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, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in AI-driven data solutions and shape the future of visual communication.
- Qualifications: 5+ years as a Data Engineer with strong SQL and Python skills.
The predicted salary is between 70000 - 90000 € 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: SLAMcore
At Synthesia, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge AI technology, all while enjoying the flexibility of a hybrid work environment. Join us and be part of a rapidly growing company that values your contributions and empowers you to make a meaningful impact in the world of visual communication.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Synthesia. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data projects or contribute to open-source initiatives. This gives us a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on SQL and Python. Practice common data engineering problems and be ready to discuss your past projects in detail. We love seeing how you think through challenges!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are excited about AI and data.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with data pipelines, SQL, and cloud infrastructure to show us you’re the right fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering and how your background aligns with our mission at Synthesia. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on any relevant projects, don’t hesitate to mention them! We love seeing real-world applications of your skills, especially if they involve building scalable data systems or optimising performance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at SLAMcore
✨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, particularly around data governance and performance optimisation. Think of a few scenarios where you diagnosed bottlenecks or improved data quality, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Be prepared to demonstrate how you gather requirements and translate them into actionable data 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. Show enthusiasm for their mission and think about how your role as a Senior Data Engineer can contribute to their growth. This will demonstrate your alignment with their goals and culture.
