Data Engineer (Financial Analytics focus)

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.

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

Benefits

• Competitive compensation
• Generous paid leave policy
• Two additional paid days per year dedicated to volunteering and giving back
• Private medical insurance
• Additional flexible benefits budget
• Flexible working mode