At a Glance
- Tasks: Own and scale data infrastructure for an innovative AI-driven start-up.
- Company: Wave Group, a dynamic early-stage start-up in Greater London.
- Benefits: Visa sponsorship available, competitive salary, and growth opportunities.
- Other info: Join a collaborative team and make a real impact in the tech industry.
- Why this job: Be the leading expert in your field from day one and shape the future of data.
- Qualifications: 3-6 years of experience in data engineering, 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 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
✨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. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for the interview by brushing up on AI-driven data infrastructure topics. We want you to feel confident discussing how you can scale systems and handle diverse asset classes. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Founding Data Engineer - AI-Driven Data Infra Lead
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 the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
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 to the role. Brush up on your AI-native experience too, and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data infrastructure before. Think about scaling systems or optimising processes, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Company’s Vision
Research Wave Group and their goals. Knowing their mission and how your role fits into it will show your genuine interest and help you articulate how you can contribute from day one.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the role and the company. Inquire about their current data challenges or future projects, which will show you're not just interested in the job, but also in helping them succeed.
