At a Glance
- Tasks: Transform data processes and develop a digital asset management platform for the retrofit industry.
- Company: CARA_EPS, a forward-thinking company focused on data-driven solutions.
- Benefits: Gain hands-on experience, mentorship, and opportunities for career advancement.
- Why this job: Join a project that revolutionises housing associations with innovative data solutions.
- Qualifications: Experience in data engineering and a passion for technology.
- Other info: Be part of a dynamic team dedicated to making a real difference.
The predicted salary is between 36000 - 60000 £ per year.
Opportunity Overview
The KTP aims to transform CARA_EPS into a data-driven retrofit company, positioning them as the preferred partner for housing associations in their retrofit programs. The project aims to develop an integrated digital asset management (DAM) platform to address issues of unreliable property data and poor housebuilding procurement practices, which are common within the industry.
Data Engineer in England employer: University of Salford
Contact Detail:
University of Salford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a personal website or a GitHub repo, let us see what you can do with data and how you tackle real-world problems.
✨Tip Number 3
Prepare for those interviews! Research common data engineering questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate, get your application in today!
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills that align with our project goals, especially in data management and digital platforms.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about transforming companies into data-driven powerhouses. Share specific examples of how you've tackled similar challenges in the past.
Showcase Your Technical Skills: Don’t forget to list your technical skills clearly! We want to see your expertise in data integration, asset management systems, and any programming languages you’re proficient in.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at University of Salford
✨Know Your Data Inside Out
As a Data Engineer, you’ll need to demonstrate your understanding of data management and integration. Brush up on the latest tools and technologies relevant to digital asset management platforms, and be ready to discuss how you've used them in past projects.
✨Showcase Problem-Solving Skills
The role involves addressing issues like unreliable property data. Prepare examples from your experience where you identified a problem, implemented a solution, and improved data quality or procurement practices. This will show your potential employer that you can tackle real-world challenges.
✨Understand the Company’s Vision
Familiarise yourself with CARA_EPS and their goals in becoming a data-driven retrofit company. Being able to articulate how your skills align with their mission will set you apart. It shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.
✨Prepare Questions That Matter
Interviews are a two-way street. Prepare insightful questions about the project and the team dynamics. Ask about the challenges they face with data management and how you can contribute to overcoming them. This demonstrates your enthusiasm and proactive mindset.