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- Tasks: Manage data pipelines and design data flow for operational insights.
- Company: Nautilus Search, a forward-thinking company focused on performance engineering.
- Benefits: Salary up to £65,000, hybrid work model, and opportunities for growth.
- Other info: Work three days onsite in vibrant Southampton with a collaborative culture.
- Why this job: Join a dynamic team and shape the future of data-driven decision making.
- Qualifications: Relevant engineering degree and experience in data analysis and dashboard creation.
The predicted salary is between 65000 - 65000 £ per year.
Nautilus Search is seeking a Performance Engineer to manage the data pipeline across their operational fleet. The role involves designing how data flows from onboard systems to internal tools and customer reporting, and ensuring performance is accurately captured for engineering insights.
Ideal candidates will have a relevant engineering degree and experience with data analysis, dashboard creation, and engineering data.
The position offers a salary of up to £65,000 and a hybrid working model with three days onsite in Southampton.
Performance Data Engineer — Fleet Insights & Dashboards (Hybrid) in Southampton employer: Nautilus Search
Contact Detail:
Nautilus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance Data Engineer — Fleet Insights & Dashboards (Hybrid) in Southampton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Nautilus Search. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you've got a portfolio of dashboards or data projects, make sure to highlight them during interviews. We want to see how you can bring your engineering expertise to the table.
✨Tip Number 3
Prepare for technical questions! Brush up on your data analysis techniques and be ready to discuss how you would manage data pipelines. We love candidates who can think on their feet and solve problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals who are eager to join our team.
We think you need these skills to ace Performance Data Engineer — Fleet Insights & Dashboards (Hybrid) in Southampton
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your engineering degree and any relevant experience you have with data analysis and dashboard creation. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past experiences relate to managing data pipelines and ensuring performance insights, as this will really catch our eye.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. 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 the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Nautilus Search
✨Know Your Data Pipeline
Make sure you understand the data pipeline process thoroughly. Be ready to discuss how data flows from onboard systems to internal tools and customer reporting. Highlight any relevant experience you have in managing similar processes.
✨Showcase Your Engineering Insights
Prepare to talk about how you've captured performance data in previous roles. Bring examples of how your insights led to improvements or changes in engineering practices. This will demonstrate your ability to contribute to their operational fleet.
✨Familiarise Yourself with Dashboard Creation
Since the role involves dashboard creation, brush up on the tools and technologies you’ve used for this purpose. Be ready to discuss specific dashboards you've created and how they helped in data analysis or decision-making.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s current data challenges or future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.