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For Companies At a Glance
- 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 work options and competitive salary with opportunities for 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 - 168000 £ 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 fields. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends and technologies that are shaping the sector.
✨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
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as data pipelines and machine learning frameworks. Being able to discuss these in detail during interviews will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss real-world examples of how you've successfully built and maintained data platforms in previous roles. Highlighting your experience with scalable solutions will demonstrate your capability to handle the responsibilities of a Lead Data Engineer.
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 with data architecture, machine learning, and collaboration with cross-functional teams in your application.
Tailor Your CV: Customise your CV to reflect relevant skills and experiences that align with the job. Emphasise your expertise in building scalable data platforms and any specific technologies mentioned in the job listing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data engineering. Discuss how your background makes you a perfect fit for the role and mention specific projects where you've successfully implemented data solutions.
Highlight Collaboration Skills: Since the role involves working closely with Data Scientists and MLOps Engineers, make sure to include examples of past collaborations in your application. This will demonstrate your ability to work effectively in a team-oriented environment.
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 proficiency in data architecture and engineering. Be prepared to discuss specific technologies you've worked with, such as cloud platforms, data warehousing solutions, and ETL processes. 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.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges or case studies during the interview. Practice articulating your thought process when tackling data-related problems. Show how you approach issues methodically, considering factors like scalability, efficiency, and data integrity in your solutions.
✨Demonstrate Your Passion for AI
Since this position is within an AI consultancy, it's crucial to convey your enthusiasm for artificial intelligence and its applications. Discuss any personal projects, research, or continuous learning efforts you've undertaken in the AI space. This will show your commitment to staying at the forefront of technology and innovation.
