Senior Analytics Engineer

Описание вакансии

🚀 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

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