Data Engineer

Requirements

• 2–5 years of experience in Data Engineering, Platform Engineering, or Backend Engineering with a data focus.
• Strong coding skills in Python and proficiency in Terraform and SQL.
• Practical knowledge of Infrastructure as Code (Terraform) and containerization tools (Docker, Kubernetes).
• Hands-on experience with cloud platforms (GCP is preferred, but AWS or Azure experience translates well).
• A solid understanding of data orchestration tools like Airflow (or Mage/Prefect/Dagster).
• Experience working in an event-driven architecture.
• An engineering mindset: you prioritize automation, testing, and reliability over manual fixes.

What you'll be doing

• Execute the migration of our governance tooling to DataHub on GKE (Kubernetes), giving us greater control and increase our governance capabilities.
• Build and improve self-service tooling and CI/CD pipelines so analysts and engineers can deploy data models independently.
• Enhance data observability and quality by implementing data contracts and monitoring tools to catch issues before they hit stakeholders.
• Develop tools and capabilities for efficient data collection, processing, and consumption within the organization.
• Optimize our GCP infrastructure (BigQuery, Pub/Sub, GCS, GKE) for cost and performance.

Perks and benefits

• Growth opportunities with regular feedback, performance reviews, and fair salary reviews.
• Opportunities to explore new challenges, develop skills, and shape your career.
• Support for professional growth, skill development, and internal advancement.
• Chance to work in a fast-growing fintech company with a focus on eliminating financial bureaucracy.