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For Companies At a Glance
- Tasks: Join us in data engineering, processing, and integrating data for impactful projects.
- Company: DXC Technology, a leader in tech with a focus on community and collaboration.
- Benefits: Flexible work model, inclusive culture, and opportunities for professional growth.
- Why this job: Be part of a team that values innovation and continuous learning in data engineering.
- Qualifications: Bachelor's degree and 5+ years in data engineering; eager learners welcome!
- Other info: Great career advancement opportunities in a dynamic and supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Job Description:
Essential Job Functions
- Participate in data engineering tasks, including data processing and integration activities.
- Assist in the development and maintenance of data pipelines.
- Collaborate with team members to collect, process, and store data.
- Contribute to data quality assurance efforts and adherence to data standards.
- Use data engineering tools and techniques to analyze and generate insights from data.
- Collaborate with data engineers and other analysts on data-related projects.
- Seek out opportunities to enhance data engineering skills and domain knowledge.
- Stay informed about data engineering trends and best practices.
Basic Qualifications
- Bachelor\’s degree in a relevant field or equivalent combination of education and experience
- Typically, 5+ years of relevant work experience in industry, with a minimum of 2 years in a similar role
- Proven experience in data engineering
- Proficiencies in data engineering tools and technologies
- A continuous learner that stays abreast with industry knowledge and technology
Other Qualifications
- Advanced degree in a relevant field a plus
- Relevant certifications, such as Oracle Certified Professional, MySQL Database Administrator a plus
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We\’re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
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Data & AI - AI Engineer 3 employer: DXC Technology
Contact Detail:
DXC Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI - AI Engineer 3
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a job that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, pipelines, and any cool insights you've generated. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Stay updated with industry trends! Follow relevant blogs, podcasts, or webinars to keep your knowledge fresh. This not only helps in interviews but also shows your passion for continuous learning.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team at DXC Technology. Let’s get you that AI Engineer role!
We think you need these skills to ace Data & AI - AI Engineer 3
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of AI Engineer. Highlight your experience in data engineering and any relevant tools you've used. We want to see how your skills match 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 data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Continuous Learning: We value continuous learners, so mention any recent courses, certifications, or projects that demonstrate your commitment to staying updated in the field. It shows us you're proactive and eager to grow!
Apply Through Our Website: For the best chance of success, make sure to apply through our website. This way, your application goes directly to us, and we can review it promptly. Plus, it’s super easy to do!
How to prepare for a job interview at DXC Technology
✨Know Your Data Engineering Tools
Make sure you’re well-versed in the data engineering tools and technologies mentioned in the job description. Brush up on your skills with platforms like MySQL or any relevant data processing tools. Being able to discuss your hands-on experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Collaboration Skills
Since collaboration is key in this role, prepare examples of how you've worked with team members on data-related projects. Highlight your ability to communicate effectively and how you’ve contributed to team success. This will demonstrate that you can thrive in their inclusive environment.
✨Stay Updated on Industry Trends
Being a continuous learner is crucial in the fast-evolving field of data engineering. Research the latest trends and best practices in data processing and integration. Bring up any recent developments during your interview to show your enthusiasm for the field and your commitment to professional growth.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and knowledge of data quality assurance. Practice explaining your thought process clearly and concisely. This will help you convey your expertise and confidence when tackling complex data challenges.