Senior Data Engineer (Financial Analytics)

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). 

Responsibilities:

<li>Implement enhancements and changes to existing reporting processes to improve accuracy, performance, and usability</li>

<li>Design and develop new reporting pipelines and datasets aligned with business requirements</li>

<li>Automate of data delivery processes</li>

<li>Identify and implementation of automated data quality checks</li>

<li>Resolve of issues related to data quality</li>

<li>Collaborate with business stakeholders to gather reporting requirements, clarify logic, and ensure outputs meet expectations</li>

Requirements:

<li>4+ years in analytics engineering or similar data-focused roles</li>

<li>Advanced PostgreSQL: stored procedures and functions, complex CTEs, window functions, SCD2 patterns, query plan analysis and optimisation</li>

<li>Strong understanding of data warehouse architecture: staging, core, and data mart layers; incremental load patterns; slowly changing dimensions</li>

<li>Hands-on experience with Apache Airflow: DAG authoring, scheduling, dependency management, and failure handling</li>

<li>Proficiency with Git (GitLab or GitHub) and JIRA</li>

<li>Experience designing and evolving data warehouse architecture and data models</li>

<li>Track record of building robust, maintainable ELT/ETL pipelines in production</li>

<li>Experience implementing automated data quality checks</li>

<li>Domain fluency in financial and trading concepts, with the ability to understand requirements and clearly explain implemented logic to business stakeholders</li>

<li>High degree of autonomy: able to reverse-engineer undocumented systems, identify root causes, and take end-to-end ownership of pipelines and calculation logic</li>

<li>Comfortable using AI-assisted development tools (e.g., Claude, Copilot, Cursor) to improve productivity</li>

Nice to have:

<li>Hands-on experience with dbt, particularly in the context of migration or adoption initiatives</li>

<li>Exposure to Snowflake or strong interest in working with it as part of a target data architecture</li>

<li>Proficiency in Python for scripting, automation, and data pipeline tooling</li>

<li>Background in fintech or financial services in any capacity</li>

What you will get in return:

<li>Competitive compensation</li>

<li>A generous paid leave policy, supporting a healthy work–life balance</li>

<li>Two additional paid days per year dedicated to volunteering and giving back</li>

<li>Private medical insurance for your peace of mind</li>

<li>An additional flexible benefits budget, allowing you to tailor benefits to your needs</li>

<li>Flexible working mode</li>

<li>The opportunity to work from almost anywhere in the world for up to 30 days per year</li>

<li>Annual company-wide events held in locations around the globe</li>

<li>In-office massages to support wellbeing</li>