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- Tasks: Build data pipelines and orchestrate workflows for AI-driven projects.
- Company: Leading tech service provider with a forward-thinking team.
- Benefits: Flexible hybrid work, inclusive culture, and impactful projects.
- Other info: Great opportunity for career growth in an innovative environment.
- Why this job: Join a dynamic team and work on cutting-edge AI initiatives.
- Qualifications: Bachelor's degree and experience with Snowflake and Apache Airflow.
The predicted salary is between 45000 - 60000 £ per year.
A leading technology service provider is seeking a Data Engineer (Snowflake) for a hybrid role based in Newcastle or Erskine. The successful candidate will build data pipelines, orchestrate workflows, and implement CI/CD pipelines.
A Bachelor's degree and experience with Snowflake and Apache Airflow are required.
Join a forward-thinking team to work on impactful AI projects while enjoying flexible arrangements in an inclusive culture.
Snowflake Data Engineer – Hybrid, AI-Driven Projects employer: DXC Technology Inc.
Contact Detail:
DXC Technology Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer – Hybrid, AI-Driven Projects
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Snowflake or AI projects. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and workflows. Use platforms like GitHub to share your projects, especially if you've worked with Snowflake or Apache Airflow. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Think about how you’d tackle real-world problems using Snowflake and CI/CD practices. We want you to shine when it’s your turn to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and eager to join our forward-thinking team.
We think you need these skills to ace Snowflake Data Engineer – Hybrid, AI-Driven Projects
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Snowflake and Apache Airflow in your application. We want to see how you've built data pipelines and orchestrated workflows in your previous roles.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention your experience with CI/CD pipelines and how it relates to the AI-driven projects we’re working on.
Be Yourself: We value authenticity, so let your personality shine through in your written application. Share your passion for data engineering and how you can contribute to our inclusive culture.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you on board for this exciting opportunity!
How to prepare for a job interview at DXC Technology Inc.
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with building data pipelines and how you've used Snowflake in past projects. This will show that you're not just familiar with the tool, but that you can leverage it effectively.
✨Show Off Your Workflow Skills
Since the role involves orchestrating workflows, be prepared to talk about your experience with Apache Airflow. Have specific examples ready where you've implemented CI/CD pipelines or automated processes. This will demonstrate your hands-on experience and problem-solving skills.
✨Emphasise Team Collaboration
This position is part of a forward-thinking team, so highlight your ability to work collaboratively. Share examples of how you've contributed to team projects, especially in an AI context. This will help them see you as a great fit for their inclusive culture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI-driven projects and their approach to data engineering. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it makes for a more engaging conversation!