Tbilisi, Limassol
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!
