At a Glance
- Tasks: Develop and optimise data platforms, pipelines, and AI solutions for major clients.
- Company: Dynamic organisation investing in Data & AI with a collaborative culture.
- Benefits: Competitive salary up to £50k, bonuses, and career progression opportunities.
- Other info: Hybrid role with access to cutting-edge tech and a clear career path.
- Why this job: Join a team tackling complex challenges and make a real impact in the data world.
- Qualifications: Experience in data analytics, SQL, Python, and cloud technologies required.
The predicted salary is between 60000 - 80000 £ per year.
Data & AI Consultant - London (Hybrid) - Up to £50,000 - Permanent
We're currently partnering with an organisation who are investing heavily in their Data & AI function.
With the demanding growth of data-driven transformation, they need a talented Data & AI professional to help deliver innovative solutions for some of the world's largest and most recognised organisations.
This is an exciting opportunity to work on large-scale transformation programmes, helping clients to develop value through modern cloud and data platforms, advanced analytics and AI solutions.
You'll join a cooperative team, working closely with business and technology stakeholders to solve complex challenges and creating an impact by delivering outcomes across a variety of sectors.
The Role
- Develop and maintain scalable data platforms and cloud-based solutions.
- Design, build, and optimise data pipelines, data models and warehouse environments.
- Analyse business requirements and identify effective data-driven approaches to solve problems.
- Work with teams across the business to gather requirements and deliver data solutions that support decision-making.
- Support the implementation of analytics, AI and machine learning capabilities where appropriate.
- Monitor, troubleshoot, and improve the performance, reliability and quality of data systems.
- Provide technical input into the design and development of new data products and solutions.
- Share knowledge and support the development of less experienced team members.
- Keep up to date with new technologies, tools and best practices across data engineering, cloud, analytics and AI.
- Contribute to continuous improvement initiatives, helping to enhance processes, standards and ways of working.
- Required Skills & Experience
- Proven strong exposure to data analytics or engineering projects in a client-facing environment.
- Strong understanding of data engineering, warehousing, modelling and architecture practices.
- Proficiency in SQL and Python, with experience working with large and complex data sets.
- Hands‑on experience building data pipelines and modern data platforms.
- Strong knowledge of cloud technologies.
- Proven ability to translate business requirements into large data-driven solutions.
What do they offer?
- Clear path for career progression within a growing Data & AI practice.
- Access to cutting-edge cloud and analytics technologies.
- Opportunity to work on complex, high‑profile data programmes.
- Base salary up to £50k with a great bonus and benefits package.
Interview processes have started now, so if you're a data‑driven professional looking for your next challenge, it'd be great to hear from you.
Drop me an email at j. marchant@tenthrevolution. com
All candidates must be available to travel on-site at least 3 days a week.
To be eligible for this role you're required a full, unrestricted right to work in the UK.
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Data & AI Consultant employer: Cyber Security training courses
As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.
Contact Details:
Cyber Security training courses Recruitment Team
