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- Tasks: Lead the design and development of scalable data platforms for AI solutions.
- Company: Join a cutting-edge tech consultancy specialising in applied AI for global brands.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation, collaborating with experts to solve real-world problems.
- Qualifications: Experience in data engineering and familiarity with machine learning concepts required.
- Other info: This role offers a chance to impact major projects in a dynamic environment.
The predicted salary is between 72000 - 84000 £ per year.
Lead Data Engineer – London – £120,000
Sector: AI Consulting | Client Delivery
Type: Full-time | Hybrid
Join a tech consultancy at the forefront of applied AI—helping global brands design and deploy intelligent systems that solve real business problems. They combine deep engineering know-how with domain expertise to build the data infrastructure that powers machine learning and generative AI at scale.
About the Role
As a Lead Data Engineer , you’ll play a critical role in delivering AI-driven solutions for clients—owning the architecture and development of robust, scalable data platforms that feed into machine learning models and intelligent applications.
You’ll work closely with Data Scientists, MLOps Engineers, and domain experts to ensure clean, accessible, and production-grade data pipelines are in place to support experimentation and deployment.
Lead Data Engineer employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network with professionals in the AI and data engineering sectors. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends and technologies that could be beneficial for your role.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source initiatives. This not only demonstrates your expertise but also highlights your passion for data engineering and AI, making you a more attractive candidate.
✨Tip Number 3
Prepare for technical interviews by brushing up on key concepts related to data architecture, machine learning pipelines, and scalable data solutions. Practising coding challenges and system design problems can also help you stand out during the interview process.
✨Tip Number 4
Research the company’s recent projects and case studies in AI consulting. Being knowledgeable about their work will allow you to tailor your discussions during interviews and demonstrate your genuine interest in contributing to their success.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of a Lead Data Engineer. Highlight your experience in building data platforms and working with machine learning models.
Tailor Your CV: Customise your CV to reflect relevant skills and experiences that align with the role. Emphasise your expertise in data architecture, pipeline development, and collaboration with data scientists and MLOps engineers.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data engineering. Mention specific projects where you’ve successfully implemented scalable data solutions and how they relate to the company's mission.
Highlight Technical Skills: Make sure to list your technical skills prominently, especially those related to data engineering tools and technologies. Include any experience with machine learning frameworks and data processing languages that are relevant to the position.
How to prepare for a job interview at Omnis Partners
✨Showcase Your Technical Expertise
As a Lead Data Engineer, you'll need to demonstrate your deep understanding of data architecture and engineering principles. Be prepared to discuss specific technologies you've worked with, such as data warehousing solutions, ETL processes, and cloud platforms. Highlight any experience you have with machine learning models and how you've integrated data pipelines to support them.
✨Collaborate and Communicate
This role requires close collaboration with Data Scientists and MLOps Engineers. During the interview, emphasise your ability to work in cross-functional teams. Share examples of how you've effectively communicated complex technical concepts to non-technical stakeholders, ensuring everyone is aligned on project goals.
✨Demonstrate Problem-Solving Skills
Expect to face scenario-based questions that assess your problem-solving abilities. Prepare to discuss challenges you've encountered in previous projects and how you overcame them. This will showcase your critical thinking skills and your ability to deliver AI-driven solutions under pressure.
✨Understand the Company’s Vision
Research the consultancy's approach to AI and their client base. Be ready to discuss how your skills and experiences align with their mission to build intelligent systems. Showing that you understand their business model and how you can contribute will set you apart from other candidates.
