Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Finance Data Engineer

Synthesia
London
4 days ago
Create job alert

Join to apply for the Finance Data Engineer role at Synthesia

Join to apply for the Finance Data Engineer role at Synthesia

Welcome to the video first world

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 you’re 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 scale—until now….

Meet Synthesia

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 stories from happy customers and what 1,200+ people say on G2 .

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.

Qualifications:

  • 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.

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 roleSeniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at Synthesia by 2x

Get notified about new Data Engineer jobs in London Area, United Kingdom.

London, England, United Kingdom 3 weeks ago

Uxbridge, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

Enfield, England, United Kingdom 1 day ago

Greater London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London Area, United Kingdom £250,000.00-£550,000.00 1 month ago

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom £60,000.00-£80,000.00 1 month ago

London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 1 day ago

London Area, United Kingdom £50,000.00-£80,000.00 1 month ago

Greater London, England, United Kingdom 6 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom £50,000.00-£70,000.00 1 month ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 6 months ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 month ago

London Area, United Kingdom £100,000.00-£112,000.00 20 hours ago

London, England, United Kingdom 4 days ago

City Of London, England, United Kingdom 4 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Finance Data Engineer London

Data Engineer & Power BI Developer

Data Engineer & Power BI Developer

Data Engineer & Power BI Developer

Data Engineer & Power BI Developer

Data Engineer & Power BI Developer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.