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- Tasks: Lead the migration to a new AWS data platform and mentor team members.
- Company: Dynamic data transformation company based in Manchester.
- Benefits: Competitive salary, bonus scheme, and 25 days annual leave.
- Why this job: Join a forward-thinking team and drive advanced analytics and machine learning initiatives.
- Qualifications: Strong AWS knowledge and experience in ETL processes.
The predicted salary is between 36000 - 60000 £ per year.
A data transformation company in Manchester is looking for a Senior Data Engineer to lead the migration to a new AWS data platform. The role involves mentoring team members and developing advanced analytics and machine learning initiatives. The ideal candidate should have strong AWS knowledge and experience in ETL processes. This position offers a competitive salary, bonus scheme, and generous annual leave including bank holidays.
Senior Data Engineer - AWS Lead (Hybrid, 25 Days Leave) in Manchester employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - AWS Lead (Hybrid, 25 Days Leave) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS. 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 ETL processes 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 common data engineering questions and AWS scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 - AWS Lead (Hybrid, 25 Days Leave) in Manchester
Some tips for your application 🫡
Show Off Your AWS Skills: Make sure to highlight your experience with AWS in your application. We want to see how you've used it in past projects, especially in data migration and ETL processes. This is your chance to shine!
Mentorship Matters: Since this role involves mentoring, share any experiences you have in guiding others. We love seeing candidates who can foster growth in their teams, so don’t hold back on those stories!
Be Specific About Your Projects: When detailing your previous work, be specific about the projects you've led or contributed to. We’re looking for concrete examples of your advanced analytics and machine learning initiatives, so make them count!
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 Lorien
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be prepared to discuss specific services like S3, Redshift, and Lambda, and how you've used them in past projects. This will show that you're not just familiar with AWS, but that you can leverage it effectively for data migration.
✨Showcase Your ETL Expertise
Since the role involves ETL processes, be ready to talk about your experience with data extraction, transformation, and loading. Bring examples of past projects where you successfully implemented ETL pipelines, and highlight any challenges you faced and how you overcame them.
✨Mentorship Matters
As a Senior Data Engineer, you'll be expected to mentor team members. Think of examples where you've guided others or led a team. Discuss your approach to mentoring and how you help others grow their skills, as this will demonstrate your leadership potential.
✨Prepare for Advanced Analytics Questions
The job mentions developing advanced analytics and machine learning initiatives, so be ready to discuss your experience in these areas. Brush up on relevant algorithms, tools, and frameworks you've used, and be prepared to explain how you've applied them to solve real-world problems.
