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: Exciting environment with continuous learning and career advancement opportunities.
- Why this job: Dive into cutting-edge AI tech and make a real impact in a dynamic team.
- Qualifications: Bachelor’s in Computer Science or related field; experience with Databricks preferred.
The predicted salary is between 50000 - 70000 € 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
Data Bricks Engineer in Penarth employer: ACCENTURE PTE LTD
As a leading employer in the tech industry, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and continuous learning. Our Data Bricks Engineer role offers employees the chance to work with cutting-edge generative AI technologies while collaborating with cross-functional teams in a supportive environment. With ample opportunities for professional growth and development, our team members are empowered to drive impactful solutions and advance their careers in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Bricks Engineer in Penarth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 related to 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 and scenarios related to data engineering and AI platforms. Practise explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Bricks Engineer in Penarth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Bricks Engineer role. Highlight your experience with Databricks 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 your background makes you a great fit for our team. Keep it engaging and personal – we love a good story!
Showcase Your Skills:Don’t just list your qualifications; demonstrate them! Include specific examples of how you've implemented infrastructure or optimised performance in past roles. We’re keen to see your problem-solving skills in action.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
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. Familiarise yourself with its features, capabilities, and best practices. Being able to discuss how you've used Databricks in past projects will show that you're not just familiar with the platform but can also leverage it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering or platform roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate your analytical and problem-solving skills, which are crucial for this role.
✨Collaborate and Communicate
Since this role involves working closely with cross-functional teams, be ready to talk about your experience collaborating with others. Highlight instances where your communication skills helped resolve issues or improve project outcomes. This will show that you can work independently while still being a team player.
✨Stay Current with AI Trends
Keep yourself updated on the latest advancements in generative AI and data processing. Mention any recent articles, webinars, or courses you've engaged with. This demonstrates your commitment to continuous learning and innovation, which aligns perfectly with the company's values.
