At a Glance
- Tasks: Lead the creation of a modern AWS data platform and manage business-ready datasets.
- Company: Innovative tech firm based in Leicestershire with a hybrid work model.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and enjoy a collaborative work environment.
- Why this job: Be at the forefront of data engineering and make a significant impact.
- Qualifications: Experience in Python and AWS, with a passion for data solutions.
The predicted salary is between 50000 - 65000 £ per year.
Leicestershire, hybrid
We are looking for a hands-on Data Engineer to lead the build of a modern AWS-based data platform, taking ownership from core infrastructure through to curated, business-ready datasets.
- Design, build, and operate a scalable AWS data platform, including storage, compute, security, and monitoring.
Data Engineer - Python/AWS in Leicester employer: Bis Henderson
Join a forward-thinking company in Leicestershire that values innovation and collaboration, offering a hybrid work environment that promotes work-life balance. As a Data Engineer, you'll have the opportunity to lead exciting projects on a modern AWS-based data platform while benefiting from a culture of continuous learning and professional development. With competitive benefits and a commitment to employee growth, this is an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Python/AWS in Leicester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and Python. We want to see how you’ve tackled real-world problems and built scalable data solutions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AWS knowledge and data engineering concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer - Python/AWS in Leicester
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with Python and AWS. We want to see how you've used these tools in real projects, so don’t hold back on the details!
Tailor Your Application:Make your application stand out by tailoring it to our job description. Use keywords from the listing, like 'scalable AWS data platform' and 'business-ready datasets', to show us you understand what we're looking for.
Be Clear and Concise:Keep your application clear and to the point. We appreciate a well-structured application that gets straight to the heart of your experience and skills without unnecessary fluff.
Apply Through Our Website:Don’t forget to apply 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 to do!
How to prepare for a job interview at Bis Henderson
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Familiarise yourself with services like S3, Redshift, and Lambda, as well as best practices for security and monitoring. Being able to discuss how you've used these tools in past projects will really impress them.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise, especially in data manipulation and ETL processes. Have examples ready where you've built or optimised data pipelines. They’ll want to see how you can leverage Python to solve real-world data challenges.
✨Understand Data Architecture
Get a solid grasp of data architecture principles. Be ready to discuss how you would design a scalable data platform and the considerations that come with it. This shows you’re not just a coder but someone who thinks strategically about data solutions.
✨Ask Insightful Questions
Prepare some thoughtful questions about their current data infrastructure and future plans. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street!
