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- Tasks: Design and manage high-volume data pipelines for AI applications.
- Company: Leading tech company based in the City of London.
- Benefits: Flexible hybrid working, attractive benefits, and a supportive work environment.
- Why this job: Join a dynamic team and enhance AI systems with your expertise.
- Qualifications: Experience in software and data engineering, proficient in Python and SQL.
- Other info: Great opportunity for career growth in a cutting-edge field.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in the City of London is seeking a Software Engineer - Data & AI. You will design and manage crucial data pipelines, improving systems for AI applications. The ideal candidate will have significant experience in software and data engineering, proficient in Python and SQL, with web scraping expertise. This role offers flexible working conditions, including hybrid options and attractive benefits.
Data & AI Software Engineer — Scale High-Volume Pipelines (Hybrid) in City of London employer: Speechmatics
Contact Detail:
Speechmatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Software Engineer — Scale High-Volume Pipelines (Hybrid) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and AI applications. This will give potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and SQL. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying!
We think you need these skills to ace Data & AI Software Engineer — Scale High-Volume Pipelines (Hybrid) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software and data engineering, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data pipelines and AI applications. We love seeing enthusiasm, so let us know what excites you about this role and how you can contribute to our team.
Showcase Your Web Scraping Skills: Since web scraping is a key part of the job, make sure to mention any relevant experience you have. Whether it's a project or a specific tool you’ve used, we want to know how you can help us improve our systems!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Speechmatics
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are key for the role. Brush up on your web scraping techniques too, as they might ask you to demonstrate your skills or discuss past projects.
✨Showcase Your Pipeline Experience
Be ready to talk about your experience with data pipelines. Prepare specific examples of how you've designed or managed high-volume pipelines in previous roles, focusing on the impact your work had on AI applications.
✨Understand the Company’s Vision
Research the technology company and its products. Understanding their approach to AI and data engineering will help you align your answers with their goals and show that you’re genuinely interested in contributing to their success.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows your enthusiasm and helps you gauge if it’s the right fit for you.
