At a Glance
- Tasks: Migrate data to AWS and develop innovative data solutions.
- Company: Join South 11, a forward-thinking company focused on real-time analytics.
- Benefits: Enjoy a competitive salary, bonuses, enhanced parental pay, and wellness support.
- Other info: Be part of a dynamic team with opportunities for professional growth.
- Why this job: Make a significant impact by enhancing our data platform and mentoring future talent.
- Qualifications: Experience in data engineering and cloud technologies, with strong mentoring skills.
The predicted salary is between 55000 - 80000 € per year.
South 11 is looking for a Senior Data Engineer to enhance their data platform. This role involves migrating from SQL Server to AWS, developing data solutions using AWS services, and automating data processes. The successful candidate will work with data scientists, mentor junior engineers, and implement data quality checks.
The role offers a salary between £55,000 and £80,000, alongside various employee benefits including bonuses, enhanced parental pay, and wellness support.
Senior Data Engineer — Cloud Platform & Real‑Time Analytics in Manchester employer: South 11
South 11 is an exceptional employer that fosters a collaborative and innovative work culture, where Senior Data Engineers can thrive while working on cutting-edge cloud technologies. With a strong emphasis on employee growth, mentorship opportunities, and a comprehensive benefits package including wellness support and enhanced parental pay, South 11 is dedicated to ensuring that its team members feel valued and empowered in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Cloud Platform & Real‑Time Analytics in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at South 11 on LinkedIn or other platforms. 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 portfolio showcasing your previous data engineering projects, especially those involving AWS. This will help us demonstrate our expertise in real-time analytics and cloud solutions.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on SQL, AWS services, and data automation techniques. We can even set up 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 our experience aligns with the role at South 11.
We think you need these skills to ace Senior Data Engineer — Cloud Platform & Real‑Time Analytics in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS and data migration. We want to see how you've tackled similar challenges in the past, so don’t hold back on those details!
Showcase Your Projects:Include specific examples of data solutions you've developed or automated processes you've implemented. We love seeing real-world applications of your skills, so let us know what you've achieved!
Be Clear and Concise:When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you're a great fit for the Senior Data Engineer role without 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 the role. Plus, it’s super easy!
How to prepare for a job interview at South 11
✨Know Your AWS Inside Out
Make sure you brush up on your AWS services knowledge, especially those relevant to data engineering. Be prepared to discuss how you've used services like S3, Redshift, and Lambda in past projects. This will show that you're not just familiar with the tools but can leverage them effectively.
✨Showcase Your Migration Experience
Since this role involves migrating from SQL Server to AWS, be ready to share specific examples of similar migrations you've handled. Discuss the challenges you faced, how you overcame them, and the impact your work had on the overall project. This will demonstrate your hands-on experience and problem-solving skills.
✨Emphasise Collaboration and Mentorship
As you'll be working with data scientists and mentoring junior engineers, highlight your teamwork and leadership experiences. Share stories that illustrate how you've successfully collaborated on projects and helped others grow in their roles. This will show that you're a team player who values knowledge sharing.
✨Prepare for Data Quality Discussions
Data quality is crucial in this role, so be ready to discuss your approach to implementing data quality checks. Bring examples of how you've ensured data integrity in previous projects and any tools or methodologies you've used. This will convey your commitment to delivering high-quality data solutions.
