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- Tasks: Build data services and integrations to support AI teams.
- Company: Ocean Infinity, a tech-driven company in Greater London.
- Benefits: Competitive pay, collaborative environment, and focus on innovation.
- Other info: Exciting opportunities for growth in a dynamic tech environment.
- Why this job: Join a cutting-edge team and make an impact in AI development.
- Qualifications: Degree in Computer Science, 3 years experience, strong Python and SQL skills.
The predicted salary is between 50000 - 60000 £ per year.
Ocean Infinity is seeking a skilled Data Engineer - Backend in Greater London to support AI teams by building data services and integrations. The role involves designing backend services, developing APIs, and ensuring data quality across systems.
Candidates should have:
- A degree in Computer Science or similar
- At least 3 years of related experience
- Strong skills in Python and SQL
The position offers competitive pay based on experience in a collaborative environment focused on technology and innovation.
Backend Data Engineer for AI Pipelines & Data Services employer: Ocean Infinity
Contact Detail:
Ocean Infinity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Data Engineer for AI Pipelines & Data Services
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be just right for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Backend Data Engineer for AI Pipelines & Data Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL, as well as any relevant projects you've worked on. We want to see how your skills align with the role of a Backend Data Engineer.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our AI teams. Be specific about your past experiences and how they relate to building data services and integrations.
Showcase Your Projects: If you've worked on any interesting projects, especially those involving backend services or APIs, make sure to mention them. We love seeing practical examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Ocean Infinity
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your knowledge of backend services and APIs, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering. Ocean Infinity will want to see how you approach problem-solving, so think about times when you improved data quality or optimised a process.
✨Understand the Company’s Mission
Familiarise yourself with Ocean Infinity's focus on technology and innovation. Be prepared to discuss how your skills can contribute to their AI teams and how you align with their goals. This shows genuine interest and helps you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the projects you'll be working on, and the company culture. This not only demonstrates your enthusiasm but also helps you gauge if the environment is the right fit for you.