At a Glance
- Tasks: Engage with clients to design innovative AI-ready data platforms and solve business challenges.
- Company: Join NTT DATA, a leader in technology and innovation with a diverse workplace.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a global team committed to responsible innovation and diversity.
- Why this job: Make a real impact by accelerating AI transformation for clients and society.
- Qualifications: 5+ years in data platforms, strong consulting skills, and expertise in AI architectures.
The predicted salary is between 72000 - 88000 £ per year.
Make an impact with NTT DATA. Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
We are looking for a Forward Deployment Engineer specializing in AI Data Platforms and Data Spaces to help customers accelerate their AI transformation. You will work directly with clients to understand business challenges, assess their digital and data ecosystems, and design innovative AI-ready data platforms and sovereign data spaces that enable scalable AI solutions.
Key Responsibilities
- Engage with customers to identify business challenges, data opportunities, and AI use cases.
- Assess enterprise data ecosystems, applications, infrastructure, and digital maturity.
- Define roadmaps for AI-native transformation, focusing on AI-ready data platforms and sovereign data spaces.
- Design, develop, and deploy production-ready data platforms, data spaces, and rapid Proofs of Value (PoVs).
- Architect modern enterprise data solutions, including data lakes, lakehouses, data warehouses, and federated data spaces.
- Design scalable ETL/ELT pipelines, API-driven integrations, streaming architectures, and AI-ready data layers.
- Build innovative data space solutions that extend standards such as GAIA-X, IDSA, and DSIF to address customer-specific business requirements.
- Recommend the most appropriate technologies, architectures, and engineering practices for each customer, remaining technology-agnostic while leveraging AI-assisted development to accelerate delivery.
- Ensure solutions are secure by design, scalable, maintainable, and aligned with enterprise governance and compliance requirements.
- Collaborate with AI Engineers, Solution Architects, and business stakeholders to deliver measurable business outcomes.
Requirements
- 5+ years of experience as a Forward Deployment Engineer, Data Platform Engineer, Data Architect, Solutions Engineer, or similar customer-facing role focused on enterprise data platforms.
- Proven experience designing and implementing enterprise data platforms, AI data layers, and sovereign data spaces.
- Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.
- Strong understanding of AI-ready data architectures supporting analytics, machine learning, generative AI, Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.
- Experience with sovereign data ecosystems and interoperability frameworks such as GAIA-X, IDSA, and DSIF, with the ability to innovate beyond reference implementations to deliver customized business solutions.
- Broad knowledge of modern cloud, hybrid, and enterprise technologies, with the ability to rapidly learn, evaluate, and adopt emerging tools and platforms.
- Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices.
- Demonstrated ability to leverage AI-assisted development and intelligent engineering tools to accelerate delivery while maintaining high quality and security standards.
- Excellent consulting, communication, stakeholder management, and problem-solving skills.
What Success Looks Like
You are a customer-facing technology expert who combines deep knowledge of enterprise data platforms with strong consulting and engineering skills. You rapidly assess customer environments, architect innovative AI-ready data platforms and sovereign data spaces and deliver production-ready solutions that go beyond standard implementations. You are technology-agnostic, learn new technologies quickly, and leverage AI intelligently to build customized solutions that maximize business value.
Workplace type: Hybrid Working
Forward Deployment Engineer – AI Data Platforms & Data Spaces employer: NTT
At NTT DATA, we pride ourselves on being an exceptional employer that champions diversity and inclusion while fostering a culture of continuous growth and innovation. As a Databricks Solution Architect, you will have the opportunity to work with cutting-edge technologies in a collaborative environment, driving impactful data solutions for our clients. With a commitment to employee development and a focus on meaningful work, NTT DATA is the ideal place for professionals looking to advance their careers in a dynamic and supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployment Engineer – AI Data Platforms & Data Spaces
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NTT.
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When you find a suitable opening like Forward Deployment Engineer – AI Data Platforms & Data Spaces at NTT, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Forward Deployment Engineer – AI Data Platforms & Data Spaces
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at NTT, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NTT. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NTT
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NTT!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
