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 teamHi! We're Datafeeds | Integration team. Right now we're growing our team and looking for a Middle Data Integration Engineer who will take ownership of data quality end-to-end. If you care about data as a product and want to work where quality actually matters, we'd love to talk.
ResponsibilitiesDefine data quality requirements and metrics aligned with business and engineering needs
Participate in the design of data schemas and data models
Onboard and integrate new data sources
Maintain and evolve data documentation
Monitor data quality in production - alerts, dashboards, and data SLA tracking
Investigate and resolve data incidents across the full data lifecycle
Collaborate with engineers, product managers, and analysts to clarify requirements and drive quality improvements
Expand automated data quality coverage
2+ years in data engineering, analytics, DataOps or a Data Quality role
Data profiling and analysis - identifying anomalies, drift, and duplicates
Clear understanding of data quality dimensions - completeness, accuracy, consistency, and timeliness
Experience with data pipelines (e.g. ETL/Streaming/batch)
Experience handling and managing data incidents end-to-end
Solid understanding of JSON and YAML formats
Experience working with APIs and backend services (integration troubleshooting, data feed ingestion)
Strong ability to read and analyze application logs
Comfortable with Linux command line
Experience using CI/CD tools (Jenkins or GitLab) as a practitioner
English proficiency B2+ (reading and written communication)
Will be a plus
Experience in finance or trading domain
Familiarity with TradingView as a product
Domain knowledge in investments - brokers, crypto exchanges, or financial markets
Experience with AI tools and workflows
Experience with Kafka or streaming data pipelines
Familiarity with data catalog and metadata management tools
Experience with data observability platforms
Python for automated data quality checks
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.