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As a Senior Streaming Data Engineer, you will be responsible for building, operating, and scaling our on-premise data platform running on Linux virtual machines. You will also enable streaming data ingestion from multiple sources and ensure reliable, production-grade data availability for analytics and machine learning use cases.

Responsibilities

• Build and operate streaming ingestion pipelines from multiple sources into on-premise systems and databases hosted on Linux VMs
• Design, implement, and optimize end-to-end ETL/ELT pipelines
• Implement and maintain Kafka-based ingestion patterns, including topics, partitions, consumer groups, and reliability strategies
• Use Redis where appropriate for caching, buffering, and real-time processing patterns
• Maintain and optimize analytical storage solutions (e.g., ClickHouse or similar) used for BI and analytics workloads
• Ensure reliable data ingestion from relational databases (PostgreSQL, MS SQL)
• Implement monitoring, logging, alerting, and operational runbooks for pipelines and data systems
• Ensure secure access and auditability across services and databases
• Collaborate with BI, Analytics, and Data Science teams to deliver reliable datasets

Requirements

• Strong Linux administration skills, including troubleshooting and production operations
• Strong Python skills for building production-grade data services, automation, and testing
• Strong SQL skills (PostgreSQL and/or MS SQL), including performance tuning
• Hands-on experience building and operating ETL/ELT pipelines in production environments
• Hands-on experience with Kafka and streaming data systems in production environments
• Good understanding of core data engineering concepts such as  data quality, schema evolution, partitioning, and idempotency
• Experience working with analytical databases such as ClickHouse or similar technologies

Nice to have

• Experience with CDC tooling or patterns (e.g., Debezium or equivalent approaches)
• Familiarity with observability tools such as Prometheus, Grafana, ELK, or OpenSearch
• Experience working in security-constrained production environments 

Our benefits

• Excellent compensation package
• Medical insurance
• Provident fund
• In-house gym with a personal trainer
• Free daily lunch catering, snacks, and beverages
• Company discount card for various products & services
• 21 days of annual leave and 10 days of sick leave annually
• Shuttle bus service from Limassol
• Birthday gift
• Relocation bonus and visa/work permit support