Exness
Fintech
JavaDataEngineer(Streaming)
Neural analysis suggests this role is
optimal for Senior candidates.
“Java Data Engineer (Streaming) at Exness”
Industry & Context.
Root cause analysis
How You'll Work.
Team & Collaboration
Cross-functional teams
Process & Methodology
Agile
Full Job Description
At Exness, we are not just a leading trading broker—we’ve reimagined what it takes to be a leader. With 40M+ trades a day and 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for 1M+ clients worldwide. Recognised globally as a Best Place to Work, we’re a people-first company where long-term wins always matter more. As part of our team, you will shape the future of fintech with real technology, care, and purpose. Why this role matters We are looking for an experienced Java Data Engineer (Streaming) who will join our Technology Department to be part of a 250+ engineers team who create cutting-edge solutions and constantly raise the bar. This department focuses on developing products in the trading market, creating solutions from the moment of registration of clients to the moment of withdrawal of funds. Our technologies include solutions that support customer journeys (Identity Management, Billing Management), trading interfaces (FIX, REST, WS, Algo), back-office interfaces (Personal Area, Payment Solutions, Back Office), centres of expertise (QA, DevOps, Security) and technology platforms (Orchestration, internal PaaS / SaaS) and much more. Together with the team, you will construct, develop and maintain a scalable data platform for internal and external clients. This data platform is supposed to have data from various data sources reconciled and measured to prevent data losses and inconsistencies. The role is based in our Limassol office, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free. What you'll actually do Construct the architecture for data integration solutions and ensure it supports business requirements Develop new data solutions (ETLs, pipelines, integration services, batch and stream processing, enrichment services, etc.) Do Ops work: help the team with k8s tuning, GitLab CI/CD pipelines, Terraform, managing computing resources, et
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