At a Glance
- Tasks: Design and develop scalable data pipelines using SPARQL and Python.
- Company: Bangura Solutions Limited, a forward-thinking tech company in London.
- Benefits: Competitive compensation and contract role with flexible working options.
- Other info: Exciting opportunity to work on impactful projects in healthcare technology.
- Why this job: Join a dynamic team and shape the future of clinical data architecture.
- Qualifications: Experience with knowledge graphs and strong skills in SPARQL and Python.
The predicted salary is between 60000 - 80000 € per year.
Location: London, United Kingdom
Posted: 10 months ago
Tech Stack:
- Graph databases
- Databases
- Python
Job Requirements:
- Knowledge Graph experience is required.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using SPARQL and Python to extract, transform, and load data into graph databases.
- Create and optimize complex SPARQL queries to retrieve and analyze data.
Compensation: Competitive
Role type: Contract
Visa sponsorship: Not provided
Data Architect - Clinical Knowledge Graph in London - Bangura Solutions Limited employer: Stars Arena
Bangura Solutions Limited is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Data Architect role in London. Employees benefit from competitive compensation, opportunities for professional growth, and the chance to work with cutting-edge technologies in a vibrant city known for its tech scene, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect - Clinical Knowledge Graph in London - Bangura Solutions Limited
✨Tip Number 1
Network like a pro! Reach out to professionals in the data architecture field on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with knowledge graphs and SPARQL queries. We recommend including real-world examples that highlight your problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions. We suggest practising your answers with a friend or even in front of the mirror to boost your confidence.
✨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 the initiative to connect directly with us.
We think you need these skills to ace Data Architect - Clinical Knowledge Graph in London - Bangura Solutions Limited
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with knowledge graphs and relevant tech stacks like SPARQL and Python. We want to see how your skills align with the role, so don’t hold back on showcasing your best work!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how your previous experiences make you a perfect fit for our team. Keep it engaging and personal – we love a good story!
Showcase Your Projects:If you've worked on any projects involving graph databases or data pipelines, be sure to mention them! We’re keen to see real examples of your work, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Stars Arena
✨Know Your Graph Databases
Make sure you brush up on your knowledge of graph databases before the interview. Be ready to discuss your experience with them, especially in relation to clinical knowledge graphs. Highlight any specific projects where you've designed or maintained data pipelines.
✨Master SPARQL Queries
Since the role involves creating and optimising SPARQL queries, practice writing complex queries ahead of time. You might be asked to solve a problem on the spot, so being able to demonstrate your skills will set you apart from other candidates.
✨Showcase Your Python Skills
Python is a key part of this role, so be prepared to talk about your experience with it. Bring examples of how you've used Python for data extraction, transformation, and loading (ETL) processes. If possible, share code snippets or projects that highlight your proficiency.
✨Prepare Questions About the Role
Interviews are a two-way street, so come prepared with insightful questions about the company’s approach to data architecture and their use of knowledge graphs. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
