Data Engineer

TradingView operates the world's largest financial analysis platform with over 100 million users across more than 180 countries, building tools that help traders and investors make informed decisions from advanced charting and market data to collaboration and publishing features.

• Define 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 with 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 including identifying anomalies, drift, and duplicates;
• Clear understanding of data quality dimensions such as completeness, accuracy, consistency, and timeliness;
• Experience with data pipelines including ETL, streaming, and batch;
• Experience handling and managing data incidents end-to-end;
• Solid understanding of JSON and YAML formats;
• Experience working with APIs and backend services covering integration troubleshooting and data feed ingestion;
• Strong ability to read and analyze application logs;
• Comfortable with Linux command line;
• Experience using CI/CD tools such as Jenkins or GitLab as a practitioner;
• English B2+ level for reading and written communication;
• Nice to have: Experience in finance or trading domain, Familiarity with TradingView as a product, Domain knowledge in investments including 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.