data engineer in fintech

Exness is a global trading broker and fintech company serving over a million clients worldwide. It combines technology, scale, and people-focused practices to improve trading.

• Assemble large, complex datasets that meet functional and non-functional business requirements;
• Prepare datasets from various sources for analysis and decision-making;
• Oversee data warehousing processes;
• Implement and support data model changes;
• Develop new integrations and data marts;
• Enhance the internal data platform by identifying issues, proposing features, and gathering team feedback;
• Improve data reliability, efficiency, and quality;
• Analyze existing processes and identify areas for enhancement;
• Describe entities and data lineage in the data catalog;
• Write concise documentation explaining data flows and dependencies;
• Communicate and collaborate with team members and stakeholders;
• Contribute to onboarding and mentoring less experienced engineers.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field;
• 5+ Years of hands-on experience in Data Engineering or related roles;
• Solid Python development skills for data services, automation, and platform tooling;
• Experience with production data pipelines and analytical workloads;
• Experience implementing data quality checks, monitoring, observability, and troubleshooting for production data pipelines;
• Deep knowledge of primary DWH design methodologies;
• Experience with analytical or transactional databases such as Vertica, PostgreSQL, ClickHouse, Doris, StarRocks, or similar systems;
• Experience with multi-terabyte or petabyte-scale analytical systems;
• Expert knowledge of SQL and relational algebra;
• Ability to analyze query execution plans and optimize large-scale analytical workloads;
• Experience designing and implementing ETL/ELT workflows, including dbt and orchestration platforms such as Apache Airflow or Prefect;
• Experience with software development lifecycle, Git workflows, CI/CD, and automated testing of data products;
• Experience designing and operating event-driven data pipelines using Kafka and related ecosystem tools;
• Familiarity with the big data stack, including trino, spark, iceberg, and s3.

• Competitive salary and annual performance bonus;
• Full relocation support for you and your family, including flights, housing, visas, and legal assistance;
• Top-tier health insurance with full family coverage, including medical, dental, vision, mental health, and life insurance;
• Unlimited learning opportunities, external courses, English lessons, and 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 with branded gifts, birthday days off, and celebration budgets for weddings, newborns, and milestones;
• Team trips and company-wide offsites;
• Employee share scheme;
• 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 of up to 50% income tax exemption;
• Support with the naturalisation process for relocated employees.