At a Glance
- Tasks: Build innovative data solutions and develop data pipelines for smarter customer experiences.
- Company: Join a cutting-edge AI start-up with a focus on innovation.
- Benefits: Enjoy a competitive salary of up to £90,000 and excellent remote work benefits.
- Why this job: Shape the future of data architecture and make a real impact in AI.
- Qualifications: Strong Python skills and experience with SQL/NoSQL databases required.
- Other info: Fully remote role with opportunities for career growth and collaboration.
The predicted salary is between 54000 - 126000 £ per year.
Innovative AI Start-up now requires a Python engineer to build innovative data solutions which power smarter and more relevant customer experiences. You will develop and design data pipelines, data models, backend APIs and an array of customer facing data services.
The role:
- Own and improve our client’s data infrastructure ensuring reliable and scalable services.
- Write and refine tests across unit, integration and E2E layers.
- Collaborate with cross functional teams to deliver high impact work at pace.
- Design and develop dashboards to deliver insights.
- Shape the direction of our clients architecture, scalability and security.
Key Requirements:
- Strong hands-on Python experience with a solid understanding of modern data tools.
- Extensive experience working with both SQL and NoSQL databases.
- Exposure to cloud services, infrastructure as code and CI/CD pipelines.
- Strong understanding of data modelling and API development.
- Excellent communication skills with a collaborative approach to development.
This is a permanent opportunity which provides a base salary of up to £90,000 plus excellent benefits. In terms of working structure, this role is fully remote.
Python Engineer (Data) – AI - £90,000 – Remote (UK) employer: Ventula Consulting
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer (Data) – AI - £90,000 – Remote (UK)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving data pipelines and APIs. We love seeing real-world applications of your work, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. We recommend practicing coding challenges and discussing your past projects. Be ready to explain your thought process and how you tackle problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to shape the future of AI with us!
We think you need these skills to ace Python Engineer (Data) – AI - £90,000 – Remote (UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong hands-on Python experience and any relevant data tools you've worked with. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL and NoSQL database expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your experience can help us build innovative data solutions. Keep it conversational but professional – we love a bit of personality!
Showcase Your Projects: If you’ve worked on any cool projects involving data pipelines or backend APIs, make sure to mention them! We’re keen to see real examples of your work that demonstrate your ability to deliver high-impact results.
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 don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Ventula Consulting
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your hands-on experience and any projects you've worked on that showcase your ability to build data solutions. Practising coding challenges can also help you feel more confident.
✨Familiarise Yourself with Data Tools
Since the role requires a solid understanding of modern data tools, take some time to review the latest technologies in data pipelines, SQL, and NoSQL databases. Be prepared to talk about how you've used these tools in past projects and how they can benefit the company.
✨Showcase Your Collaboration Skills
This position emphasises collaboration with cross-functional teams, so think of examples where you've successfully worked with others. Highlight your communication skills and how you approach teamwork, as this will demonstrate your fit for their collaborative culture.
✨Prepare Questions About Architecture and Security
Since you'll be shaping the direction of the client's architecture and security, come prepared with insightful questions. This shows your interest in the role and helps you understand their current challenges, making you a more attractive candidate.