Finance Data Engineer
- London
- Permanent
- Full-time
We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We're trusted by leading brands such as Heineken, Zoom, Xerox, McDonald's and more. Read and what .In 2023, we were one of 7 European companies to reach unicorn status. In February 2024, G2 named us as the fastest growing company in the world. We've raised over $150M in funding from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.About the role…Synthesia is building a modern, AI-powered back office. We are hiring a full-stack engineer to design and run the data layer that powers Finance ensuring data from finance systems land securely in a data warehouse and is easily consumed via Copilot (LLM) and Omni dashboards. You'll be a cornerstone in our shift to modern finance workflows.Key Responsibilities:
- Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and securely store data from NetSuite and other finance systems into Snowflake, ensuring data integrity, compliance, and security best practices (e.g., encryption, access controls, and auditing).
- Collaborate with finance and data teams to define data models, schemas, and governance policies that support modern finance workflows, including automated reporting, forecasting, and anomaly detection.
- Implement data retrieval mechanisms optimized for LLM-based querying via Co-pilot and/or similar tools, enabling natural language access to financial data while maintaining accuracy and contextual relevance.
- Build and optimize interactive dashboards in Omni for real-time visualization and analysis of key metrics, such as financial performance and operational KPIs.
- Monitor and troubleshoot data pipelines, performing root-cause analysis on issues related to data quality, latency, or availability, and implementing proactive solutions to ensure high reliability.
- Document processes, architectures, and best practices to facilitate knowledge sharing and scalability within the team.
- Bachelor's or Master's degree in Computer Science, Finance, Information Systems, or a related field.
- 5+ years of experience as a data engineer or analytics engineer, with a proven track record in full stack data development (from ingestion to visualization).
- Strong expertise in Snowflake, including data modeling, warehousing, and performance optimization.
- Hands-on experience with ETL tools (e.g., Apache Airflow, dbt, Fivetran) and integrating data from ERP systems like NetSuite.
- Proficiency in SQL, Python, and/or other scripting languages for data processing and automation.
- Familiarity with LLM integrations (e.g., for natural language querying) and dashboarding tools like Omni or similar (e.g., Tableau, Looker).
- Solid understanding of data security principles, including GDPR/CCPA compliance, role-based access, and encryption in cloud environments.
- Excellent problem-solving skills, with the ability to work cross-functionally in agile teams.
- Put the Customer First
- Own it & Go Direct
- Be Fast & Experimental
- Make the Journey Fun