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- Tasks: Design and enhance a GenAI powered software stack while building new data ingestion systems.
- Company: Leading financial data company with a focus on innovation.
- Benefits: Dynamic work environment with excellent growth potential and competitive salary.
- Why this job: Join a cutting-edge team and work with the latest AI technologies.
- Qualifications: 2+ years in software engineering, proficient in Python or TypeScript, strong API design skills.
- Other info: Exciting opportunities for career advancement in a fast-paced industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial data company is seeking a Software Engineer to join their DSAI team. The successful candidate will have the opportunity to design and enhance a GenAI powered software stack.
Responsibilities include:
- Building new systems for data ingestion
- Working with cutting-edge AI technologies
Candidates should have at least 2 years of experience in software engineering, be proficient in Python or TypeScript, and possess strong API design skills. This role offers a dynamic work environment with growth potential.
GenAI Data Engineer — Python/TypeScript, API & Data Systems employer: FactSet
Contact Detail:
FactSet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Data Engineer — Python/TypeScript, API & Data Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects in Python or TypeScript. This is your chance to demonstrate your API design skills and how you tackle real-world problems.
✨Tip Number 3
Prepare for the tech interview! Brush up on your coding skills and be ready to discuss your experience with data systems and AI technologies. Practice common interview questions and think about how your past work aligns with the role.
✨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, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace GenAI Data Engineer — Python/TypeScript, API & Data Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python or TypeScript and any relevant projects you've worked on. We want to see how your skills align with the GenAI software stack we're building!
Showcase Your API Skills: Since strong API design skills are a must, include specific examples of APIs you've designed or worked with. This will help us understand your technical capabilities and how you can contribute to our team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role and how your background fits with our mission. A personal touch goes a long way in making your application stand out!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at FactSet
✨Know Your Tech Stack
Make sure you’re well-versed in Python and TypeScript, as these are crucial for the role. Brush up on your API design skills too, as you’ll likely be asked to discuss your experience with building and enhancing data systems.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented GenAI or similar technologies. Highlight your contributions and the impact they had on the project. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand the Company’s Vision
Research the financial data company and their DSAI team. Understand their goals and how your role as a GenAI Data Engineer fits into their vision. This knowledge will help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and the challenges they face. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values and career aspirations.
