Senior Data Platform Engineer

Tradingview — Georgia · Posted ~3 days ago

Senior Full-time Hybrid Visa History ✓

Skills

Python SQL Data Engineering Airflow dbt Data Quality OLTP/OLAP Databases PostgreSQL ClickHouse Data Lakes Data Lake

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Summary

A global technology organization is seeking a senior data engineer to build and evolve a modern data platform. The role focuses on scalable pipelines, data quality, self-service tooling, and architectural improvements using modern data engineering practices.

Highlights

Opportunity to design foundational data systems, work on large-scale platforms, collaborate with global teams, and benefit from flexible work arrangements, learning opportunities, and career growth.

Description

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 Team We are building a Reference Data Management platform and looking for a strong data engineer to help shape it. This is a build role rather than a maintenance one. You will work on top of existing services and gradually turn them into a clean, transparent platform, and your decisions will shape its foundational design. Responsibilities Optimize the current platform and turn existing pipelines into transparent, controlled processesBuild new components and data processing pipelinesDevelop and maintain self-service tools for developers, analysts, stewards, and domain owners, so that connecting new data no longer depends on engineersImplement data quality checks and make them available for teams to use and extendImplement golden record determination mechanisms for reference dataTake part in hiring as the team grows What makes you the perfect fit 4 to 6 years of experience as a Data EngineerStrong Python. This is the main language of the platformSQL fluency, including query profiling and optimizationDeep hands-on experience with at least one batch orchestration tool such as Airflow, Dagster, Prefect, or KestraHands-on experience with dbtHands-on experience with data quality tools such as great expectations, soda, or similarExperience with OLTP and OLAP databases such as Postgres and ClickHouseExperience with data lake or lakehouse and time travel We care about depth more than the exact tool. If your strongest experience is with something close to the tools above, you will pick up ours quickly. Will be a plus Experience owning a key component of a mature data platform What we offer you Flexible working hours and a hybrid work formatWell-equipped offices for focused and collaborative workA global, distributed team of 500+ professionalsLearning, mentorship, and long-term career growthRelocation support and private health insurancePerformance-based bonusesTradingView Premium accessRegular 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.