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- Tasks: Join us as a Senior Analytics Engineer and tackle big data projects in a SaaS environment.
- Company: Be part of a forward-thinking team in Southampton, blending engineering and data expertise.
- Benefits: Enjoy hybrid work flexibility with 2 days in the office and remote options.
- Why this job: Work on cutting-edge technology and make a real impact in data design and visualization.
- Qualifications: STEM degree required; experience in automotive or consultancy is a plus.
- Other info: Proficiency in Python and big data tools is essential for this role.
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.
Senior Engineer - Remote employer: rmg digital
Contact Detail:
rmg digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer - Remote
✨Tip Number 1
Make sure to highlight your experience with big data tools and Python in conversations. Be ready to discuss specific projects where you've utilized these skills, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest trends in Data Lake environments. Being able to speak knowledgeably about how you can contribute to this transition will set you apart from other candidates.
✨Tip Number 3
If you have a background in the automotive industry or experience with modeling simulations, prepare to share relevant examples. This could give you an edge, as it aligns well with the job requirements.
✨Tip Number 4
Engage with our team on social media or professional platforms. Building connections can provide insights into our company culture and values, which is crucial for a collaborative role like this.
We think you need these skills to ace Senior Engineer - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in engineering, computer science, or consultancy. Emphasize any work you've done with big data projects and your proficiency in Python.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's needs. Mention specific experiences that demonstrate your ability to contribute to a Data Lake environment.
Showcase Your Technical Skills: Clearly outline your technical skills related to big data tools and algorithm development. If you have experience in modelling simulations or the automotive industry, be sure to include that as well.
Highlight Collaboration Experience: Since the role involves collaboration, mention any past experiences where you worked in teams, especially on software-as-a-service projects or similar environments.
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've used. Highlight specific projects where you 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 experiences, particularly those involving data design or algorithm development.
✨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 success.
✨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, especially in hybrid or remote settings.
