At a Glance
- Tasks: Design scalable data transformations and optimise data pipelines using modern cloud technologies.
- Company: Join a dynamic team at a leading Cyber Security training provider in Gateshead.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of an innovative team with exciting projects and career advancement opportunities.
- Why this job: Shape a growing BI function and work with large datasets to make a real impact.
- Qualifications: Strong SQL and Python skills are essential; passion for data is a must.
The predicted salary is between 40000 - 50000 £ per year.
Cyber Security training courses is seeking a Data Engineer in Gateshead to join a new BI team. The role focuses on designing scalable data transformations and optimizing data pipelines while working with modern cloud technologies. This opportunity allows you to engage with large datasets, develop dashboards, and support governance initiatives.
Candidates should have strong SQL and Python skills, along with a desire to shape a growing BI function from the ground up.
Data Engineer: BI & Data Platform (Hybrid) in Gateshead employer: Cyber Security training courses
Join a forward-thinking company in Gateshead that prioritises innovation and employee development. As a Data Engineer, you'll be part of a collaborative BI team that values your input in shaping data solutions while enjoying a hybrid work model that promotes work-life balance. With opportunities for professional growth and a commitment to using cutting-edge technologies, this is an excellent place for those looking to make a meaningful impact in the field of data engineering.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: BI & Data Platform (Hybrid) in Gateshead
✨Tip Number 1
Network like a pro! Reach out to current employees at Cyber Security training courses on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your SQL and Python prowess. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and BI. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to highlight how we fit the role perfectly.
We think you need these skills to ace Data Engineer: BI & Data Platform (Hybrid) in Gateshead
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you can use these tools to design scalable data transformations and optimise data pipelines.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Data Engineer role. Let us know how your experience aligns with our needs in the BI team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
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’re considered for this exciting opportunity in Gateshead!
How to prepare for a job interview at Cyber Security training courses
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages, and think about how you can demonstrate your problem-solving abilities with data transformations.
✨Familiarise Yourself with Cloud Technologies
Since the role involves modern cloud technologies, do some research on the platforms the company might be using. Whether it's AWS, Azure, or Google Cloud, having a basic understanding of their data services will show that you're proactive and ready to hit the ground running.
✨Showcase Your Dashboard Development Skills
Prepare to talk about any dashboards you've created in the past. Bring examples if possible, and be ready to explain the thought process behind your design choices. This will highlight your ability to engage with large datasets and present them effectively.
✨Understand Governance Initiatives
Since the role supports governance initiatives, it’s important to understand what this means in the context of data engineering. Brush up on best practices for data quality and compliance, and be ready to discuss how you can contribute to these efforts in the new BI team.
