Senior Streaming Data Engineer
Confidential
Posted: February 19, 2026
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Quick Summary
As a Senior Streaming Data Engineer at FxPro, you will be responsible for building, operating, and scaling our on-premise data platform running on Linux virtual machines. You will be expected to design and implement data ingestion pipelines, ensure data quality, and collaborate with the development team to deliver high-quality results. This role requires expertise in Linux, data processing, and streaming data engineering.
Required Skills
Job Description
Join FxPro: a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Nassau, and Dubai. FxPro boasts a diverse workforce of over 500 employees representing 40 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
Recruiter screen (30 minutes)
Technical Interview (1 hour)
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