Finance Data Engineer
Share
Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Welcome to the video first world
From your everyday PowerPoint presentations to Hollywood movies AI will transform the way we create and consume content. Today people want to watch and listen not read both at home and at work. If youre reading this and nodding check out our brand video.
Despite the clear preference for video communication and knowledge sharing in the business environment are still dominated by text largely because high-quality video production remains complex and challenging to scaleuntil now.
Meet Synthesia
Were 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 its 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. Were trusted by leading brands such as Heineken Zoom Xerox McDonalds and more. Read stories from happy customers and what 1200 people say on G2.
In 2023 we were one of 7 European companies to reach unicorn February 2024 G2 named us as the fastest growing company in the world. Weve 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. Youll 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.
Qualifications:
- Bachelors or Masters 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.
At Synthesia we expect everyone to...
- Put the Customer First
- Own it & Go Direct
- Be Fast & Experimental
- Make the Journey Fun
You can read more about this in our public Notion page.
Location: LON or UK Remote
UK Benefits
A hybrid flexible approach to work where you have access to a lovely office space in Oxford Circus with free lunches on a Wednesday and Friday
A competitive salary stock options
25 days of annual leave public holidays
Private healthcare through AXA
Pension contribution - Synthesia contributes 3% and employees contribute 5% on qualifying earnings
Paid parental leave entitling primary caregivers to 16 weeks of full pay and secondary 5 weeks of full pay
You can participate in a generous recruitment referral scheme if you help us to hire
The equipment you need to be successful in your role
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Create AI videos from text with AI video generator. Get most advanced AI avatars and voiceovers in 130+ languages. Try free AI video generator today!
