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- Tasks: Design and scale AWS solutions while ensuring system reliability.
- Company: Dynamic data analytics company in Greater London with a collaborative culture.
- Benefits: Competitive salary, discretionary bonus, hybrid work, and continuous learning opportunities.
- Why this job: Join a forward-thinking team and make an impact in the data analytics field.
- Qualifications: Experience with cloud tools, Python, and strong problem-solving skills.
- Other info: Exciting career growth in a supportive and innovative environment.
The predicted salary is between 36000 - 60000 £ per year.
A data analytics company in Greater London is looking for a Data Platform Engineer to join their Core Engineering team. This role involves designing solutions to scale AWS resources and maintaining system reliability.
Candidates should have strong experience with cloud tools, Python, and problem-solving skills. The company values a collaborative culture and offers a hybrid work environment with competitive benefits, including a discretionary bonus and continuous learning opportunities.
Data Platform Engineer — Aws, Pipelines in England employer: BMLL Technologies
Contact Detail:
BMLL Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer — Aws, Pipelines in England
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and might just land you a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio that highlights your experience with AWS and Python. This hands-on demonstration can really set you apart during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and cloud tools. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
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 Data Platform Engineer — Aws, Pipelines in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AWS and Python in your application. We want to see how you've tackled challenges in the past, so don’t hold back on those problem-solving stories!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention how your skills align with our needs for scaling AWS resources and maintaining system reliability. It shows us you’re genuinely interested!
Be Yourself: We value a collaborative culture, so let your personality shine through in your application. Share what makes you tick and how you work best in a team setting. We’re looking for a good fit, not just a list of qualifications!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at BMLL Technologies
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss how you've used AWS tools in past projects, especially in scaling resources and maintaining system reliability. This will show that you understand the core requirements of the role.
✨Show Off Your Python Skills
Prepare to demonstrate your Python expertise. You might be asked to solve a problem or write a small piece of code during the interview. Practising common data manipulation tasks or algorithms in Python can give you an edge.
✨Emphasise Problem-Solving Abilities
Think of specific examples where you've tackled complex problems in your previous roles. The company is looking for someone who can think critically and find solutions, so be ready to share your thought process and the outcomes of your efforts.
✨Fit into the Collaborative Culture
Since the company values collaboration, be prepared to discuss how you work in teams. Share experiences where you contributed to group projects or helped resolve conflicts. This will highlight your ability to thrive in their hybrid work environment.
