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languagelinkedincalendar_todayგამოქვეყნდა: 27/08/2026scheduleბოლო ვადა: 27/09/2026

Senior Data Platform Engineer

domainTradingView
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ლოკაციაTbilisi, Georgia
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დატოვეთ თქვენი CV Job Up-ის საერთო ბაზაში — ჩვენი AI შეგირჩევთ სხვა შესაფერის შემოთავაზებებს.

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ვაკანსიის აღწერა და მოთხოვნები

Seniority level: Not Applicable | Employment type: Other | Industries: Financial Services

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 processes

Build new components and data processing pipelines

Develop and maintain self-service tools for developers, analysts, stewards, and domain owners, so that connecting new data no longer depends on engineers

Implement data quality checks and make them available for teams to use and extend

Implement golden record determination mechanisms for reference data

Take part in hiring as the team grows

What makes you the perfect fit

4 to 6 years of experience as a Data Engineer

Strong Python. This is the main language of the platform

SQL fluency, including query profiling and optimization

Deep hands-on experience with at least one batch orchestration tool such as Airflow, Dagster, Prefect, or Kestra

Hands-on experience with dbt

Hands-on experience with data quality tools such as great expectations, soda, or similar

Experience with OLTP and OLAP databases such as Postgres and ClickHouse

Experience 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 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.