Senior Data Engineer

Join TradingView, the world’s #1 platform and social network for traders and investors — 100M+ trust us to explore market opportunities. Want to make an impact? Apply to shape the future of finance.

TradingView was founded in 2011 in New York and London with a mission to empower millions of people to achieve success, whatever that means to them. We're building a space where anyone can maximize their chances of succeeding through financial markets because they've got all the best tools and data at their fingertips. Our product portfolio includes best-in-class charts, versatile commercial libraries, a social network, and many more tools for retail and business audiences, trusted by fintech leaders such as Revolut, Binance, and CME Group.

Now, we're the world's largest financial analysis platform — used by 100 million people, in over 180 different countries. Even Antarctica. Every day, millions of users open TradingView for analysis, collaboration, and finding better trading opportunities. We foster a community-driven approach to financial education, welcoming everyone from seasoned traders to beginners.

To be on top of the game, we’re looking for passionate people to join our team, where product quality is everything. If you’re ready to do your best work, collaborate with cutting-edge technologies, and make an impact on millions every day, look no further.

As our user base continues to grow, so does the load on our service. That’s why we are looking for an experienced Data Engineer to contribute to the development of our data platform.

We maintain and develop infrastructure for data extraction, processing, loading, monitoring, and visualization of both product and financial data.

Our users include TradingView executives who require reports for decision-making, data analytics experts, ML engineers, and product teams. In fact, all product divisions at TradingView rely on the data we provide.

Our Data at a Glance

• 500GB+ of raw Clickstream data daily.
• 500GB+ of raw Operational Data daily.
• 500+ data marts.
• 10+ types of data sources.

We do not collect currency or stock quotes for charting or market trading event data.

This position requires a high degree of autonomy and independence, while also involving close collaboration with fellow Data Engineers, Analysts, ML Engineers, and Developers.

Responsibilities

• Maintain and develop Airflow DAGs.
• Optimize and develop SQL queries for data marts.
• Maintain and improve data platform infrastructure.
• Develop dbt models and migrate existing data marts to dbt.
• Design, develop, and test ETL/ELT processes.
• Conduct Proof of Concept (PoC) projects, present findings, and implement them in production.
• Participate in architectural decisions for the data platform.
• Document the technical aspects of projects.

What makes you the perfect fit

• 4-5+ years of experience as a Data Engineer.
• Proficiency in Python, especially in writing Airflow DAGs.
• Strong SQL skills (query optimization, query plan analysis, and performance tuning).
• Experience with Apache Airflow and data pipeline design principles.
• Experience working with dbt.
• Familiarity with MPP (Massive Parallel Processing) databases (e.g., Redshift, Greenplum, Vertica).
• Confident Linux user.
• Ability to clearly define technical specifications and advocate for technical decisions.
• Strong technical decision-making skills.

Nice to have

• Finance experience or knowledge of Trading.
• Knowledge of TradingView. We also love users who become teammates.
• Experience with AWS cloud infrastructure for building data platforms.
• Experience in Lakehouse architecture using Parquet, AWS Athena, and other AWS technologies.
• Experience with monitoring systems (e.g., Prometheus + Grafana, Zabbix).
• Experience with Postgres, ClickHouse.
• Experience working with Apache NiFi.
• Experience building and maintaining Docker containers.

About our perks and benefits

• Permanent contract.
• Flexible working hours. Start your day when it suits you best within our wide range of entry hours.
• Hybrid work policy. Enjoy the flexibility of combining remote and office work.
• Relocation package. Comprehensive support for a smooth transition for you and your family, including assistance with visa, transportation, and accommodation for our offices in Málaga and Tbilisi.
• Private health Insurance.
• Performance bonus.
• Work alongside experienced professionals and mentors, offering ongoing training and growth opportunities.
• Premium TradingView subscription.
• Annual team events. We love celebrating together.
• A comfortable, well-equipped workspace with exclusive perks like a gym and much more.

TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering an inclusive environment. Our success is driven by 500+ professionals from 40+ different nationalities, speaking nearly 20 languages across our global offices in London, New York, Malaga, and Tbilisi.

Ready to make a real impact on the financial world? Apply now and become part of a team that’s revolutionizing the way millions of people interact with the markets.