Finance Data Engineer @ Synthesia
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About Synthesia
Welcome to the video first world. Synthesia is on a mission to make video easy for everyone. Born in an AI lab, Synthesia simplifies high-quality video production, enabling organizations to communicate through video quickly and efficiently.
About the Role: Finance Data Engineer
Synthesia is building a modern, AI-powered back office. In this role, you will design and run the data layer that powers Finance. You will ensure that data from finance systems is securely ingested, transformed, and stored, and is easily accessible via Copilot (LLM) and Omni dashboards.
- Design, develop, and maintain robust ETL/ELT pipelines.
- Collaborate with finance and data teams on data models and governance.
- Implement optimized data retrieval for LLM-based querying.
- Build interactive dashboards for financial performance visualization.
- Monitor, troubleshoot and document data pipeline processes.
Key Skills/Competency
Finance Data Engineer, ETL, Snowflake, NetSuite, SQL, Python, Apache Airflow, dbt, data security, dashboarding
Qualifications & Benefits
Bachelor's or Master's in Computer Science, Finance, or related field with 5+ years of experience. Strong expertise in Snowflake, ETL tools, SQL, Python, LLM integrations and data security principles. Enjoy UK benefits with a hybrid work model, competitive salary, stock options, flexible workspaces, free lunches, and more.
How to Get Hired at Synthesia
🎯 Tips for Getting Hired
- Research Synthesia's culture: Review their mission and recent news.
- Tailor your resume: Highlight ETL and Snowflake expertise.
- Customize your application: Emphasize finance systems experience.
- Prepare for technical interviews: Practice SQL, Python, and data pipelines.
- Showcase collaboration: Detail cross-functional project successes.