Data Engineer

TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.

We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.

We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.

About the team

The Data Engineering team is the foundation on which the entire company operates. We build scalable infrastructure that transforms massive volumes of information into clear and trustworthy insights.

The role assumes a high degree of autonomy and independence, while also requiring close collaboration with colleagues, analysts, ML engineers, and developers.

Responsibilities

• Maintain and develop Airflow DAGs
• Optimize and develop SQL queries for data marts
• Maintain and evolve the data platform infrastructure
• Develop dbt models and migrate existing data marts to dbt
• Design, develop, and test ETL/ELT processes
• Run proof-of-concept projects, present results, and bring them to production
• Participate in architectural decision-making for the data platform
• Document technical parts of delivered solutions

What makes you the perfect fit

• 4–5 years of experience as a Data Engineer
• Strong proficiency in Python, including writing Airflow DAGs
• Strong SQL skills, including query optimization, reading query execution plans, and improving query performance
• Experience with AWS
• Hands-on experience with Apache Airflow and pipeline design principles
• Experience working with dbt
• Understanding of MPP (Massive Parallel Processing) databases and hands-on experience with systems such as Redshift, Greenplum, or Vertica
• Confident Linux user
• Ability to clearly formulate technical specifications and defend technical decisions
• Skilled at selecting the right technologies for specific tasks

Will be a plus

• Experience with Lakehouse architecture using Parquet, AWS Athena, and other AWS technologies
• Experience with monitoring systems (Prometheus + Grafana, Zabbix)
• Experience with Postgres, ClickHouse
• Experience with Apache NiFi
• Experience building and maintaining Docker containers

What we offer you

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups

Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!

TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.