Data Platform Engineer (IoT)

Location: Beograd, Serbia

Company

hirify.global designs and builds end-to-end IoT solutions in-house, spanning hardware PCB designs, device firmware, Linux drivers, applications, server software, mobile apps, machine learning, and data science solutions.

What you will do

• Design, implement, operate, and continuously improve scalable cloud-native data platforms and pipelines on AWS.
• Develop and optimize large-scale data processing workloads with Apache Spark and Databricks.
• Build and maintain streaming data solutions using Apache Kafka and Amazon MSK.
• Manage repeatable cloud infrastructure through Infrastructure as Code, primarily with Terraform, and maintain CI/CD pipelines.
• Implement security, identity and access management, disaster recovery, backup, high availability, and business continuity strategies.
• Monitor platform health, performance, scalability, observability, and reliability while collaborating with data engineers, AI and analytics teams, and platform stakeholders.

Requirements

• 3+ years of experience in Data Engineering or Data Platform engineering roles.
• Strong knowledge of Apache Spark and experience with Databricks for large-scale data processing and analytics.
• Good knowledge of AWS services including S3, AWS IAM, EC2, RDS, and MSK.
• Understanding of cloud architecture, security, and operational best practices.
• Strong understanding of Apache Kafka concepts, architecture, and operations, plus experience designing and supporting event-driven and streaming data solutions.
• Proficiency in Terraform and a strong commitment to an Infrastructure as Code First approach.
• Experience developing and maintaining CI/CD pipelines using modern DevOps tools and practices.
• Solid proficiency in Python for automation, platform engineering, and data processing.
• Understanding of disaster recovery, backup strategies, high availability, and business continuity planning; fluent written and verbal English.

Nice to have

• Bachelor’s degree in computer software engineering or equivalent.
• Experience building SaaS applications.
• Knowledge of secure software development principles.
• Experience with Datadog for monitoring, observability, and alerting.
• Experience operating data platforms in production environments.
• Knowledge of platform monitoring, capacity planning, and operational excellence practices.

Culture & Benefits

• Work on IoT and energy-related products spanning connected devices, data acquisition, machine learning, and data science.
• Collaborate with engineering, AI, analytics, and platform specialists across discovery and delivery phases.
• Contribute to technology selection, reusable frameworks, standardized processes, and mentoring across software and data engineering teams.
• Operate infrastructure based on Databricks clusters and stay current with technology and industry developments.
• Values include continuous improvement, proactive feedback, collaboration, learning, and responsible decision-making.