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- Tasks: Design and enhance 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, competitive salary, medical insurance, bonuses, and well-being budget.
- Why this job: Join a dynamic team and make an impact in the world of data analytics.
- Qualifications: Degree in computer science, 2+ years experience, and skills in Python, SQL, and AWS.
- Other info: Exciting opportunities 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) employer: BMLL
Contact Detail:
BMLL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer (Hybrid — AWS, Python)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a GitHub repository with projects that highlight your Python and AWS expertise. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Data Platform Engineer (Hybrid — AWS, Python)
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 match the job description, 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, mention specific examples where you've designed features or improved system reliability. We love seeing how you tackle challenges, especially in a data distribution context!
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 talk about how you've designed features for data distribution platforms in the past. Think of examples that highlight your ability to ensure system reliability and how you’ve implemented CI/CD workflows effectively.
✨Understand the Company’s Vision
Research the company’s goals and values. Being able to articulate how your skills and experiences align with their mission will show that you're genuinely interested in the role and the company.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about the team dynamics, the tech stack they use, or how they measure success in the Datafeed Distribution team. It shows you're engaged and eager to learn more.