Senior Data Engineer (Financial Analytics focus)

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.
 
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). 

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

Department: Product & Engineering
Team: Dealing - Client Hedging