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- Tasks: Join a team to work on innovative SaaS projects and big data solutions.
- Company: Be part of a forward-thinking company focused on cutting-edge technology.
- Benefits: Enjoy the flexibility of a hybrid work model with remote options.
- Why this job: This role offers a chance to shape data design and impact real-world applications.
- Qualifications: STEM degree required; experience in Python and big data tools is essential.
- Other info: Experience in automotive or consultancy is a plus!
The predicted salary is between 43200 - 72000 £ per year.
Job Title – Senior Analytics Engineer Location – Southampton (Hybrid) – 2 days a week in the office
While bringing your own unique expertise to the table – particularly if you’re from an engineering, computer science, automotive or consultancy background .
Collaborate on a cutting-edge software-as-a-service (SaaS) offering.
Dive into big data projects, helping the team transition to a Data Lake environment.
Bring a holistic approach to data design, algorithm development, and visualisation.
A STEM background with a degree in a relevant field such as computer science, engineering, or consultancy.
Experience in modelling simulations or the automotive industry is a bonus.
Proficiency in Python with a solid grasp of big data tools.
AWS Engineer - Fully Remote employer: rmg digital
Contact Detail:
rmg digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Engineer - Fully Remote
✨Tip Number 1
Make sure to showcase your experience with big data tools and Python in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will resonate well with the team.
✨Tip Number 2
If you have a background in engineering or consultancy, be prepared to discuss how those experiences can contribute to the SaaS offering. Relate your past work to the challenges faced in transitioning to a Data Lake environment.
✨Tip Number 3
Familiarize yourself with the latest trends in data design and visualization. Being able to discuss current methodologies and tools will demonstrate your commitment to staying updated in the field.
✨Tip Number 4
Network with professionals in the automotive industry or those who have experience in modelling simulations. This could provide you with valuable insights and connections that may help you stand out during the interview process.
We think you need these skills to ace AWS Engineer - Fully Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in engineering, computer science, or consultancy. Emphasize any relevant projects, especially those involving big data or Data Lake environments.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your unique expertise aligns with the company's goals. Mention specific skills like Python proficiency and experience with big data tools.
Showcase Relevant Projects: If you have worked on big data projects or simulations, include these in your application. Provide details about your role, the technologies used, and the impact of your work.
Highlight Your STEM Background: Clearly state your degree and any relevant coursework or certifications that relate to the position. This will help demonstrate your qualifications and fit for the role.
How to prepare for a job interview at rmg digital
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any big data tools you have experience with. Highlight specific projects where you've applied these skills, especially in a SaaS environment.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your analytical thinking and problem-solving skills. Prepare examples from your past work where you tackled complex data challenges or contributed to transitioning to a Data Lake environment.
✨Highlight Relevant Experience
If you have a background in engineering, computer science, or the automotive industry, make sure to emphasize this during the interview. Discuss how your unique expertise can contribute to the team's goals.
✨Prepare for Behavioral Questions
Be ready to answer behavioral questions that explore your collaboration and communication skills. Think of instances where you worked effectively in a team, particularly in hybrid or remote settings.
