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- Tasks: Design scalable data solutions on AWS and ensure system reliability.
- Company: Leading data analytics provider in the UK with a focus on innovation.
- Benefits: Competitive salary, hybrid working, generous leave, and continuous learning opportunities.
- Why this job: Join a dynamic team and enhance your skills while making an impact.
- Qualifications: Strong Python skills, experience with cloud tools, and a STEM background.
- Other info: Collaborate with multidisciplinary teams in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading data analytics provider in the UK is seeking a Data Platform Engineer to enhance their data processing platform. This role involves designing scalable solutions on AWS, ensuring system reliability, and collaborating with multidisciplinary teams.
The ideal candidate should have strong Python skills, experience with cloud tools, and a STEM background.
The position offers a competitive salary with numerous benefits including hybrid working, generous leave, and continuous learning opportunities.
Data Platform Engineer — AWS, Pipelines & Hybrid Work employer: BMLL Technologies Limited
Contact Detail:
BMLL Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer — AWS, Pipelines & Hybrid Work
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and Python. This gives us a chance to see your work in action and understand how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data platforms and cloud tools. Practise coding challenges and be ready to discuss your thought process—this is where we can really see your problem-solving skills shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our exciting projects.
We think you need these skills to ace Data Platform Engineer — AWS, Pipelines & Hybrid Work
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and Python. 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. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've tackled in previous roles, especially those involving data pipelines or cloud tools. We love seeing how you approach problems and find solutions!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at BMLL Technologies Limited
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Familiarise yourself with the specific services relevant to data processing and how they can be integrated into scalable solutions. Being able to discuss your experience with AWS confidently will show that you're ready to hit the ground running.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise during the interview. Have examples ready of projects where you've used Python for data processing or automation. This will not only highlight your technical skills but also your problem-solving abilities in real-world scenarios.
✨Collaboration is Key
Since this role involves working with multidisciplinary teams, be ready to discuss your experience collaborating with others. Share specific examples of how you've worked with different departments or stakeholders to achieve a common goal. This will illustrate your teamwork skills and adaptability.
✨Embrace Continuous Learning
The job description mentions continuous learning opportunities, so express your enthusiasm for professional development. Talk about any recent courses, certifications, or self-study you've undertaken related to data engineering or cloud technologies. This shows that you're proactive and committed to growing in your field.
