At a Glance
- Tasks: Join us as a Data & AI Consultant to build innovative tech solutions.
- Company: We are a forward-thinking company focused on data modernisation and AI insights.
- Benefits: Enjoy fully remote work, flexible hours, and a chance to lead exciting projects.
- Why this job: Be part of cutting-edge technology, make an impact, and enhance your skills in a dynamic environment.
- Qualifications: Experience in cloud data engineering, real-time streaming, and API development is essential.
- Other info: This is a fully remote, 3-6 month contract with an immediate start.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Data and AI Consultant
We are looking for a technical implementer to build designs on the project. The architecture, analytics strategy, governance framework, and client-facing expertise will be provided. This candidate will executes the vision.The proposal is to build three production-quality POCs that demonstrate the technical leadership in; data modernisation, AI-powered insights, and systems integration. This is for one senior data engineer to build three flagship demonstrations
- Real-time Azure-to-AWS migration showcase (client-ready demo)
- AI-powered email intelligence system with natural language querying
- Document validation integration POC with working interface
Essential skills
- Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory
- Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC)
- Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration
- API Development: RESTful services, third-party integrations
- Production Systems: Enterprise-grade monitoring, error handling, cost optimisation
Outside IR35
Fully Remote
Immediate start
3-6 Month Contract
Please send CV's to me if you meet the requirments
Data & AI Consultant employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Consultant
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, Azure Data Factory, and Apache Kafka. Having hands-on experience or relevant projects to discuss can really set you apart during any conversations.
✨Tip Number 2
Prepare to showcase your problem-solving skills by thinking of examples where you've successfully implemented data solutions or AI projects. Be ready to explain your thought process and the impact of your work on previous projects.
✨Tip Number 3
Network with professionals in the data engineering and AI fields. Engaging with communities on platforms like LinkedIn or attending relevant webinars can help you gain insights and potentially get referrals for the position.
✨Tip Number 4
Stay updated on the latest trends in cloud data engineering and AI technologies. Being knowledgeable about recent advancements can help you demonstrate your passion and commitment to the field during discussions with us.
We think you need these skills to ace Data & AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud data engineering, real-time streaming, and API development. Use specific examples that demonstrate your expertise with AWS, Azure, and the technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that addresses the key responsibilities of the role. Explain how your skills align with the requirements, particularly your experience with data modernisation and AI-powered insights. Show enthusiasm for the opportunity to work on innovative projects.
Showcase Relevant Projects: If you have worked on similar projects, include them in your application. Describe your role in building POCs or any experience with real-time data migration and AI systems. This will help demonstrate your capability to execute the vision outlined in the job description.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a technical role like this one.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud data engineering, particularly with AWS and Azure. Highlight specific projects where you've implemented real-time streaming solutions or worked with vector databases, as these are crucial for the role.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your problem-solving skills. Prepare examples of how you've tackled challenges in previous projects, especially those involving data migration or system integration.
✨Understand the Business Context
While technical skills are essential, understanding how your work impacts the business is equally important. Be ready to explain how your technical implementations can drive AI-powered insights and improve client outcomes.
✨Prepare Questions for the Interviewers
Interviews are a two-way street. Prepare insightful questions about the company's approach to data modernisation and AI. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.