Data Engineer

TradingView is a financial analysis and charting platform used by more than 100 million traders and investors across 180+ countries. It provides advanced charting, market data, collaboration, publishing, and financial visualization tools.

• Define data quality requirements, metrics, and SLAs aligned with business and engineering needs;
• Set up dashboards, track data SLAs, and proactively identify anomalies, drift, duplicates, and defects in numerical and production data streams;
• Conduct root cause analysis across the full data lifecycle, fix incorrect records, and implement preventive measures;
• Participate in designing data schemas and models and lead the onboarding and ingestion of new data sources and APIs;
• Expand automated data quality test coverage and build pipeline checks to detect issues early;
• Partner with developers, product managers, and analysts to clarify requirements, optimize pipelines, and drive quality improvements;
• Maintain and evolve data documentation, schema definitions, and defect logs.

• 2+ Years of experience in Data Engineering, Data Quality, DataOps, or Data Analytics;
• Strong understanding of data profiling, data anomalies, and data quality dimensions including completeness, accuracy, consistency, and timeliness;
• Hands-on experience with data pipelines, including ETL, batch, or streaming, and data feed ingestion through APIs and backend services;
• High comfort level working in the terminal with Bash/Linux command line and reading application logs;
• Solid knowledge of JSON/YAML, Git/GitHub, CI/CD practices such as GitLab or Jenkins, and general SDLC concepts;
• English proficiency at B2+ level with strong technical reading and written communication;
• Nice to have: experience in finance or trading, familiarity with TradingView, Python for data processing scripts or automated quality checks, Regex, streaming platforms such as Kafka, data observability tools, data catalogs and metadata management, AI tools and AI-assisted engineering workflows.

• Flexible working hours;
• Well-equipped offices;
• 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.