At a Glance
- Tasks: Design and maintain data pipelines using AWS, Pyspark, and Iceberg.
- Company: South 11, a forward-thinking company based in Manchester.
- Benefits: Competitive salary, generous bonus scheme, flexible leave, and health support services.
- Other info: Exciting opportunities for growth in a collaborative environment.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: Experience in data engineering and cloud technologies required.
The predicted salary is between 45000 - 60000 £ per year.
South 11 based in Manchester is seeking a skilled Data Engineer to enhance its Data Engineering Team. Candidates will maintain and evolve data infrastructure primarily on AWS, employing technologies like Pyspark and Iceberg.
Responsibilities include:
- Designing data pipelines
- Supporting cloud migration
- Ensuring data quality
Alongside a competitive salary of £45,000 to £60,000, the role offers a variety of benefits such as a generous bonus scheme, flexible leave, and access to health support services.
Data Engineer - AWS Pipelines & Lakehouse Architect in Manchester employer: South 11
South 11 is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development alongside a competitive salary and attractive benefits, including a generous bonus scheme and flexible leave. Join us to be part of a forward-thinking team dedicated to leveraging cutting-edge technologies in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - AWS Pipelines & Lakehouse Architect 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 mini-project or a portfolio showcasing your experience with AWS, Pyspark, and Iceberg. This hands-on demonstration can really set us apart from the crowd.
✨Tip Number 3
Ace the interview! Research common data engineering interview questions and practice your answers. We want to highlight our problem-solving skills and how we can contribute to maintaining and evolving their data infrastructure.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to match what South 11 is looking for in a Data Engineer.
We think you need these skills to ace Data Engineer - AWS Pipelines & Lakehouse Architect in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, Pyspark, and Iceberg. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 at South 11. Keep it engaging and personal.
Showcase Your Problem-Solving Skills:In your application, mention specific challenges you've faced in data engineering and how you tackled them. We love seeing candidates who can think critically and adapt to new situations!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at South 11
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Pyspark, and Iceberg. Brush up on how these technologies work together to build efficient data pipelines. Being able to discuss your hands-on experience with these tools will show that you’re not just familiar with them, but that you can actually apply them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Data engineering often involves troubleshooting and optimising processes, so having concrete examples ready will demonstrate your critical thinking and adaptability.
✨Understand the Company’s Needs
Research South 11 and their current data infrastructure. Knowing their goals and challenges will allow you to tailor your responses and show how you can contribute to their team. This also gives you a chance to ask insightful questions during the interview.
✨Practice Your Communication Skills
As a Data Engineer, you’ll need to explain complex concepts to non-technical stakeholders. Practice articulating your thoughts clearly and concisely. Consider doing mock interviews with friends or using online platforms to refine your delivery.
