At a Glance
- Tasks: Design and build scalable infrastructure for generative AI models on Databricks.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Embrace a diverse workplace that values creativity and continuous improvement.
- Why this job: Dive into cutting-edge AI tech and make a real impact in a dynamic team.
- Qualifications: Bachelor’s degree in a related field and experience with Databricks.
The predicted salary is between 45000 - 55000 £ per year.
About the Role
As a Generative AI Platform Analyst, you will help design, build, and operate scalable infrastructure that supports large‑scale training and inference of generative AI models on the Databricks platform. You will work closely with cross‑functional teams to deliver reliable, cost‑efficient, and high‑performance solutions while developing deep expertise in modern data and AI platforms. This role offers hands‑on exposure to cutting‑edge generative AI technologies in a collaborative environment that encourages learning, innovation, and continuous improvement.
Key Responsibilities
- Architect and implement infrastructure to support large‑scale training and inference of generative AI models
- Design and optimize platform infrastructure for performance, scalability, consumption, and cost efficiency
- Evaluate infrastructure options and contribute to technology and vendor recommendations
- Develop operational controls, monitoring, and observability solutions for generative AI platforms
- Implement control towers to monitor platform health, usage, and operational performance
- Work independently on assigned tasks while actively contributing to team discussions and solution design
- Identify and propose improvements to platform reliability, efficiency, and usability
- Stay current with advancements in Databricks and generative AI infrastructure best practices
Required Qualifications
- Bachelor’s Degree in Computer Science, Engineering, Data, or a related field
- Advanced proficiency with the Databricks Platform
- Strong foundation in data processing concepts and practices
- At least 1 year of experience in relevant data or platform engineering roles (including internships or project work)
- Ability to work independently while collaborating effectively in a team environment
- Strong analytical, problem‑solving, and communication skills
Preferred Qualifications
- Advanced proficiency in Data Engineering
- Experience building and managing data pipelines
- Hands‑on experience with Databricks SQL
- Exposure to Databricks administration tasks
- Working knowledge of cloud infrastructure concepts
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Databricks Engineer in Penarth employer: ACCENTURE PTE LTD
As a Databricks Engineer, you will thrive in a dynamic and inclusive work culture that prioritises innovation and continuous learning. Our commitment to employee growth is evident through hands-on exposure to cutting-edge generative AI technologies and collaborative projects with cross-functional teams. Located in a vibrant tech hub, we offer competitive benefits and a supportive environment that empowers you to excel in your career while making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Engineer in Penarth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Databricks users on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and generative AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering and Databricks. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Databricks Engineer in Penarth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Databricks Engineer. Highlight your experience with the Databricks platform and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about generative AI and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Skills:Don’t just list your qualifications; demonstrate them! If you’ve built data pipelines or worked on cloud infrastructure, give us the details. We’re keen to see your hands-on experience and problem-solving abilities in action.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at ACCENTURE PTE LTD
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Understand its features, capabilities, and how it supports generative AI models. Be ready to discuss your hands-on experience with Databricks SQL and any relevant projects you've worked on.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data processing or platform engineering. Think about times when you optimised performance or improved reliability. This will demonstrate your analytical skills and ability to contribute to team discussions.
✨Understand Infrastructure Concepts
Familiarise yourself with cloud infrastructure concepts and how they relate to Databricks. Be prepared to discuss different infrastructure options and your thoughts on cost efficiency and scalability. This shows that you can evaluate technology choices effectively.
✨Emphasise Collaboration and Independence
While it's important to show you can work independently, don't forget to highlight your teamwork skills. Share experiences where you collaborated with cross-functional teams to deliver solutions. This balance is key for a role that requires both independent work and team contributions.
