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- Tasks: Lead data migration strategies to cloud environments and develop scalable data pipelines.
- Company: Global leader in Veterinary Software with a focus on innovation.
- Benefits: Competitive benefits, hybrid work model, and impactful projects.
- Why this job: Make a positive impact in the veterinary industry while working with cutting-edge technology.
- Qualifications: Strong background in cloud data engineering and AI projects required.
- Other info: Join a dynamic team in London with excellent career growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A global leader in Veterinary Software is seeking a Senior Data Engineer to join their London team. This hybrid role involves leading data migration strategies to cloud environments, mainly AWS, and developing scalable data pipelines with various technologies like PHP and C#. A strong background in cloud data engineering and AI projects is preferred. This position offers competitive benefits and the chance to impact the veterinary industry positively.
Senior Data Engineer — Cloud Migrations & AI Pipelines employer: IDEXX
Contact Detail:
IDEXX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Cloud Migrations & AI Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the veterinary software space or data engineering community. LinkedIn is your best mate here—connect, engage, and don’t be shy to ask for informational chats.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud migration projects and AI pipelines. This is your chance to demonstrate what you can bring to the table, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of AWS and the technologies mentioned in the job description. We want you to feel confident discussing your experience with PHP and C#.
✨Tip Number 4
Apply through our website! It’s the easiest way to get noticed by the hiring team. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Senior Data Engineer — Cloud Migrations & AI Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud migrations and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your background in AWS and any AI projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the veterinary industry and how your expertise can make a difference. We love seeing genuine enthusiasm for the role!
Showcase Relevant Projects: If you've led any data migration strategies or developed scalable data pipelines, make sure to mention them. We’re keen to see real examples of your work that demonstrate your capabilities in PHP, C#, and cloud environments.
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 from our team!
How to prepare for a job interview at IDEXX
✨Know Your Cloud Inside Out
Make sure you brush up on your knowledge of AWS and cloud migration strategies. Be ready to discuss specific projects where you've successfully led data migrations, as well as any challenges you faced and how you overcame them.
✨Showcase Your Tech Skills
Prepare to talk about your experience with PHP and C#. Have examples ready that demonstrate how you've developed scalable data pipelines. If you can, bring along a portfolio or code samples to showcase your work.
✨Understand the Veterinary Software Landscape
Research the company and its impact on the veterinary industry. Being able to discuss how your role as a Senior Data Engineer can contribute to their mission will show your genuine interest and help you stand out.
✨Prepare for AI Discussions
Since AI projects are preferred, be ready to discuss any relevant experience you have in this area. Think about how you've integrated AI into data pipelines or any innovative solutions you've implemented that could benefit the company.
