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For Companies At a Glance
- Tasks: Build innovative data solutions and showcase cutting-edge AI technologies.
- Company: Join a forward-thinking team focused on data modernisation and AI advancements.
- Benefits: Enjoy fully remote work, flexible hours, and a chance to lead exciting projects.
- Why this job: Be at the forefront of tech innovation while making a real impact in the industry.
- 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 48000 - 72000 £ per year.
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
#J-18808-Ljbffr
Data & AI Consultant employer: Jefferson Frank
Contact Detail:
Jefferson Frank 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 projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your previous experiences with real-time data streaming and cloud data engineering. Be ready to share examples of how you've successfully implemented similar projects or solutions in the past.
✨Tip Number 3
Showcase your problem-solving skills by thinking through potential challenges that could arise during the implementation of the POCs. Being able to articulate your approach to overcoming these obstacles will demonstrate your technical leadership.
✨Tip Number 4
Engage with the latest trends in AI and data modernisation. Being knowledgeable about current advancements and how they can be applied in practical scenarios will impress the hiring team and show your passion for the field.
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 showcases your passion for data and AI. Explain how your skills align with the role and provide examples of past projects where you successfully implemented similar solutions.
Highlight Technical Skills: Clearly list your technical skills related to the job, such as experience with Apache Kafka, AWS Kinesis, and vector databases. Be specific about your proficiency level and any relevant certifications.
Showcase Problem-Solving Abilities: In your application, include examples of how you've tackled complex problems in previous roles. This could involve discussing your approach to building production-quality POCs or integrating systems effectively.
How to prepare for a job interview at Jefferson Frank
✨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.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your ability to tackle challenges in data modernisation and AI integration. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Prepare for Client-Facing Scenarios
Since this role involves client interaction, practice articulating complex technical concepts in a way that's easy for non-technical stakeholders to understand. This will showcase your communication skills and client-facing expertise.
✨Research the Company and Its Projects
Familiarise yourself with StudySmarter's mission and recent projects. Understanding their approach to data and AI will help you align your answers with their values and demonstrate genuine interest in the role.
