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- Tasks: Design scalable data pipelines and develop cloud-based platforms using AWS.
- Company: Dynamic data consultancy firm in Leeds with a growing team.
- Benefits: Hybrid working model, competitive salary, and opportunities for influence.
- Why this job: Join a forward-thinking team and shape the future of data engineering.
- Qualifications: Strong experience in data engineering, SQL skills, and familiarity with Python or Spark.
- Other info: Exciting career growth opportunities in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A data consultancy firm in Leeds is seeking a Senior Data Engineer to join their growing data team. This hands-on role involves designing scalable data pipelines and developing cloud-based data platforms using AWS services.
Ideal candidates will have:
- Strong experience with data engineering in a cloud environment
- Solid SQL skills
- Familiarity with Python or Spark
The role offers a hybrid working model and opportunities to influence data engineering practices within the team.
Senior Data Engineer: Cloud Platform (AWS), Hybrid Leeds employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Cloud Platform (AWS), Hybrid Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees at the consultancy firm on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and cloud projects. We want to see your hands-on experience with AWS, SQL, and Python or Spark in action.
✨Tip Number 3
Ace the interview! Brush up on common data engineering questions and be ready to discuss how you’ve tackled challenges in previous roles. We need to demonstrate our problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and provide updates directly.
We think you need these skills to ace Senior Data Engineer: Cloud Platform (AWS), Hybrid Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL and Python or Spark expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our data team. We love seeing genuine enthusiasm and a bit of personality.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's designing data pipelines or developing cloud platforms, we want to know what you've done and how it relates to the job.
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 Corecom Consulting
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Familiarise yourself with the specific services relevant to data engineering, like S3, Redshift, and Lambda. Being able to discuss how you've used these services in past projects will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess during the interview. You might be asked to solve a problem or optimise a query on the spot. Practising common SQL challenges beforehand will help you feel more confident and ready to impress with your technical skills.
✨Bring Your Python or Spark A-Game
If you have experience with Python or Spark, be ready to discuss specific projects where you've used these technologies. Think about the challenges you faced and how you overcame them. This will not only highlight your technical abilities but also your problem-solving skills.
✨Emphasise Collaboration and Influence
Since this role involves influencing data engineering practices, be prepared to talk about your experience working in teams. Share examples of how you've collaborated with others to improve processes or drive innovation. This will show that you’re not just a tech whiz, but also a team player who can contribute to the company culture.
