At a Glance
- Tasks: Lead the design and implementation of innovative Data & AI solutions.
- Company: Join a dynamic team at a leading tech company focused on digital transformation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace committed to community growth and innovation.
- Why this job: Make a real impact in the world of Data & AI while working with cutting-edge technologies.
- Qualifications: 6+ years in Data Engineering or AI, with leadership experience in technical delivery.
The predicted salary is between 80000 - 100000 £ per year.
Imagine working alongside over 4,000 talented individuals driven by a shared passion for excellence and innovation. Our collective strength and the E4 Agile Method empower us to assist large enterprises in their digital transformation journey, executing ground-breaking projects from strategy to operation.
Global Impact, Local Commitment: In 2019, we established the VASS Foundation to champion research and training in the digital talent space. It’s about growing together, hand in hand with the community we serve.
We are looking for a highly skilled Lead Data & AI Engineer to join our Data & AI practice and lead the technical implementation of modern Data Products, AI-powered Analytics Solutions and Intelligence Platforms built on modern cloud data platforms. This is a hands-on technical role focused on designing and implementing production-ready solutions that combine Data Engineering, Analytics and Generative AI capabilities. The successful candidate will act as the technical lead during delivery, translating high-level architectures and business requirements into scalable and maintainable solutions.
Key Responsibilities:
- Lead the technical implementation of Data & AI solutions from design through production deployment.
- Design and implement scalable Data Products on Snowflake and modern cloud data platforms.
- Develop and optimize data ingestion, transformation and serving layers.
- Design and implement semantic and business data models.
- Build curated data layers to support analytics, intelligence and AI use cases.
- Ensure data quality, observability and performance across the platform.
- Design and implement AI-powered business capabilities leveraging enterprise data.
- Develop AI-generated insights, summaries, recommendations and intelligence use cases.
- Design and optimize prompts, evaluation mechanisms and AI workflows.
- Produce technical documentation and implementation blueprints.
Qualifications:
- 6+ years of experience in Data Engineering, Analytics Engineering or AI Engineering.
- ~3+ years of experience leading technical delivery of Data or AI initiatives.
- Advanced SQL development and strong Python programming skills.
- Data modelling (dimensional and modern analytical models).
- ELT/ETL design and implementation.
- Experience with modern data transformation frameworks such as dbt.
- Data quality and observability practices.
- Practical implementation experience with Large Language Models (LLMs), AI evaluation and testing, and enterprise AI solution development.
- Experience with AWS, DevOps and deployment automation, and Agile delivery methodologies.
- Experience with Microsoft Fabric and building Data Products.
We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are based on qualifications, merit, and business needs, without regard to race, religion, colour, sex, gender identity, sexual orientation, age, national origin, marital status, or disability status. Join us in shaping the future of digital transformation.
Lead AI/Data Engineer in London employer: VASS UK&I
At our company, we pride ourselves on fostering a culture of innovation and collaboration, where over 4,000 talented individuals work together to drive digital transformation for large enterprises. With a strong commitment to employee growth through initiatives like the VASS Foundation, we offer unique opportunities for professional development in a supportive environment that values diversity and inclusion. Join us as a Lead AI/Data Engineer and be part of a team that not only excels in cutting-edge technology but also makes a meaningful impact in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI/Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like VASS UK&I!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead AI/Data Engineer at VASS UK&I.
✨Leverage Professional Networks
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 VASS UK&I.
✨Apply Directly through Our Website
When you find a suitable opening like Lead AI/Data Engineer at VASS UK&I, 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 Lead AI/Data Engineer in London
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 VASS UK&I, 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 VASS UK&I. 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 VASS UK&I
✨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 VASS UK&I!
✨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.
