At a Glance
- Tasks: Design and implement features for a cutting-edge data distribution platform.
- Company: Leading data analytics firm in Greater London with a focus on innovation.
- Benefits: Hybrid work model, medical insurance, bonuses, and a well-being budget.
- Why this job: Join a dynamic team and make an impact in the data analytics space.
- Qualifications: Degree in computer science and expertise in Python, SQL, and AWS.
- Other info: Great opportunity for career growth in a collaborative environment.
The predicted salary is between 50000 - 60000 £ per year.
A leading data analytics firm in Greater London is looking for a Software Engineer to join their Datafeed Distribution team. The ideal candidate will have a degree in computer science, over 2 years of industry experience, and expertise in Python, SQL, and AWS.
Responsibilities include:
- Designing features for the data distribution platform
- Ensuring system reliability
- Implementing CI/CD workflows
The role offers a hybrid work model and competitive benefits including medical insurance, a bonus, and a well-being budget.
Data Platform Engineer (Hybrid — AWS, Python) in London employer: BMLL
Contact Detail:
BMLL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer (Hybrid — AWS, Python) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Platform Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and AWS. We want to see what you can do, so make sure to highlight any relevant work that demonstrates your expertise.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with CI/CD workflows. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Data Platform Engineer (Hybrid — AWS, Python) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and AWS. 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 excited about the Data Platform Engineer role and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially related to system reliability and CI/CD workflows. We love seeing how you think and approach problems!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at BMLL
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or coding challenges during the interview. Practice explaining your thought process clearly, as this will demonstrate your problem-solving abilities and how you approach complex issues.
✨Understand CI/CD Workflows
Since the role involves implementing CI/CD workflows, make sure you can explain what CI/CD means and how you've applied it in past projects. Highlight any tools you've used and the impact they had on project delivery.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the company culture, or specific challenges the Datafeed Distribution team is currently facing. This shows your genuine interest in the role and helps you assess if it's the right fit for you.