At a Glance
- Tasks: Build and maintain scalable data pipelines to support Figma's growth.
- Company: Join Figma, a leader in design collaboration and innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of design while working with cutting-edge data technologies.
- Qualifications: 4+ years in data engineering, fluent in SQL and Python.
- Other info: Diverse and inclusive workplace that values growth and learning.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We are looking for an expert Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You’ll also work closely with partners across product & engineering teams to ensure that the data they need arrives promptly and optimally. You’ll play an integral role in building the metrics and self‑serve reporting capabilities to unlock Figma’s next phase of growth. This is a great role for an individual who is passionate about working with data and data systems, and who loves solving problems. The ideal candidate will be a great communicator who can help coordinate across multiple internal and external teams and takes pride in building end‑to‑end projects. This is a full‑time role that can be held from one of our London Hub or UK remotely.
What you’ll do at Figma:
- Own, build, and maintain scalable data pipelines that connect various cloud data sources
- Develop a deep understanding of Figma’s core data models and optimize data pipelines for scale
- Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self‑service
- Work with a wide range of cross‑functional stakeholders to derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences
- Establish standard processes for the development of specialized data sets for analytics and modeling
We'd love to hear from you if you have:
- 4+ years in a relevant field
- Fluency with both SQL and Python
- Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools
- Excellent judgment and creative problem solving skills
- A self‑starting attitude along with strong communication and collaboration skills
While not required, it’s an added plus if you also have:
- Knowledge in data modeling methodologies to design and build robust data architectures for insightful analytics
- Experience with business systems such as Salesforce, Customer IO, Stripe, NetSuite is a big plus
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace — we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Holding interviews in an accessible location, enabling closed captioning on video conferencing, ensuring all written communication be compatible with screen readers, changing the mode or format of interviews.
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
Data Engineer (London, United Kingdom) employer: Figma
Contact Detail:
Figma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (London, United Kingdom)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Figma on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Figma is looking for someone who can hit the ground running, so being able to showcase your technical prowess will definitely impress.
✨Tip Number 3
Show off your problem-solving skills! Be ready to discuss past projects where you tackled complex data challenges. Figma loves candidates who can think on their feet and come up with creative solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Figma team.
We think you need these skills to ace Data Engineer (London, United Kingdom)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience and skills that match the Data Engineer role. We want to see how your background aligns with what we’re looking for!
Show Off Your Skills: Don’t hold back on showcasing your technical skills, especially with SQL and Python. If you’ve worked with tools like Snowflake or dbt, let us know! We love seeing real examples of your work.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experiences and how they relate to the job. We appreciate good communication, so show us you can do it in your application!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Figma
✨Know Your Data Tools
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on your knowledge of Snowflake, dbt, and ETL tools, as being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Understand Figma’s Mission
Familiarise yourself with Figma’s platform and its mission to make design accessible. Being able to articulate how your skills can contribute to this goal will demonstrate your enthusiasm and alignment with their values.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of specific examples from your past experience where you successfully tackled complex data challenges, and be ready to explain your thought process clearly.
✨Communicate Effectively
Since the role involves working with cross-functional teams, practice explaining technical concepts in simple terms. This will help you showcase your communication skills and ability to collaborate effectively with non-technical stakeholders.