Senior Streaming Data Engineer

Join FxPro: a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Nassau, Dubai, and Yerevan. FxPro boasts a diverse workforce of over 600 employees representing 50 nationalities, making it an exciting and dynamic workplace. At FxPro, we see each team member as an integral part of our success story.

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

Interview steps

1. Recruiter screen (30 minutes)
2. Technical Interview (1 hour)
3. Final Interview with manager (30 minutes)

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