At a Glance
- Tasks: Lead the evolution of our data platform and drive AI-enabled data products.
- Company: Join Phoenix UK, a forward-thinking organisation focused on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology.
- Why this job: Shape the future of data architecture and make a real impact across the organisation.
- Qualifications: Experience in data engineering and a passion for AI-driven solutions.
The predicted salary is between 81000 - 99000 £ per year.
Phoenix UK is seeking a Data Platform Lead to own the evolution of our modern data platform and lead the engineering capability responsible for trusted, high-quality data across the organisation. With the Microsoft Fabric migration complete, you will shape architecture, drive AI-enabled data products, and collaborate with analytics, technology and business teams to move beyond traditional reporting.
Data Platform Lead — AI-Driven Data Engineer in Runcorn employer: PHOENIX group - Integrated Healthcare Provider
PHOENIX group is an exceptional employer, offering a dynamic work culture that prioritises employee well-being and professional growth. Located in Runcorn, UK, we provide hybrid working options post-onboarding, ensuring a flexible balance between work and personal life. Our commitment to employee development is evident through ongoing training and support, making this a rewarding environment for those looking to make a meaningful impact in the healthcare sector.
Contact Details:
PHOENIX group - Integrated Healthcare Provider Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Lead — AI-Driven Data Engineer in Runcorn
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We think you need these skills to ace Data Platform Lead — AI-Driven Data Engineer in Runcorn
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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