We’re looking for an experienced Backend Engineer to build, manage, and maintain a robust data infrastructure for collecting vast amounts of financial data.

AT LEAST 5 YEARS OF EXPERIENCE WORKING WITH THE FOLLOWING TECHNOLOGIES AND TOOLS:

Python
Google Cloud Platform (GCP)
CI/CD
PostgreSQL
Apache Airflow
GitLab
Docker
Kubernetes

• Implement and manage ETL processes using Python (Pandas).
• Optimize workflows within GCP (Composer, Cloud run …)
• Work with Cloud SQL and PostgreSQL to manage and query large datasets.
• Integrate new data sources and map to existing datasets.
• Develop APIs using FastAPI to enable data access and integration.
• Implement caching solutions using Redis or Memcached.
• Manage version control and CI/CD pipelines with GitLab.

Recruitment Process

• 15-min introductory call where we explain our product vision to see if we align with candidate’s interests.
• 30-min call with our engineer to explain the backend architecture and to get understanding of candidate’s experience.
• A paid 2-weeks test task to vet candidate’s skills.

Benefits

• Equity stake: Participate in the success of our platform.
• Remote first: Work from anywhere, anytime.
• Interesting work: Collaborate in developing cutting-edge financial technology that processes millions of data points, leverages data science and natural language processing (NLP) to extract valuable insights and keeps an eye on financial markets 24/7.

Job Type: Full-time
Pay: 52.015,08€ - 101.391,34€ per year

Application Question(s):

• Do you have At least 5 years of experience working with the following technologies and tools:

Python
Google Cloud Platform (GCP)
CI/CD
PostgreSQL
Apache Airflow
GitLab
Docker
Kubernetes