At a Glance
- Tasks: Integrate robotic systems into a cloud-native platform and build data ingestion pipelines.
- Company: Ellison Institute of Technology Oxford, focused on health, climate, and AI innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for impactful projects.
- Other info: Collaborative team environment with a focus on long-term solutions.
- Why this job: Join us to make a meaningful impact in cutting-edge technology and research.
- Qualifications: Strong programming skills in Python and experience with Kafka and MQTT.
The predicted salary is between 50000 - 70000 £ per year.
The Ellison Institute of Technology Oxford is seeking a Data Engineer to integrate robotic systems and lab instruments into a cloud-native platform. The role involves building high-throughput data ingestion pipelines and collaborating with engineers and scientists on impactful projects in health, climate, and AI.
The ideal candidate will have:
- a strong programming background in Python,
- experience with Kafka and MQTT,
- a systems-thinking mindset aimed at long-term solutions.
Join us to make a meaningful impact!
Edge-to-Cloud Data Engineer for Autonomous Systems in Oxford employer: Ellison Institute of Technology Oxford
The Ellison Institute of Technology Oxford is an exceptional employer, offering a collaborative work culture where innovation thrives. Employees benefit from opportunities for professional growth while contributing to groundbreaking projects in health, climate, and AI, all within a supportive environment that values meaningful impact.
Contact Details:
Ellison Institute of Technology Oxford Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Edge-to-Cloud Data Engineer for Autonomous Systems in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of data engineering, especially those working with cloud-native platforms. Use LinkedIn or industry meetups to connect and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Kafka, and MQTT. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on systems-thinking concepts. Be ready to discuss how you approach long-term solutions in data engineering. We want to see your thought process and problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our mission.
We think you need these skills to ace Edge-to-Cloud Data Engineer for Autonomous Systems in Oxford
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming prowess, especially in Python. We want to see how your experience with Kafka and MQTT can contribute to our cloud-native platform.
Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect how your background aligns with the role of Data Engineer at the Ellison Institute. We love seeing candidates who take the time to connect their experiences to our mission.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Ellison Institute of Technology Oxford
✨Know Your Tech Stack
Make sure you brush up on your Python skills, as well as your knowledge of Kafka and MQTT. Be ready to discuss how you've used these technologies in past projects, and think about specific examples where you’ve built data ingestion pipelines.
✨Show Your Systems-Thinking Mindset
Prepare to demonstrate your ability to think long-term about solutions. Think of scenarios where you’ve tackled complex problems and how you approached them with a systems-thinking perspective. This will show that you’re not just about quick fixes but are invested in sustainable solutions.
✨Collaborate and Communicate
Since this role involves working closely with engineers and scientists, be ready to talk about your collaboration experiences. Share examples of how you’ve effectively communicated technical concepts to non-technical team members, as this will highlight your teamwork skills.
✨Impact Matters
The job description mentions making a meaningful impact, so think about how your work has contributed to significant outcomes in previous roles. Prepare to discuss specific projects where your contributions led to positive changes, especially in health, climate, or AI.
