Data Engineer

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

As a Market Data Engineer in the Market Data team, you will design, build, and maintain high-performance financial data pipelines and platforms that power trading, risk, and analytics at Exness. You will work with raw and derived datasets across S3, Data Lake, and ClickHouse, ensuring scalability, reliability, and accessibility. The role includes integration with external data providers, development of financial reference data, and supporting production-ready market data services.

What you'll actually do

• Take end-to-end responsibility for market data pipelines in S3, Data Lake, and ClickHouse, delivering scalable architectures and high-quality data products used across trading and analytics.
• Design and optimise schemas, manage cluster performance, and support scaling processes.
• Support and maintain market data ETL services (e.g. Airflow), ensuring monitoring, incident response, and continuous improvement.
• Enhance mapping, maintain data quality, and add historical tracking for reference datasets.
• Build and maintain connectors to external providers and other sources to enrich financial reference data.
• Deliver new historical data marts for users (quants, analytics, risk teams) and improve discoverability.
• Optimise user queries, deploy ML solutions created based on market data to production
• Collaborate with stakeholders, provide and extend expertise in Exness financial data, maintain reliable dashboards (Grafana), and empower advanced analytics

Who we’re looking for

• Bachelor’s or Master’s degree in Computer Science, Software/Data Engineering, or related field
• 4+ years of experience as a Data Engineer or in a similar role.
• Proven experience working with large-scale, high-volume and low-latency datasets, ideally in fintech or trading.
• Strong knowledge of SQL and distributed databases (ClickHouse strongly preferred).
• Hands-on experience with object storage (S3/MinIO), Spark, Trino (nice to have) and Data Lake.
• Proficiency in Python for data processing and automation. Experience with other programming languages (Go, Rust, Java) is a plus.
• Experience with AWS ecosystem (e.g., S3, EC2, IAM, CloudWatch) and understanding of cloud-native data architectures.
• Experience with streaming and messaging systems (Kafka, RabbitMQ, or similar).
• Familiarity with APIs integration (REST, WebSocket, gRPC).
• Good understanding of data modelling, partitioning, compression, and query optimization.
• Experience with dashboarding/monitoring tools (Grafana, Prometheus).
• Knowledge of version control and CI/CD practices.

What we offer along the way

• Competitive salary and annual performance bonus
• Full relocation support for you and your family — flights, housing, visas, and legal assistance included
• Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind
• Unlimited learning opportunities: external courses, English lessons, career and leadership development
• Education allowance covering school and kindergarten fees
• 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave
• Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones
• “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar
• Employee share scheme — grow with us
• Branded MINI Cooper Countryman company car and private parking
• Free in-house sports clubs, Sanctum Club gym access, and jet skis
• Access to a Corporate doctor
• Exclusive discount program with cafes, gyms, and local services
• Expat tax perks: up to 50% income tax exemption
• Support with the naturalisation process for relocated employees

What your journey looks like

1. Intro call with Recruiter (30 minutes)
2. English check (if needed)
3. Tech interview & Live-coding (90 minutes)
4. Behavioural interview (60 minutes)

What it's like here

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