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- Tasks: Shape data solutions from the ground up and drive innovative projects.
- Company: Dynamic business investing heavily in data capabilities.
- Benefits: Up to £46,000 salary, flexible working, and growth opportunities.
- Why this job: Be at the forefront of data innovation and make a real impact.
- Qualifications: Experience in data engineering and a passion for building solutions.
- Other info: Remote work with 12 days per month in South Manchester.
The predicted salary is between 46000 - 46000 £ per year.
Remote (UK) | 12 days per month in the South Manchester area.
Up to £46,000, with flexibility for standout candidates.
If you're a Data Engineer who wants more than just maintaining pipelines, this is a chance to shape something from the ground up.
This role sits at the heart of a business investing heavily in its data capability. They're moving away from reactive reporting towards a modern...
Data Engineer in Newcastle upon Tyne employer: Tilt Recruitment Limited
Contact Detail:
Tilt Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to fellow Data Engineers on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and any cool data solutions you've built. This is your chance to shine and demonstrate how you can shape something from the ground up.
✨Tip Number 3
Prepare for those interviews! Research the company’s data strategy and think about how you can contribute. We want you to be ready to discuss how you can help them move towards modern data practices.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for standout candidates who are eager to make an impact in the data world.
We think you need these skills to ace Data Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that are relevant to the Data Engineer role. Highlight any projects where you've built or optimised data pipelines, as this will show us you're ready to shape something from the ground up.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission. Be specific about what excites you about this role and our company.
Showcase Your Projects: If you've worked on any interesting data projects, don't hesitate to mention them! Whether it's a personal project or something from a previous job, sharing your hands-on experience will help us see your potential.
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 regarding your application status.
How to prepare for a job interview at Tilt Recruitment Limited
✨Know Your Data Tools
Make sure you’re well-versed in the data tools and technologies mentioned in the job description. Brush up on your knowledge of data pipelines, ETL processes, and any specific programming languages or frameworks they use. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you’ve tackled complex data challenges. Think about how you approached the problem, the solutions you implemented, and the impact it had. This will demonstrate your ability to not just maintain but also innovate within data engineering.
✨Understand Their Business Goals
Research the company’s current data initiatives and how they align with their overall business strategy. Be ready to discuss how you can contribute to moving from reactive reporting to a more proactive data-driven approach. This shows that you’re not just interested in the role, but also in the company’s vision.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the role and the company. Inquire about their data architecture, future projects, or how they measure success in their data initiatives. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.