At a Glance
- Tasks: Own and scale data infrastructure while working with cutting-edge AI technologies.
- Company: Wave Group, an exciting early-stage start-up in Greater London.
- Benefits: Visa sponsorship available, competitive salary, and a chance to lead from day one.
- Other info: Join a dynamic team and make a real impact in a growing start-up.
- Why this job: Be the go-to expert in your field and shape the future of data infrastructure.
- Qualifications: 3-6 years of experience in data engineering, proficiency in Python and Postgres.
The predicted salary is between 60000 - 80000 € per year.
Wave Group, a promising early-stage start-up in Greater London, is looking for a Backend/Infrastructure Data Engineer with 3-6 years of experience. The role involves owning the data infrastructure and scaling existing systems to handle more documents and asset classes.
Candidates should have AI-native experience and proficiency in Python and Postgres. Visa sponsorship available for qualified candidates. This is a unique opportunity to be the most senior person in your domain from day one.
Founding Data Engineer - AI-Driven Data Infra Lead in London employer: Wave Group
Wave Group is an innovative early-stage start-up located in the vibrant tech hub of Greater London, offering a dynamic work environment that fosters creativity and collaboration. As a Founding Data Engineer, you will play a pivotal role in shaping our AI-driven data infrastructure, with ample opportunities for professional growth and development. Our culture prioritises flexibility, inclusivity, and the chance to make a significant impact from day one, making it an exciting place for those looking to advance their careers in a cutting-edge field.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Data Engineer - AI-Driven Data Infra Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Wave Group or similar start-ups. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your experience with Python and Postgres, make sure to share them during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on AI concepts and data infrastructure challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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!
We think you need these skills to ace Founding Data Engineer - AI-Driven Data Infra Lead in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and Postgres in your application. We want to see how you've used these skills in real-world scenarios, especially in AI-driven projects.
Tailor Your Application:Don’t just send a generic CV! We love it when candidates customise their applications to reflect the specific requirements of the Founding Data Engineer role. Show us why you’re the perfect fit for our team!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website:We encourage you to apply 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 Wave Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and Postgres, as these are key skills for the role. Brush up on your AI-native experience too, and be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data infrastructure before. Think about specific instances where you scaled systems or improved processes, and be ready to explain your thought process.
✨Understand the Company’s Vision
Research Wave Group and their goals. Knowing their mission and how your role fits into their plans will show your genuine interest and help you align your answers with their objectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future projects. This not only demonstrates your enthusiasm but also gives you a chance to assess if the company is the right fit for you.
