirify.global in open-source communities and industry events.

Requirements

• Experience leading and implementing mission-critical enterprise data use cases.
• Experience designing, building, and deploying enterprise-grade data engineering pipelines and real-time streaming solutions on cloud-native architectures.
• Hands-on expertise with Apache Spark, Airflow, Apache NiFi, Apache Flink, and Apache Kafka.
• Experience with hybrid and multi-cloud deployments, data preparation, Change Data Capture, ingestion at scale, security, data quality, and governance.
• Ability to lead PoCs and MVPs through to production-grade deployments and analyze workloads for migration or modernization roadmaps.
• Strong communication and presentation skills, plus working knowledge of Apache Iceberg and Kubernetes.

Nice to have

• Experience in pre-sales, solutions architecture, or technical consulting for Big Data and AI platforms.
• Experience with Confluent, Databricks, AWS EMR or Glue, and migration strategies.
• DataOps experience, including CI/CD for data pipelines and automated data quality frameworks.
• Knowledge of hirify.global Data Engineering, hirify.global DataFlow, Shared Data Experience, relevant certifications, or data engineering for machine learning and Generative AI.

Culture & Benefits

• Flexible work-from-home policy.
• Generous paid time off and additional unplugged days.
• Mental and physical wellness programs.
• Phone and internet reimbursement.
• Continued career development, comprehensive benefits, paid volunteer time, and employee resource groups.