Data Engineer (Financial Analytics focus) at capital

<div> <div>We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.</div> <div>&nbsp;</div> <div>We are seeking a Data Engineer to join our Financial Analytics team developing and maintaining data pipelines, transformation logic, and data quality checks in a complex multi-jurisdiction financial data platform (PostgreSQL DWH + Airflow orchestration).&nbsp;</div> </div> Responsabilities • Implement enhancements and changes to existing reporting processes to improve accuracy, performance, and usability • Design and develop new reporting pipelines and datasets aligned with business requirements • Automate of data delivery processes • Identify and implementation of automated data quality checks • Resolve of issues related to data quality • Collaborate with business stakeholders to gather reporting requirements, clarify logic, and ensure outputs meet expectations Requirements • 4+ years in analytics engineering or similar data-focused roles • Advanced PostgreSQL: stored procedures and functions, complex CTEs, window functions, SCD2 patterns, query plan analysis and optimisation • Strong understanding of data warehouse architecture: staging, core, and data mart layers; incremental load patterns; slowly changing dimensions • Hands-on experience with Apache Airflow: DAG authoring, scheduling, dependency management, and failure handling • Proficiency with Git (GitLab or GitHub) and JIRA • Experience designing and evolving data warehouse architecture and data models • Track record of building robust, maintainable ELT/ETL pipelines in production • Experience implementing automated data quality checks • Domain fluency in financial and trading concepts, with the ability to understand requirements and clearly explain implemented logic to business stakeholders • High degree of autonomy: able to reverse-engineer undocumented systems, identify root causes, and take end-to-end ownership of pipelines and calculation logic • Comfortable using AI-assisted development tools (e.g., Claude, Copilot, Cursor) to improve productivity Nice to have • Hands-on experience with dbt, particularly in the context of migration or adoption initiatives • Exposure to Snowflake or strong interest in working with it as part of a target data architecture • Proficiency in Python for scripting, automation, and data pipeline tooling • Background in fintech or financial services in any capacity What you will get in return • Competitive compensation • A generous paid leave policy, supporting a healthy work–life balance • Two additional paid days per year dedicated to volunteering and giving back • Private medical insurance for your peace of mind • An additional flexible benefits budget, allowing you to tailor benefits to your needs • Flexible working mode • The opportunity to work from almost anywhere in the world for up to 30 days per year • Annual company-wide events held in locations around the globe • In-office massages to support wellbeing Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.