Data Engineer – Hybrid (Novi Sad/Belgrade)

About the role

Synechron is looking for a skilled Data Engineer to design, build, and maintain scalable, secure, and reliable data platforms that enable analytics, reporting, and AI/ML initiatives across the enterprise. The position follows a hybrid working model based in Novi Sad or Belgrade.

Key responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Build and support modern data architectures, including data lakes, data warehouses, and real‑time streaming platforms.
• Ingest, integrate, process, transform, validate, and enrich data from internal and external sources while ensuring high data quality.
• Design and maintain data models that support analytics, reporting, and AI/ML use cases.
• Collaborate with Data Scientists and AI Engineers to provide curated datasets and support feature‑engineering initiatives.
• Develop batch and real‑time data processing solutions using distributed computing technologies.
• Implement data governance, security, privacy, and compliance controls aligned with enterprise standards.
• Optimize pipelines for performance, scalability, reliability, and cost efficiency.
• Implement monitoring, logging, alerting, and observability solutions and troubleshoot failures.
• Maintain data lineage, metadata, documentation, and audit artifacts.
• Support data migration, modernization, and cloud transformation initiatives.
• Work with DevOps teams to automate deployment processes and CI/CD pipelines for data workloads.

Required profile

• Proven experience in Data Engineering, Data Platform Engineering, or Big Data Engineering.
• Strong hands‑on experience designing and maintaining ETL/ELT pipelines and enterprise data architectures.
• Advanced knowledge of SQL and data modeling principles.
• Strong programming experience with Python and/or Scala.
• Experience with relational and NoSQL databases.
• Experience with data lakes, data warehouses, and large‑scale analytical platforms.

Required skills

• Python
• Scala
• SQL
• ETL/ELT pipeline development
• Data modeling
• Relational databases
• NoSQL databases
• Data lakes
• Data warehouses
• Big data platforms
• Distributed computing technologies
• Real‑time streaming platforms
• Data governance and security
• CI/CD and DevOps automation
• Monitoring, logging, and alerting