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For Companies At a Glance
- Tasks: Develop scalable backend services and data pipelines for valuable insights.
- Company: High-growth tech organisation in the UK focused on AI-driven solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the evolving AI sector.
- Qualifications: Strong systems thinking, data modelling knowledge, and passion for analytics.
- Other info: Exciting career opportunities in a rapidly evolving technology landscape.
The predicted salary is between 48000 - 72000 £ per year.
A high-growth technology organization in the UK seeks a Senior Software Engineer (.NET) to join their Data & AI team. In this hybrid role, you will develop scalable backend services and data pipelines that turn transactions into valuable insights. Ideal candidates will have a strong systems thinking mindset, excellent knowledge of data modelling, and a passion for analytics. Join a company committed to innovative AI-driven solutions in a rapidly evolving sector.
Senior .NET Engineer: Data AI Backend & Pipelines employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior .NET Engineer: Data AI Backend & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the Data & AI space on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving .NET and data pipelines. This is your chance to demonstrate your systems thinking mindset and passion for analytics.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data modelling. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior .NET Engineer: Data AI Backend & Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with .NET and any relevant projects you've worked on. We want to see how your skills align with our need for scalable backend services and data pipelines.
Be Data-Driven: Since we're all about turning transactions into insights, share examples of how you've used data modelling in your previous roles. This will show us your passion for analytics and systems thinking.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
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 Omnis Partners
✨Know Your .NET Inside Out
Make sure you brush up on your .NET skills before the interview. Be ready to discuss your experience with backend services and data pipelines, as well as any specific projects you've worked on that showcase your expertise in this area.
✨Showcase Your Systems Thinking
Prepare examples that demonstrate your systems thinking mindset. Think about how you've approached complex problems in the past and be ready to explain your thought process. This will show the interviewers that you can tackle challenges effectively.
✨Get Familiar with Data Modelling
Since the role involves data modelling, make sure you understand the principles and best practices. Be prepared to discuss how you've applied these concepts in previous roles, and consider bringing along a portfolio of your work if applicable.
✨Passion for Analytics is Key
Express your enthusiasm for analytics during the interview. Share any personal projects or experiences that highlight your passion for turning data into insights. This will resonate well with a company focused on innovative AI-driven solutions.
