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- Tasks: Design and optimise large-scale data solutions and deliver scalable data pipelines.
- Company: Leading tech company with a focus on innovation and collaboration.
- Benefits: Hybrid working model, attractive employee benefits, pension, and flexible options.
- Why this job: Join a dynamic team and make an impact in data-driven decision-making.
- Qualifications: 5+ years experience with terabyte-scale databases and strong data engineering skills.
- Other info: Exciting opportunities for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading tech company is seeking a Senior Data Engineer to design and optimize large-scale data solutions. You will collaborate closely with various teams to deliver scalable data pipelines and ensure data-driven decision-making.
Candidates should have a minimum of 5 years experience with terabyte-scale databases, strong skills in data engineering principles, AWS, and Microsoft SQL Server.
The position offers a hybrid working model and attractive employee benefits including pension and flexible working options.
Senior Data Engineer – Cloud Data Lakes & ETL (Hybrid) employer: Reward
Contact Detail:
Reward Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer – Cloud Data Lakes & ETL (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving terabyte-scale databases and AWS. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on data engineering principles and cloud technologies. We recommend practising common interview questions and scenarios related to data pipelines and ETL processes.
✨Tip Number 4
Don’t forget to 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.
We think you need these skills to ace Senior Data Engineer – Cloud Data Lakes & ETL (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with terabyte-scale databases and data engineering principles. We want to see how your skills align with the role, so don’t be shy about showcasing your AWS and Microsoft SQL Server expertise!
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 team. We love seeing candidates who can connect their experience to our mission.
Showcase Your Projects: If you've worked on any large-scale data solutions or ETL processes, make sure to mention them! We’re interested in real-world examples that demonstrate your ability to design and optimise data pipelines.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Reward
✨Know Your Data Engineering Principles
Make sure you brush up on your data engineering principles before the interview. Be ready to discuss how you've applied these principles in past projects, especially with terabyte-scale databases. This will show that you have the practical experience they’re looking for.
✨Familiarise Yourself with AWS and SQL Server
Since the role requires strong skills in AWS and Microsoft SQL Server, take some time to review your knowledge of these platforms. Prepare to share specific examples of how you've used them to design and optimise data solutions in your previous roles.
✨Prepare for Collaboration Questions
As this position involves working closely with various teams, expect questions about collaboration. Think of examples where you successfully worked with others to deliver scalable data pipelines. Highlight your communication skills and how you ensure everyone is on the same page.
✨Show Enthusiasm for Hybrid Work
With a hybrid working model on offer, express your enthusiasm for this flexibility. Discuss how you manage your time and productivity in a hybrid environment, and be prepared to talk about how you stay connected with your team while working remotely.
