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- Tasks: Modernise scientific software systems and support exciting experiments.
- Company: Leading UK scientific facility with a focus on innovation.
- Benefits: Hybrid work model, substantial benefits, and a collaborative environment.
- Why this job: Join a team making a real difference in scientific research.
- Qualifications: Experience in Python, cloud technologies, CI/CD, and agile methodologies.
- Other info: Great opportunity for growth in a dynamic scientific setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK scientific facility is looking for Software Engineers for their Data Acquisition Core Team. The role focuses on modernizing scientific software systems essential for conducting experiments.
Candidates should have a background in Python and experience with cloud technologies, CI/CD, and agile methodologies.
The position offers a hybrid work model with substantial benefits, emphasizing collaboration and innovation in the scientific domain.
Data Acquisition Software Engineer - Beamline Core employer: Diamond Light Source
Contact Detail:
Diamond Light Source Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Acquisition Software Engineer - Beamline Core
✨Tip Number 1
Network like a pro! Reach out to folks in the scientific and software engineering communities. Attend meetups or webinars related to data acquisition and cloud technologies. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to CI/CD and agile methodologies. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to software engineering and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace Data Acquisition Software Engineer - Beamline Core
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any experience you have with cloud technologies. We want to see how your skills align with our needs in modernising scientific software systems.
Be Agile: Since we value agile methodologies, mention any relevant experience you have working in agile teams. This will show us that you're ready to collaborate and adapt in our dynamic environment.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specifics of the Data Acquisition Software Engineer role. We love seeing candidates who take the extra step.
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’re considered for this exciting opportunity in our Data Acquisition Core Team.
How to prepare for a job interview at Diamond Light Source
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python in real-world applications, especially in scientific contexts.
✨Familiarise Yourself with Cloud Technologies
Since the role involves cloud technologies, do some research on the specific platforms the company uses. Be prepared to talk about your experience with cloud services and how they can enhance data acquisition processes.
✨Embrace Agile Methodologies
Understand the principles of agile methodologies and be ready to share examples of how you've applied them in previous roles. This will show that you can adapt to their collaborative work environment.
✨Show Your Passion for Innovation
This position emphasises collaboration and innovation, so come prepared with ideas on how to modernise scientific software systems. Discuss any innovative solutions you've implemented in the past to demonstrate your forward-thinking mindset.
