At a Glance
- Tasks: Lead data architecture and build scalable pipelines for an AI platform.
- Company: Hexwired Recruitment Limited, a high-growth AI company in London.
- Benefits: Equity options, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and performance.
- Why this job: Shape the future of AI with cutting-edge data engineering.
- Qualifications: Experience in data engineering and leadership skills required.
The predicted salary is between 75600 - 92400 £ per year.
Hexwired Recruitment Limited is seeking a Lead Data Engineer in London (hybrid) to own the data architecture, build scalable pipelines, and enable AI-ready infrastructure for a high-growth AI platform. You will lead data infrastructure, real-time processing, and ML data workflows, shaping the engineering team and standards. You will collaborate with AI, backend and product teams, optimise data performance, and drive governance and observability across the platform, with equity options and strong.
Lead Data Engineer - Real-Time Pipelines & AI Infra in London employer: Hexwired Recruitment Limited
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Contact Details:
Hexwired Recruitment Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Real-Time Pipelines & AI Infra in London
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We think you need these skills to ace Lead Data Engineer - Real-Time Pipelines & AI Infra 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hexwired Recruitment Limited. 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!
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