At a Glance
- Tasks: Design and maintain scalable data pipelines, ensuring high data quality and governance.
- Company: Join Synthesia, the leading AI video platform trusted by Fortune 100 companies.
- Benefits: Competitive salary, remote work options, 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 visual communication and enterprise skill development.
- 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 London employer: SLAMcore
At Synthesia, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration in the heart of London. Our vibrant work culture fosters creativity and inclusivity, providing ample opportunities for professional growth and development within the rapidly evolving AI landscape. With competitive benefits and a commitment to employee well-being, joining our team means becoming part of a dynamic organisation that is shaping the future of visual communication.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer London
✨Tip Number 1
Network like a pro! Reach out to current employees at Synthesia on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with SQL, Python, and data pipeline design. We want to see how you can apply your knowledge to real-world scenarios at Synthesia.
✨Tip Number 3
Showcase your problem-solving skills! Be ready to tackle some case studies or technical challenges during the interview. Think about how you've optimised data systems in the past and be prepared to share those stories.
✨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. Plus, it shows you’re genuinely interested in joining the Synthesia team.
We think you need these skills to ace Senior Data Engineer London
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 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!
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 your communication skills during the interview by asking clarifying questions and summarising your understanding of their needs.
✨Understand Their Product and Vision
Familiarise yourself with Synthesia’s AI video platform and how it fits into the broader market. Understanding their product will help you articulate how your skills can contribute to their goals. Show enthusiasm for their mission and be ready to discuss how data can drive their success.
