Senior Analytics Engineer (Fintech)

🚀 Senior Analytics Engineer в Quantango

Quantango (Quantango Technologies LTD) — это финтех-стартап, основанный в 2024 году, который специализируется на разработке высокоскоростных торговых платформ и решений в сфере FX/CFD. Компания позиционирует себя как разработчика революционных инструментов, призванных изменить механику торговли.

Задачи:

- Design and implement analytics-ready data models using Fact/Dimension tables and semantic layers
- Transform raw datasets into clean, structured marts using dbt as the primary transformation tool
- Ensure absolute consistency and logic alignment between the Data Warehouse (BigQuery) and the BI layer (Metabase)
- Write, test, and optimize complex SQL queries for advanced analytical use cases and reporting
- Leverage Views and Materialized Views to improve performance and optimize BigQuery resource consumption
- Partner with stakeholders, especially the Risk Department, to translate business requirements into robust technical data models
- Support and extend automated data ingestion flows from various sources using dlt
- Manage and monitor the lifecycle of data assets and pipeline dependencies within Dagster
- Define and standardize core business metrics and KPIs at the code level to ensure a “Single Source of Truth”
- Implement automated data quality checks, validation rules, and proactive monitoring at the analytics layer
- Document business logic, data definitions, and KPI catalogs for company-wide data discovery

Требования:

- Expert SQL: Advanced proficiency in SQL, including window functions, complex joins, indexing, and OLAP query optimization; 4+ years
- Data Stack: Mandatory hands-on experience with dbt (models, tests, macros)
- Data Ingestion & Extraction: Practical experience with the dlt (data load tool) library or similar Python-based ingestion frameworks
- Orchestration: Experience managing data workflows with Dagster (preferred) or similar orchestrators such as Airflow or Prefect
- Data Warehousing: Solid understanding of OLTP vs. OLAP and data modeling techniques
- BI Development: Experience designing data sources and interactive dashboards in Metabase, Tableau, or similar tools
- Python: Proficiency in writing clean Python code for data manipulation and pipeline automation
- Engineering Best Practices: Proficiency with Git (Pull Requests, Code Review), CI/CD, and Docker
- Systematic Thinking: Strong attention to detail and the ability to build scalable, logical systems

Условия:

- Remote work schedule

📎 Как откликнуться?

- Вакансия: [Ссылка]
- Откликаться в Linkedin или Показать контакты

#data_analyst #senior #FinTech #удаленка