At a Glance
- Tasks: Build data pipelines and work on AI innovation projects.
- Company: Leading tech firm in the UK with a focus on diversity and inclusion.
- Benefits: Structured training, mentorship, and real-world experience across industries.
- Other info: Great opportunity for career growth and skill development.
- Why this job: Join a supportive environment and make an impact in data and AI.
- Qualifications: Exposure to Snowflake, Databricks, and AI frameworks.
The predicted salary is between 20000 - 30000 £ per year.
A leading technology firm in the United Kingdom seeks a Data Engineer and AI Engineer to contribute to transformative projects in data engineering and AI innovation. Candidates should have exposure to relevant technologies like Snowflake, Databricks, and AI frameworks.
Joining the Academic Programme offers structured training, mentorship, and a supportive work environment focused on diversity and inclusion. Applicants gain real experience in multiple industry sectors while working on impactful solutions.
Data & AI Apprentice: Build Pipelines (Hybrid) employer: DXC Technology Inc.
Contact Detail:
DXC Technology Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Apprentice: Build Pipelines (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how a personal connection can give you the inside scoop and maybe even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake, Databricks, or AI frameworks. We love seeing practical examples of what you can do!
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering and AI questions. We recommend practising with friends or using mock interviews to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who want to make an impact.
We think you need these skills to ace Data & AI Apprentice: Build Pipelines (Hybrid)
Some tips for your application 🫡
Show Your Passion for Data & AI: When writing your application, let your enthusiasm for data engineering and AI shine through. We want to see how excited you are about the technologies like Snowflake and Databricks, so share any relevant projects or experiences that highlight your interest!
Tailor Your Application: Make sure to customise your application to fit the job description. We’re looking for candidates who understand the role and can demonstrate their skills in data engineering and AI innovation. Use keywords from the job description to show us you’re a perfect match!
Highlight Your Team Spirit: Since we value diversity and inclusion, it’s important to showcase your ability to work well in a team. Share examples of how you’ve collaborated with others in past projects or experiences, as this will resonate with our supportive work environment.
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at DXC Technology Inc.
✨Know Your Tech
Make sure you brush up on your knowledge of Snowflake, Databricks, and any AI frameworks mentioned in the job description. Be ready to discuss how you've used these technologies in the past or how you plan to apply them in future projects.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving data engineering or AI. Highlight your role, the challenges you faced, and the impact your work had. This will demonstrate your hands-on experience and problem-solving skills.
✨Emphasise Diversity and Inclusion
Since the company values diversity and inclusion, think about how you can contribute to this environment. Share experiences where you've worked with diverse teams or how you've fostered inclusivity in your previous roles.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of your interview. This could be about the mentorship opportunities in the Academic Programme or how the team approaches innovation in data and AI. It shows your genuine interest in the role and the company.