Senior Data Engineer

Senior QA Engineer (Data Integration)

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

Responsibilities

• 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 - 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

What makes you the perfect fit

• 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

Team description

About the team: Hi! 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.