data engineer in fintech

Exness is an international fintech company and trading broker serving over a million clients globally. The company operates across 13 countries with more than 2,000 employees and develops technology 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 feedback;
• Improve data reliability, efficiency, and quality;
• Analyze existing processes and identify areas for enhancement;
• Describe entities and lineage in the data catalog;
• Write clear documentation of 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 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 big data stack, including Trino, Spark, Iceberg, and S3;
• Strong communication, collaboration, and problem-solving skills;
• Ability to adapt to change and accept constructive criticism;
• Nice to have: None specified.

• Competitive salary and annual performance bonus;
• Full relocation support for the employee and family, including flights, housing, visas, and legal assistance;
• Top-tier health insurance with full family coverage, including medical, dental, vision, and mental health services, plus 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, public holidays, and fully paid sick, maternity, and paternity leave;
• Employee appreciation program with branded gifts, birthday days off, and celebration budgets;
• 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;
• Discount program with cafes, gyms, and local services;
• Expat tax perks with up to 50% income tax exemption;
• Support with the naturalisation process for relocated employees.