Senior Data Engineer

Nasze wymagania:
Strong expertise in building and maintaining data pipelines and production-grade data workflows
Solid knowledge of dbt, including developing models, tests, and documentation
Experience working with cloud environments, preferably GCP, and data warehouses such as BigQuery
Proficiency in SQL and Python, with the ability to write clean, scalable, and maintainable code
Hands-on experience creating and operating web scrapers and integrating diverse external data sources
Practical understanding of backend development, ideally with FastAPI or similar frameworks
Ability to analyze data quality issues, debug pipeline failures, and improve overall system reliability
Strong architectural awareness and the ability to coordinate work across interconnected systems and teams

Mile widziane:
Familiarity with containerization (Docker) and workflow orchestration tools (Airflow or similar) is beneficial
Experience in algorithm development or valuation models within data-driven environments is a plus

O projekcie:
Cyrantos is partnering with a leading asset management firm to find a highly experienced Senior Data Engineer to join their team. This is a remote position with a start date as soon as the candidate successfully completes the interview process.
About the Role:
As a Senior Data Engineer, you will join our client’s data and engineering team to design, maintain, and evolve the core data platform that supports key investment and analytical workflows. You will work in a collaborative, non-corporate environment where experienced specialists share knowledge and support your professional growth. Your responsibilities will include building and maintaining web scrapers that feed data from GCP into BigQuery, improving and extending dbt pipelines to strengthen data quality, and enhancing internal algorithms and valuation models. You will also maintain and develop the FastAPI backend that integrates with the broader platform. A strong understanding of the overall system architecture and the ability to coordinate work across teams will be essential.

Zakres obowiązków:
Build and maintain robust web scrapers that extract and process data from GCP into BigQuery
Develop, improve, and optimize dbt models, tests, and pipelines to ensure high data quality, lineage clarity, and reliable transformations
Enhance and refine internal algorithms and valuation models supporting analytical and investment workflows
Maintain, extend, and troubleshoot the FastAPI backend that powers the data platform
Understand the end-to-end data architecture and coordinate work across interconnected systems and teams
Collaborate closely with internal stakeholders to deliver accurate, well-structured, and production-ready data solutions