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: Great chance to enhance your skills in a supportive and innovative environment.
- 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 60000 - 80000 € 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 employer: ACCENTURE PTE LTD
As a leading employer in the tech industry, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our Data Bricks Engineer role offers not only competitive benefits and opportunities for professional growth but also the chance to work with cutting-edge generative AI technologies in a supportive environment. Located in a vibrant area, our team enjoys a balance of work and life, with access to continuous learning and development resources that empower employees to excel in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Bricks Engineer
✨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’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Bricks Engineer
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 Projects:If you've worked on any relevant projects, make sure to mention them in your application. Whether it's building data pipelines or optimising infrastructure, we want to see your hands-on experience and what you've achieved!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!
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 efficiency, as these are key aspects of the role.
✨Collaborate and Communicate
Since this role involves working closely with cross-functional teams, be prepared to demonstrate your teamwork and communication skills. Share experiences where you contributed to team discussions or collaborated on solution design.
✨Stay Current with Trends
Familiarise yourself with the latest advancements in generative AI and Databricks best practices. Showing that you're proactive about learning and staying updated will impress your interviewers and show your commitment to continuous improvement.
