Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines, ensuring high data quality and governance.
- Company: Join Synthesia, the leading AI video platform for business, valued at $4 billion.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in AI-driven visual communication and enterprise skill development.
- Qualifications: 5+ years as a Data Engineer with strong SQL and Python skills.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
We’re hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You’ll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards.
What you’ll do at Synthesia:
- Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse.
- Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation.
- Manage platform infrastructure in Snowflake, AWS and other tools.
- Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale.
- Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs.
- Drive best practices in data security, governance, and compliance, particularly with regards to AI.
- Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions.
What we’re looking for:
- 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems.
- Experience working in an early-stage or scaling data function.
- You’re comfortable taking ownership and wearing multiple hats when needed.
- Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on.
- Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow).
- Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms.
- A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability.
- Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs.
- A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.
Senior Data Engineer employer: Synthesia
Contact Detail:
Synthesia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects, make sure to share it. It’s a great way to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We all know that confidence shines through when you’re well-prepared!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Synthesia. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, SQL, and cloud infrastructure. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our mission at Synthesia. Let us know what excites you about the role!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in building scalable data systems. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at Synthesia
✨Know Your Data Inside Out
Make sure you’re well-versed in the data systems and technologies mentioned in the job description. Brush up on your SQL skills and be ready to discuss how you've built and optimised data pipelines in the past. Being able to share specific examples will show that you have the hands-on experience they’re looking for.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, especially around data governance and performance optimisation. Think of a few scenarios where you diagnosed bottlenecks or improved data quality. This will demonstrate your pragmatic approach to data platform design and your ability to think critically under pressure.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Be ready to discuss how you gather requirements and translate them into technical solutions. Good communication can set you apart from other candidates.
✨Understand the Company’s Vision
Familiarise yourself with Synthesia's products and their impact on visual communication and enterprise skill development. Showing that you understand their mission and how your role as a Senior Data Engineer fits into it will highlight your product-oriented mindset and enthusiasm for the position.