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For Companies 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 people in the industry, attend virtual meetups, and connect with fellow Python enthusiasts. 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 data pipelines and APIs. 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 your technical skills. Practice coding challenges related to Python, SQL, and data modelling. We recommend using platforms that simulate real interview scenarios to get comfortable with the process.
✨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 are proactive about their job search!
We think you need these skills to ace Python Engineer (Data) – AI - £90,000 – Remote (UK)
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. They’ll likely want to see how you approach problem-solving with Python, so prepare some examples.
✨Familiarise Yourself with Data Tools
Since the role involves modern data tools, take some time to review the latest technologies in data pipelines, SQL, and NoSQL databases. Be prepared to talk about your experience with these tools and how you've used them to improve data infrastructure in previous roles.
✨Showcase Your Collaboration Skills
This position requires working with cross-functional teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team projects, especially in fast-paced environments.
✨Prepare for Technical Questions
Expect technical questions related to API development, data modelling, and cloud services. Brush up on your knowledge of CI/CD pipelines and infrastructure as code. Practising coding challenges or mock interviews can help you feel more confident when tackling these questions.
