At a Glance
- Tasks: Build and maintain scalable data feeds while collaborating with analysts and engineers.
- Company: TJ Morris Ltd, a forward-thinking company in Liverpool.
- Benefits: Competitive salary up to £50,000, pension scheme, and generous holiday entitlement.
- Other info: Enjoy a hybrid working model and excellent career growth opportunities.
- Why this job: Join a dynamic team and make an impact through data insights and analytics.
- Qualifications: Experience in Python and SQL, with a passion for data engineering.
The predicted salary is between 50000 - 50000 £ per year.
TJ Morris Ltd in Liverpool is looking for a Data Engineer to join their Data Insights and Analytics team. Your primary role will involve building and maintaining data feeds, ensuring robust, scalable and efficient data provisioning. You will work closely with analysts and engineers, using Python and SQL to build the necessary infrastructure for data collection and transformation.
The company offers a hybrid working model, competitive salary up to £50,000 per annum depending on experience, and various employee benefits including a contributable pension scheme and generous holiday entitlement.
Hybrid Data Engineer: Build Scalable Data Feeds & Insights in Liverpool employer: TJ Morris Ltd
TJ Morris Ltd is an exceptional employer located in Liverpool, offering a dynamic work environment that fosters collaboration and innovation within the Data Insights and Analytics team. With a competitive salary of up to £50,000 and a hybrid working model, employees enjoy a healthy work-life balance alongside generous benefits such as a contributable pension scheme and ample holiday entitlement, making it an ideal place for those seeking meaningful career growth and development.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Engineer: Build Scalable Data Feeds & Insights in Liverpool
✨Tip Number 1
Network like a pro! Reach out to current employees at TJ Morris Ltd on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your Python and SQL prowess. This hands-on evidence can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data engineering interview questions. We can even do mock interviews together to boost your confidence.
✨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 candidates like you!
We think you need these skills to ace Hybrid Data Engineer: Build Scalable Data Feeds & Insights in Liverpool
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and SQL, as these are key skills for the role. We want to see how your background aligns with building scalable data feeds and insights.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering. Share specific examples of projects you've worked on that demonstrate your ability to build and maintain data infrastructure.
Showcase Your Problem-Solving Skills:In your application, mention any challenges you've faced in previous roles and how you overcame them. We love seeing candidates who can think critically and find efficient solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at TJ Morris Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these technologies to build data feeds or transform data.
✨Understand Data Provisioning
Familiarise yourself with concepts around scalable and efficient data provisioning. Be prepared to explain how you’ve ensured robustness in your previous work and share examples of challenges you faced and how you overcame them.
✨Collaboration is Key
Since you'll be working closely with analysts and engineers, think about how you can demonstrate your teamwork skills. Prepare examples of past collaborations and how they led to successful outcomes, especially in data-related projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the tools they use. This shows your genuine interest in the role and helps you assess if the hybrid working model aligns with your preferences.
